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As our founding Data Engineer, you will do more than just build data pipelines; you will design and construct the central nervous system of our company. You are a systems thinker who sees data as the connective tissue that links our commercial, operational, and scientific functions. Your mission is to build a trusted, scalable, and secure data warehouse that will empower every department to move from intuition to insight.You will be responsible for the entire data lifecycle—from ingestion and transformation to modeling and delivery—ensuring that our data is not just available, but is also clean, reliable, and structured to answer the most critical business questions. You will be the technical cornerstone of our data transformation.&nbsp;Main Responsibilities&nbsp;Architect &amp; Build<ul><li>Lead the design, development, and deployment of our new enterprise data warehouse on a modern cloud platform</li><li>Develop and implement robust ETL/ELT processes to ingest data from diverse source systems across the company</li><li>Create logical and physical data models that are optimized for performance and ease of use for analytics</li></ul>&nbsp;Govern &amp; Maintain<ul><li>Establish and enforce data quality standards and frameworks to ensure the accuracy and integrity of our data assets</li><li>Monitor, troubleshoot, and optimize data pipelines and warehouse performance</li><li>Implement data security and access controls in partnership with the platform team</li></ul>&nbsp;Collaborate &amp; Enable<ul><li>Work with business stakeholders and analysts to understand their data needs and translate them into technical specifications</li><li>Partner with Application Owners to ensure you have a clear understanding of source system data structures and APIs</li><li>Create clear documentation for data models, data dictionaries, and pipeline logic to enable self-service and team understanding</li></ul>&nbsp;Your Core Expertise&nbsp;Data Engineering CraftsmanshipThis is your deep domain. You are a hands-on builder with demonstrable mastery in:<ul><li>Data Warehousing:&nbsp;Architecting and implementing modern cloud data warehouses (e.g., Azure Synapse, Databricks) from the ground up</li><li>Data Modeling:&nbsp;Designing and implementing robust, scalable data models (e.g., star schemas, Data Vault) that serve analytics and reporting needs</li><li>ETL/ELT Pipeline Development:&nbsp;Building, orchestrating, and maintaining resilient data pipelines to extract data from a variety of source systems (ERPs, CRMs, LIMS, flat files)</li><li>Advanced SQL:&nbsp;Possessing deep, fluent expertise in SQL for complex querying, data manipulation, and performance tuning</li><li>Programming for Data:&nbsp;Strong proficiency in a language like Python and its data ecosystem (Pandas, PySpark, etc.) for data transformation and automation</li><li>Cloud Data Services:&nbsp;Hands-on experience with cloud data tools (e.g., Azure Data Factory, AWS Glue)</li></ul>&nbsp;Your Broad Capabilities&nbsp;The Data SynthesizerThis is what makes you a strategic partner, not just a technician:<ul><li>Synthesis &amp; Systems Thinking:&nbsp;You naturally see how data from different parts of the business (Sales, Supply Chain, Manufacturing) fits together to tell a larger story. You design data models that enable this holistic view, allowing the business to synthesize information, not just analyze it in silos</li><li>Business Acumen:&nbsp;You are deeply curious about the "why" behind the data. You seek to understand the business processes that generate the data and the business objectives that analytics will support</li><li>Collaboration:&nbsp;You are a key partner to the entire Digital &amp; Technology team, working closely with Application Owners to understand source systems, Business Analysts to define data requirements, and BI Analysts who are the consumers of your work</li><li>Data Governance &amp; Quality:&nbsp;You are a champion for data quality. You build frameworks for data cleansing, validation, and monitoring because you know that analytics is worthless if the underlying data isn't trusted</li><li>Compliance &amp; Data Integrity:&nbsp;You have a strong appreciation for the principles of data integrity (ALCOA+) and the requirements of working in a GxP-regulated environment. You know how to build data systems that are secure, auditable, and compliant</li></ul>&nbsp;Key Requirements<ul><li>More than 3 years of dedicated experience as a Data Engineer, BI Developer, or in a similar data-focused role</li><li>Proven, hands-on experience building and managing data warehouses and complex ETL/ELT pipelines</li><li>Expert-level proficiency in SQL</li><li>Strong programming skills in Python for data manipulation</li><li>Experience with at least one major cloud platform (Azure, AWS, or GCP) and its data services</li><li>Bachelor's degree in Computer Science, Engineering, Mathematics, or a related quantitative field</li><li>Fluency in both Greek and English</li></ul>&nbsp;Additional skills to be considered as advantages<ul><li>Experience working in the pharmaceutical, life sciences, or another regulated GxP industry is a massive advantage</li><li>Hands-on experience with modern data stack tools (e.g., Spark, Airflow)</li><li>Experience with data visualization tools (e.g., Power BI, Tableau) to understand the needs of your end-users</li><li>Cloud data engineering certifications (e.g., Azure Data Engineer Associate, AWS Certified Data Analytics)</li></ul>

Data Engineer

As a Retail Analytics Specialist, you will play a key role in supporting the strategic direction of Allwyns’s retail network. You’ll contribute to the definition of business objectives, commercial KPIs, and budget planning, while monitoring performance and delivering insightful reports. Additionally, you’ll provide comprehensive analytics and reporting across the entire retail ecosystem, supporting stakeholders at all levels, from agents and Marketing Units to Area Managers, Sales teams, and top management.&nbsp;What your day to day will include:<ul><li>Monitoring retail network KPIs (Allwyn stores, Play Stores, indirect channels) and developing Power BI reports (annual, quarterly, monthly, ad-hoc) with detailed performance analysis by region, store, and product.</li><li>Conducting post-investment appraisal of retail initiatives, evaluating store uplift based on solid methodologies.</li><li>Ensuring accuracy and stability of reporting tools, combining technical expertise with business understanding.</li><li>Collaborating with the AI team on root cause analysis and predictive modeling and expanding reporting automation using AI capabilities.</li><li>Expanding automation in reporting utilizing AI features</li><li>Aligning with BI team to optimize data infrastructure that supports the team's reporting needs.</li><li>Providing clear &amp; meaningful KPI specs, efficient database preparation &amp; ensuring optimized Power BI reports</li></ul>&nbsp;What you’ll bring:<ul><li>Bsc in Management Science &amp; Technology, Mathematics, Statistics, Computer Science or relevant field, Master's degree will be considered an asset</li><li>Hands-on experience in data mining and analysis of big data in large-scale data environments</li><li>Excellent knowledge of SQL and ETL/ELT processes</li><li>Good knowledge of programming languages, statistical models and analytics tools (Python, R, Databricks, SAS)</li><li>Solid experience in data visualization tools (Power BI, Tableau)</li><li>Advanced MS Excel knowledge</li><li>Familiarity with ML/AI applications in retail or behavioural analytics</li><li>Strong analytical and conceptual thinking; ability to translate findings into real-world recommendations</li><li>Excellent communication skills in English &amp; Greek</li><li>Good Knowledge of the gaming industry will be considered an asset</li></ul>&nbsp;What’s&nbsp;in it for you?&nbsp;🚀 An award-winning working environment &nbsp;💸 Competitive salary package and bonus scheme &nbsp;🩺&nbsp;Health insurance coverage, Pension Plan and Annual Health Checkup &nbsp;💻&nbsp;Hybrid working model &nbsp;🏢 State of the art facilities including gym&nbsp;&amp;&nbsp;restaurant&nbsp;🎓 Continuous learning powered by Allwyn Academy &nbsp;💼 Internal career opportunities &nbsp;👪&nbsp;Family Support incl. daycare&nbsp;voucher&nbsp;and assisted reproduction&nbsp;voucher&nbsp;🌱 Volunteering program, including 2 extra days off to give back&nbsp;💪 Well-Being Program incl. sports teams, nutritionist &amp; psychologist services, Employee Assistance line and more&nbsp;🗓️ Allwyn Day - one extra day off&nbsp;&nbsp;🍴 Monthly food allowance&nbsp;&nbsp;🚌&nbsp;Shuttle service for easy commute to our offices&nbsp;🛍️ Exclusive employee discounts across a range of partners ️&nbsp;

Retail Analytics Specialist (3962)

We are searching for a&nbsp;Senior Data Software Engineer&nbsp;to guide the development of our forward-thinking supply-chain data analytics platform.This platform offers a comprehensive perspective of suppliers, products, material categories, shipments, and compliance activities, leveraging artificial intelligence to provide actionable insights and custom recommendations for our clients.If this role matches your career aspirations – apply today!The remote option applies only to the Candidates who will be working from any location in Greece.Responsibilities<ul><li>Design and develop data architectures and ETL pipelines using Databricks and external orchestrators like Airflow</li><li>Collaborate with machine learning teams to incorporate AI-driven insights into the platform</li><li>Implement system-level enhancements and components for efficient data engineering</li><li>Optimize data-focused platforms to enhance performance and scalability</li><li>Ensure compliance with software engineering best practices, including containerization, unit testing, linting, and code style adherence</li><li>Oversee and improve data workflows, Delta Lake, and Delta Live Tables within Databricks</li><li>Provide technical mentorship and support to data engineers on the team</li><li>Engage effectively with clients and stakeholders to align solutions with their needs</li><li>Navigate uncertainty and independently complete project deliverables</li></ul>Requirements<ul><li>Background in leading data engineering projects with the Databricks platform</li><li>Knowledge of data architectures and data modeling</li><li>Skills in designing and building ETL pipelines utilizing Databricks and external orchestrators (e.g., Airflow)</li><li>Proficiency in using Databricks (Delta Lake, workflows, Delta Live Tables, deployment, and versioning)</li><li>Expertise in Python with a focus on cloud-native technologies</li><li>Proficiency in Spark/PySpark</li><li>Background in engineering with either AWS or Azure</li><li>Skills in handling big data and optimizing performance in data-intensive environments</li><li>Strong initiative combined with experience interacting directly with clients</li><li>Adaptability to manage ambiguity and independently drive outcomes</li><li>Competency in operating within a fast-paced startup environment with transparency</li><li>Fluency in English at a B2 level</li></ul>Nice to have<ul><li>Familiarity with setting up or maintaining CI/CD pipelines on Azure DevOps</li><li>Understanding of Data Observability and approaches to Data Quality Monitoring</li><li>Background in integrating data quality checks into data pipelines</li></ul>We offer<ul><li>For you:<ul><li>Remote and hybrid work opportunities</li><li>Option to work from our centrally located office in Athens</li><li>Corporate laptop provided</li><li>Option to work on your own device</li><li>Private health insurance</li><li>Meal vouchers / restaurant tickets</li><li>My Benefit card (additional benefit card from Edenred of 22€ per month (264€ per year)</li><li>Monthly transportation card for those located in Athens to use public transportation to visit the office and/or clients</li></ul></li><li>For your growth:<ul><li>Global and diverse client portfolio, large-scale projects, and trendy technologies</li><li>Diverse multicultural, multi-functional, and multilingual work environment</li><li>Opportunity to contribute to internal and open-source products</li><li>Outstanding career development opportunities with a transparent career path and a roadmap to accelerate your journey</li><li>Possibility to create a Personal Development Plan from the first day in the company</li><li>Numerous opportunities for self-development: hard &amp; soft skills internal training courses, mentoring programs, and unlimited access to LinkedIn Learning courses, external e-Libraries</li><li>Certification opportunities</li><li>Knowledge-sharing with colleagues from EPAM's global tech and non-technical communities</li><li>Language courses</li></ul></li></ul>EPAM strives to provide its global team of over 61,700 professionals in more than 55 countries with opportunities for professional growth from day one of collaboration. Our colleagues are the source of EPAM's success, so we value cooperation, strive to always understand our clients' business and aim for the highest quality standards. No matter where you are, you will join a dedicated, diverse community that will help you realize your potential to the fullest

Senior Data Software Engineer Remote

We are searching for a&nbsp;Lead Data Software Engineer&nbsp;to join our team and oversee the development of our cutting-edge supply-chain data analytics platform.This platform delivers a comprehensive view of suppliers, products, material categories, shipments, and compliance activities while employing artificial intelligence to generate insights and recommendations tailored to our clients’ needs.If this role excites you – apply!The remote option applies only to the Candidates who will be working from any location in Greece.Responsibilities<ul><li>Design and develop data architectures and ETL pipelines utilizing Databricks and external orchestrators such as Airflow</li><li>Collaborate with machine learning teams to incorporate AI-driven insights into the platform</li><li>Develop system-level improvements and components for data engineering workflows</li><li>Optimize the performance and scalability of data-intensive applications</li><li>Adhere to software engineering standards, including containerization, unit testing, linting, and code style reviews</li><li>Maintain and improve data workflow, Delta Lake, and Delta Live Tables within Databricks</li><li>Provide technical mentorship and leadership to the data engineering team</li><li>Engage with clients and stakeholders to understand their requirements and offer customized solutions</li><li>Tackle challenges independently and ensure successful project delivery</li></ul>Requirements<ul><li>Experience leading data engineering efforts on projects utilizing Databricks</li><li>Solid understanding of data architectures and skills in data modeling</li><li>Background in designing and building ETL pipelines in Databricks with external orchestrators such as Airflow</li><li>Hands-on expertise in Databricks (Delta Lake, workflows, Delta Live Tables, deployment, and versioning)</li><li>Proficiency in Python and cloud-native technologies</li><li>Competency in Spark/PySpark</li><li>Engineering experience with either AWS or Azure</li><li>Knowledge of big data and techniques for optimizing data-intensive applications</li><li>Strong communication skills with a proactive attitude and client-facing experience</li><li>Ability to navigate ambiguity and complete projects independently</li><li>Comfort working in a dynamic and transparent startup environment</li><li>Fluent English communication skills at a C1 level</li></ul>Nice to have<ul><li>Proficiency in configuring and managing CI/CD pipelines in Azure DevOps</li><li>Familiarity with Data Observability and Data Quality Monitoring practices</li><li>Capability to integrate data quality checks into data pipelines</li></ul>We offer<ul><li>For you:<ul><li>Remote and hybrid work opportunities</li><li>Option to work from our centrally located office in Athens</li><li>Corporate laptop provided</li><li>Option to work on your own device</li><li>Private health insurance</li><li>Meal vouchers / restaurant tickets</li><li>My Benefit card (additional benefit card from Edenred of 22€ per month (264€ per year)</li><li>Monthly transportation card for those located in Athens to use public transportation to visit the office and/or clients</li></ul></li><li>For your growth:<ul><li>Global and diverse client portfolio, large-scale projects, and trendy technologies</li><li>Diverse multicultural, multi-functional, and multilingual work environment</li><li>Opportunity to contribute to internal and open-source products</li><li>Outstanding career development opportunities with a transparent career path and a roadmap to accelerate your journey</li><li>Possibility to create a Personal Development Plan from the first day in the company</li><li>Numerous opportunities for self-development: hard &amp; soft skills internal training courses, mentoring programs, and unlimited access to LinkedIn Learning courses, external e-Libraries</li><li>Certification opportunities</li><li>Knowledge-sharing with colleagues from EPAM's global tech and non-technical communities</li><li>Language courses</li></ul></li></ul>EPAM strives to provide its global team of over 61,700 professionals in more than 55 countries with opportunities for professional growth from day one of collaboration. Our colleagues are the source of EPAM's success, so we value cooperation, strive to always understand our clients' business and aim for the highest quality standards. No matter where you are, you will join a dedicated, diverse community that will help you realize your potential to the fullest.

Lead Data Software Engineer (Databricks)

The Product Owner will form part of the product management team working with our industry-leading gaming products and platforms. Following the guidance and direction of the Product Manager, you will take ownership of specific parts of the product offering and key initiatives on the product roadmap. You will work closely with engineering teams, product designers, data analysts, and stakeholders to continuously improve our products and the user experience.A taster of what you will be involved with<ul><li>Produce detailed product specifications in the form of user stories with detailed acceptance criteria, complemented by descriptive aids such as wireframes and flowcharts where necessary, to ensure the development teams have all required information to deliver the desired outcome.</li><li>Lead the product discovery process for assigned initiatives (including hypothesis generation, requirements gathering, design, and scoping) in collaboration with the product manager, product designers, data analysts, and engineers.</li><li>Assist the product manager in ensuring that the product development backlog is properly organised, prioritised, and kept up-to-date.</li><li>Contribute to the product vision, and champion this vision with stakeholders and the engineering teams.</li><li>Ensure that proper analytics, tracking, and data collection mechanisms are in place to understand user behaviours and/or product performance.</li><li>Provide the necessary product support to the development teams as may be required to aid their delivery.</li><li>Work with other parts of the organisation as and when necessary to ensure the expected outcomes are achieved and are measured.</li><li>Communicate product releases and the status of ongoing product development to the wider organisation.</li><li>Hold effective demos and trainings with stakeholders for new product concepts and releases as and when required.</li><li>Ensure that relevant product documentation and wikis are well maintained.</li><li>Perform user acceptance testing of new product releases (or ensure coordination of).</li><li>Continuously review the live product to identify areas for improvement and any deviations from the expected experience.</li><li>Assist and support the Product Manager in any matters as may be delegated from time to time.</li><li>Learn the market &amp; customer needs through data and customer feedback.</li><li>Assist and drive the team to follow Agile principles best practices.</li></ul>What we are looking for:<ul><li>A relevant academic degree or qualifications; preferably technology and/or business related.</li><li>At least 2 years of experience working in a similar role.</li><li>Prior experience in the gaming industry will be considered a plus.</li><li>Excellent communication skills in English, both verbally and in writing.</li><li>Experience working with agile and remote development teams.</li><li>Comfortable and confident working with both the technical and commercial sides of an organisation.</li><li>Strong problem-solving skills, with the ability to break down complex problems into solvable and easily understandable parts.</li><li>Excellent decision-making skills, with the ability to logically measure risk against potential gain.</li><li>A team player capable of building positive working relationships across the company.</li><li>A keen eye for detail and a user-centric mindset.</li></ul>What we offerMuch like a rollercoaster, life at Betsson Group is fast-paced, full of twists and turns, and always exciting. With more than 2,800 colleagues representing over 75 nationalities across a global network of offices – including 1,500 at our operational headquarters in Malta – every day brings new challenges and opportunities to grow. It may not be for the faint-hearted, but if you thrive on innovation, enjoy pushing boundaries and want to be part of a diverse, international team, then you’ll fit right in at Betsson.

Product Owner

We are seeking a Lead Data Scientist with expertise in Generative AI technologies, Python, and scalable machine learning solutions to design and deliver impactful AI applications. This role combines technical leadership with collaboration, driving innovation while aligning with business objectives.In this role, you will design and scale a sophisticated chatbot application leveraging Generative AI to simplify workflows and answer natural language questions by retrieving insights from APIs and unstructured data sources.The remote option applies only to the Candidates who will be working from any location in Greece. #LI-DNI#LI-YAROSLAVADIAKOVAResponsibilities<ul><li>Combine technical leadership with strategic oversight to guide AI/ML initiatives</li><li>Own and manage the lifecycle of AI/ML models, from code development and evaluation to production deployment</li><li>Optimize and fine-tune models to ensure accuracy and high performance in real-world scenarios</li><li>Implement robust model evaluation and drift testing processes to maintain reliability</li><li>Establish and enforce coding and model standards to ensure production-grade quality</li><li>Collaborate closely with engineering and business teams to define project objectives, requirements, and roadmaps</li><li>Deliver scalable AI solutions, advancing prototypes to production-ready systems</li></ul>Requirements<ul><li>5+ years of professional experience in Data Science</li><li>1+ years of leadership experience in relevant roles</li><li>Proven proficiency in NLP/LLMs/GenAI methods</li><li>Advanced Python skills, with expertise in TensorFlow, PyTorch, and Scikit-Learn for AI model development</li><li>Proven expertise in building and deploying production-grade AI/ML models with robust pipelines, monitoring practices, and operationalization in real-world environments</li><li>Strong background in data analysis and probability for model interpretation and insights</li><li>Proficiency in Azure and/or AWS cloud platforms for scalable, reliable deployments</li><li>Capability to define and uphold high-quality coding practices for maintainable and efficient systems</li><li>Excellent communication skills for explaining technical concepts effectively to technical and non-technical stakeholders</li><li>English level of minimum B2 (Upper-Intermediate) for effective communication</li></ul>Nice to have<ul><li>Experience with DevOps practices such as CI/CD pipelines, code versioning, and automated testing frameworks</li><li>Familiarity with MLflow for tracking experiments and enhancing model deployment workflows</li></ul>We offer<ul><li>For your comfortable work:<ul><li>Remote and hybrid work opportunities</li><li>Option to work from our centrally located office in Athens</li><li>Corporate laptop provided</li><li>Option to work on your own device</li><li>Private health insurance</li><li>Meal vouchers / restaurant tickets</li><li>My Benefit card (264€/year)</li><li>Monthly public transportation card</li></ul></li><li>For your growth:<ul><li>Global and diverse client portfolio, large-scale projects, and trendy technologies</li><li>Diverse multicultural, multi-functional, and multilingual work environment</li><li>Opportunity to contribute to internal and open-source products</li><li>Outstanding career development opportunities with a transparent career path and a roadmap to accelerate your journey</li><li>Possibility to create a Personal Development Plan from the first day in the company</li><li>Numerous opportunities for self-development: hard &amp; soft skills internal training courses, mentoring programs, and unlimited access to LinkedIn Learning courses, external e-Libraries</li><li>Certification opportunities</li><li>Knowledge-sharing with colleagues from EPAM's global tech and non-technical communities</li><li>Language courses</li></ul></li></ul>

Lead Data Scientist

We are seeking a highly motivated and experienced Presales Solution Consultant to join our growing Data &amp; AI practice.This role bridges technology with business value, helping clients harness the power of data to drive transformative business results. You will play a pivotal role in crafting innovative data solutions, supporting sales efforts, and delivering exceptional value to our clients through strategic consulting and technical expertise.The ideal candidate combines technical prowess with strong consulting and interpersonal skills, thrives in dynamic environments, and can align client requirements with modern data and analytics capabilities.This is an exciting opportunity to work with cutting-edge technologies and make a tangible impact across global industries.The remote option applies only to the Candidates who will be working from any location in Greece.Responsibilities<ul><li>Work closely with sales, delivery, and expert teams to align client needs with data-driven solutions, effectively connecting business challenges to our offerings</li><li>Own the end-to-end presales process, including opportunity qualification, solution design, proposal development, demos, and client presentations</li><li>Lead workshops and meetings with clients to gather business objectives and technical requirements, ensuring alignment between client goals and our solutions</li><li>Architect tailored data solutions, encompassing cloud-native platforms, data integration, advanced analytics, and AI/ML models, to provide actionable business insights</li><li>Develop competitive proposals, pricing models, and value propositions to successfully close opportunities and secure engagements</li><li>Stay updated on emerging trends in Data &amp; Analytics, Cloud, and AI, providing strategic advice to clients and supporting innovation within the practice</li><li>Contribute to the development of reusable solution frameworks, accelerators, and methodologies to drive operational efficiency</li><li>Act as a mentor and knowledge-sharer across the team, supporting skill-building and best practice dissemination</li></ul>Requirements<ul><li>Extensive experience in presales, solution architecture, or consulting, with a focus on Data/AI technologies and related business use cases</li><li>Strong technical knowledge of data platforms (e.g., Databricks, Snowflake, AWS/Azure/GCP Data Services), ETL processes, data modeling, BI tools, and data visualization frameworks (e.g., Power BI, Tableau)</li><li>Familiarity with data science techniques and proficiency in analyzing client needs to align with technical solutions</li><li>Excellent communication and storytelling skills—able to translate complex technical concepts into clear, client-friendly narratives</li><li>Proven track record in engaging with senior stakeholders and delivering impactful presentations or pitches</li><li>Experience in creating detailed proposals, RFP responses, and pricing/engagement models for data-related services or projects</li><li>Understanding of strategic consulting principles and the ability to develop future-state recommendations and roadmaps for client success</li><li>Strong organizational, leadership, and project scoping abilities, with a proven ability to manage complex tasks in a fast-paced environment</li><li>Bachelor's or master's degree in data science, Computer Science, Business Analytics, or a related field (or equivalent professional experience)</li><li>Excellent English communication skills, with the ability to clearly and effectively explain technical concepts to diverse audiences</li></ul>We offer/BenefitsFor your comfortable work:<ul><li>Remote and hybrid work opportunities</li><li>Option to work from our centrally located office in Athens</li><li>Corporate laptop provided</li><li>Private health insurance</li><li>Meal vouchers / restaurant tickets</li><li>My Benefit card (264€/year)</li><li>Monthly public transportation card</li></ul>For your growth:<ul><li>Global and diverse client portfolio, large-scale projects, and trendy technologies</li><li>Diverse multicultural, multi-functional, and multilingual work environment</li><li>Opportunity to contribute to internal and open-source products</li><li>Outstanding career development opportunities with a transparent career path and a roadmap to accelerate your journey</li><li>Possibility to create a Personal Development Plan from the first day in the company</li><li>Numerous opportunities for self-development: hard &amp; soft skills internal training courses, mentoring programs, and unlimited access to LinkedIn Learning courses, external e-Libraries</li><li>Certification opportunities</li><li>Knowledge-sharing with colleagues from EPAM's global tech and non-technical communities</li><li>Language courses</li></ul>

Presales Solution Consultant – Data and AI

EPAM is looking for a skilled&nbsp;Senior Palantir Data Engineer&nbsp;to join our growing global team of data engineering professionals. This is an exciting opportunity to work on cutting-edge Data Transformation projects that utilize Big Data and Machine Learning to solve emerging challenges in the Property &amp; Casualty business domain.If you’re eager to apply your expertise in Python/PySpark, SQL and Palantir to design and implement complex data pipelines while collaborating with a multicultural and dynamic team, we’d love to hear from you!The remote option applies only to the Candidates who will be working from any location in Greece. #LI-DNI#LI-YAROSLAVADIAKOVAResponsibilities<ul><li>Lead the design and implement robust, large-scale data pipelines and analytics solutions</li><li>Oversee the monitoring and optimization of data pipelines for performance and scalability using advanced tools and techniques, including Python/PySpark and structured query languages</li><li>Optimize data workflows to support critical decision-making processes</li><li>Harness state-of-the-art tools and technologies (including Palantir Foundry) to address new and emerging business challenges</li><li>Partner with cross-functional and globally distributed teams (e.g., data scientists, analysts, business stakeholders) to align project goals and execution strategies</li><li>Contribute to a global strategic initiative focused on enhancing the ability to make data-driven decisions across the Property &amp; Casualty value chain</li><li>Stay ahead of emerging technologies and trends (e.g., Generative AI, Machine Learning) and recommend potential applications in the data ecosystem</li></ul>Requirements<ul><li>Bachelor’s degree (or equivalent) in Computer Science, Data Science or a related discipline</li><li>5+ years of experience working with large-scale distributed computing systems</li><li>Proficiency in Python/PySpark to build and optimize complex data pipelines</li><li>Hands-on experience working with Databricks for large-scale data processing and analytics</li><li>Strong SQL skills (preferably Spark SQL) for data querying and manipulation</li><li>Deep understanding of data warehousing concepts and ELT techniques</li><li>Experience with Palantir Foundry is a must</li><li>Familiarity with Agile and Scrum development methodologies</li><li>Strong analytical and problem-solving skills</li><li>Self-starter with a positive outlook and an eagerness to learn</li><li>Self-direction and effective workload management</li><li>Ability to work enthusiastically in a global and multicultural environment</li><li>Strong interpersonal and communication skills, including clear written and verbal expressions in complex contexts</li></ul>Nice to have<ul><li>Knowledge of HTML, CSS, JavaScript and Gradle</li><li>Experience in the insurance domain or the financial industry</li><li>Familiarity with Microsoft Power BI</li><li>Exposure to Machine Learning or Generative AI technologies</li></ul>We offer<ul><li>For you:<ul><li>Remote and hybrid work opportunities</li><li>Option to work from our centrally located office in Athens</li><li>Corporate laptop provided</li><li>Option to work on your own device</li><li>Private health insurance</li><li>Meal vouchers / restaurant tickets</li><li>My Benefit card (additional benefit card from Edenred of 22€ per month (264€ per year)</li><li>Monthly transportation card for those located in Athens to use public transportation to visit the office and/or clients</li></ul></li><li>For your growth:<ul><li>Global and diverse client portfolio, large-scale projects, and trendy technologies</li><li>Diverse multicultural, multi-functional, and multilingual work environment</li><li>Opportunity to contribute to internal and open-source products</li><li>Outstanding career development opportunities with a transparent career path and a roadmap to accelerate your journey</li><li>Possibility to create a Personal Development Plan from the first day in the company</li><li>Numerous opportunities for self-development: hard &amp; soft skills internal training courses, mentoring programs, and unlimited access to LinkedIn Learning courses, external e-Libraries</li><li>Certification opportunities</li><li>Knowledge-sharing with colleagues from EPAM's global tech and non-technical communities</li><li>Language courses</li></ul></li></ul>EPAM strives to provide its global team of over 61,700 professionals in more than 55 countries with opportunities for professional growth from day one of collaboration. Our colleagues are the source of EPAM's success, so we value cooperation, strive to always understand our clients' business and aim for the highest quality standards. No matter where you are, you will join a dedicated, diverse community that will help you realize your potential to the fullest

Senior Palantir Data Engineer

Senior Palantir Data Engineer Remote

We are seeking a highly skilled and motivated&nbsp;Senior Data Software Engineer&nbsp;to join our innovative team.In this role, you will leverage cloud-native technologies, including Databricks, Azure DevOps, Delta Lake tables, Spark Structured Streaming, and Lakehouse architecture, within our Microsoft Azure environment. You will play a pivotal role in processing large volumes of financial data, driving innovative solutions that enhance scalability, reduce processing latency, and improve transparency.The remote option applies only to the Candidates who will be working from any location in Greece. #LI-DNI#LI-IK2Responsibilities<ul><li>Engineer and maintain high-performance data solutions leveraging Python, Apache Spark, and Delta Lake</li><li>Participate in the full software development lifecycle, including requirements analysis, solution design, code reviews, and documentation</li><li>Collaborate with business partners, IT teams, and architects to ensure data pipelines meet complex and evolving requirements</li><li>Optimize financial data processing pipelines to improve scalability and reduce latency</li><li>Use automated testing to ensure reliability, stability, and accuracy in data processing</li><li>Break down complex data problems into achievable solutions through strong analytical skills</li><li>Support operations teams by troubleshooting and resolving complex pipeline issues</li><li>Identify opportunities for improvement and proactively address challenges</li><li>Design and implement robust relational data models and SQL-based solutions</li><li>Partner with the product owner and team members to deliver seamless data workflows</li><li>Build systems and pipelines that align with modern cloud-native architectural principles</li></ul>Requirements<ul><li>3+ years of professional experience in data engineering or software engineering roles</li><li>Strong core Python software engineering experience with proficiency in Apache Spark and Delta Lake</li><li>Expertise in relational data models and SQL for designing and managing large-scale data solutions</li><li>Knowledge of Azure Cloud Ecosystem, Databricks, and Azure DevOps</li><li>Background in financial data processing and handling large-scale analytics workloads</li><li>Familiarity with Spark Structured Streaming and its application to real-time data pipelines</li><li>Capability to develop, debug, and refine end-to-end automated testing processes</li><li>Experience with architectural practices related to Lakehouse platforms and data lake solutions</li><li>Fluency in English (B2 level) to collaborate effectively across remote and in-person teams</li></ul>Nice to have<ul><li>Understanding of modern big data processing techniques beyond Spark Structured Streaming</li><li>Background in optimizing Delta Lake and Lakehouse architectures for complex business needs</li><li>Showcase of delivering solutions in finance-specific domains or similar industries</li><li>Familiarity with designing and implementing pipelines in distributed systems with low latency</li></ul>We offer<ul><li>For you:</li><li>Paid annual vacation</li><li>Paid sick leave days</li><li>Private health insurance</li><li>Stable income</li><li>Meal and home office compensation</li><li>For your comfortable work:</li><li>Remote and hybrid work opportunities</li><li>Corporate laptop</li><li>Possibility to work on your own device</li><li>Free licensed software</li><li>Relocation opportunities</li><li>Free wellbeing activities</li><li>For your growth:</li><li>Possibility to create a Personal Development Plan from the first day in the company</li><li>Free trainings for technical and soft skills</li><li>Free access to LinkedIn Learning platform</li><li>Free access to internal and external e-Libraries</li><li>Certification opportunities</li><li>Language courses</li><li>Internal technical and non-technical communities</li><li>Possibility to contribute in internal, opensource products</li></ul>EPAM is a leading global provider of digital platform engineering and development services. We are committed to positively impacting our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to learn and grow continuously. You will join a dedicated, creative, and diverse community that will help you discover your fullest potential.EPAM is committed to providing our global team of 52,800+ EPAMers with inspiring careers. EPAMers lead with passion and honesty and think creatively. Our people are the source of our success, and we value collaboration, try always to understand our customers' business, and strive for the highest standards of excellence.

Senior Data Software Engineer

We are seeking a&nbsp;Senior Data Software Engineer&nbsp;to join our Data &amp; Analytics team, focusing on utilizing cloud-native technologies in our Microsoft Azure environment.You will be pivotal in processing large volumes of financial data, innovating to enhance scalability, reduce processing latency, and increase processing transparency. The ideal candidate will be involved in every stage of the development lifecycle, from engineering robust solutions to collaborating with business partners and supporting operations.The remote option applies only to the Candidates who will be working from any location in Greece.Responsibilities<ul><li>Develop and maintain high-stability, performant solutions within the Microsoft Azure environment</li><li>Utilize Databricks, Azure DevOps, Delta Lake tables, and spark structured streaming in project implementations</li><li>Collaborate with business partners and IT experts to understand requirements and shape solutions</li><li>Participate in code reviews to ensure software quality</li><li>Ensure accurate and up-to-date documentation of processes and solutions</li><li>Support operations team in addressing complex problems</li><li>Improve and maintain data processing pipelines used in financial data analysis</li><li>Break down complex requirements into achievable tasks</li><li>Ensure solutions are effectively tested and aligned with business needs</li></ul>Requirements<ul><li>At least 3 years of experience in Data Software Engineering</li><li>Proven core Python software engineering skills, ideally in a finance data context</li><li>Proficiency in Apache Spark and familiarity with Delta Lake tables</li><li>Strong background in relational data models and SQL</li><li>Experience using automated testing to ensure software quality</li><li>Strong analytical skills with the ability to manage complexity</li><li>Self-driven and proactive in addressing issues and opportunities</li><li>Fluent in English with effective collaboration skills in both in-person and remote settings</li><li>Competency in working within a Cloud-native environment, specifically with Microsoft Azure technologies</li><li>Ability to work onsite approximately 3 days per week</li></ul>Nice to have<ul><li>Experience in Lakehouse architecture</li><li>Understanding of low latency processing mechanisms</li><li>Prior exposure to financial data processing systems</li></ul>We offer<ul><li>For you:<ul><li>Remote and hybrid work opportunities</li><li>Option to work from our centrally located office in Athens</li><li>Corporate laptop provided</li><li>Option to work on your own device</li><li>Private health insurance</li><li>Meal vouchers / restaurant tickets</li><li>My Benefit card (additional benefit card from Edenred of 22€ per month (264€ per year)</li><li>Monthly transportation card for those located in Athens to use public transportation to visit the office and/or clients</li></ul></li><li>For your growth:<ul><li>Global and diverse client portfolio, large-scale projects, and trendy technologies</li><li>Diverse multicultural, multi-functional, and multilingual work environment</li><li>Opportunity to contribute to internal and open-source products</li><li>Outstanding career development opportunities with a transparent career path and a roadmap to accelerate your journey</li><li>Possibility to create a Personal Development Plan from the first day in the company</li><li>Numerous opportunities for self-development: hard &amp; soft skills internal training courses, mentoring programs, and unlimited access to LinkedIn Learning courses, external e-Libraries</li><li>Certification opportunities</li><li>Knowledge-sharing with colleagues from EPAM's global tech and non-technical communities</li><li>Language courses</li></ul></li></ul>EPAM strives to provide its global team of over 61,700 professionals in more than 55 countries with opportunities for professional growth from day one of collaboration. Our colleagues are the source of EPAM's success, so we value cooperation, strive to always understand our clients' business and aim for the highest quality standards. No matter where you are, you will join a dedicated, diverse community that will help you realize your potential to the fullest.

We are seeking a&nbsp;Senior Data Software Engineer&nbsp;to join our Data &amp; Analytics team, focusing on utilizing cloud-native technologies in our Microsoft Azure environment.You will be pivotal in processing large volumes of financial data, innovating to enhance scalability, reduce processing latency, and increase processing transparency. The ideal candidate will be involved in every stage of the development lifecycle, from engineering robust solutions to collaborating with business partners and supporting operations.The remote option applies only to the Candidates who will be working from any location in Greece. #LI-DNI#LI-YAROSLAVADIAKOVAResponsibilities<ul><li>Develop and maintain high-stability, performant solutions within the Microsoft Azure environment</li><li>Utilize Databricks, Azure DevOps, Delta Lake tables, and spark structured streaming in project implementations</li><li>Collaborate with business partners and IT experts to understand requirements and shape solutions</li><li>Participate in code reviews to ensure software quality</li><li>Ensure accurate and up-to-date documentation of processes and solutions</li><li>Support operations team in addressing complex problems</li><li>Improve and maintain data processing pipelines used in financial data analysis</li><li>Break down complex requirements into achievable tasks</li><li>Ensure solutions are effectively tested and aligned with business needs</li></ul>Requirements<ul><li>At least 3 years of experience in Data Software Engineering</li><li>Proven core Python software engineering skills, ideally in a finance data context</li><li>Proficiency in Apache Spark and familiarity with Delta Lake tables</li><li>Strong background in relational data models and SQL</li><li>Experience using automated testing to ensure software quality</li><li>Strong analytical skills with the ability to manage complexity</li><li>Self-driven and proactive in addressing issues and opportunities</li><li>Fluent in English with effective collaboration skills in both in-person and remote settings</li><li>Competency in working within a Cloud-native environment, specifically with Microsoft Azure technologies</li><li>Ability to work onsite approximately 3 days per week</li></ul>Nice to have<ul><li>Experience in Lakehouse architecture</li><li>Understanding of low latency processing mechanisms</li><li>Prior exposure to financial data processing systems</li></ul>We offer<ul><li>For you:</li><li>Paid annual vacation</li><li>Paid sick leave days</li><li>Private health insurance</li><li>Stable income</li><li>Meal and home office compensation</li><li>For your comfortable work:</li><li>Remote and hybrid work opportunities</li><li>Corporate laptop</li><li>Possibility to work on your own device</li><li>Free licensed software</li><li>Relocation opportunities</li><li>Free wellbeing activities</li><li>For your growth:</li><li>Possibility to create a Personal Development Plan from the first day in the company</li><li>Free trainings for technical and soft skills</li><li>Free access to LinkedIn Learning platform</li><li>Free access to internal and external e-Libraries</li><li>Certification opportunities</li><li>Language courses</li><li>Internal technical and non-technical communities</li><li>Possibility to contribute in internal, opensource products</li></ul>EPAM is a leading global provider of digital platform engineering and development services. We are committed to positively impacting our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to learn and grow continuously. You will join a dedicated, creative, and diverse community that will help you discover your fullest potential.EPAM is committed to providing our global team of 52,800+ EPAMers with inspiring careers. EPAMers lead with passion and honesty and think creatively. Our people are the source of our success, and we value collaboration, try always to understand our customers' business, and strive for the highest standards of excellence.

Intellectica is recruiting an AI Technical Architect on behalf of a leading technology services group headquartered in Athens, Greece, operating under a hybrid working model. The selected candidate will join a high-performing Data &amp; AI team and will play a pivotal role in designing, developing, and deploying cutting-edge AI solutions, contributing to transformative initiatives that enhance business performance, unlock new value streams, and drive innovation across diverse industries.Key activities and responsibilities of this role include:&nbsp;<ul><li>Leading the end-to-end architecture and delivery of scalable, enterprise-grade AI solutions, aligning technical design with business strategy, governance, and long-term innovation objectives, while advising clients on AI strategy, modernization roadmaps, and responsible AI adoption</li><li>Architecting and implementing end-to-end Generative and Agentic AI solutions; including agent orchestration, model selection, system integration, and agentic workflows (multi-agent systems, MCP integrations, A2A protocols) from discovery and design through deployment and scaling</li><li>Designing cloud-native AI and Machine Learning solutions across AWS, Azure, and GCP, ensuring performance, resilience, continuous improvement, and cost-efficient scalability</li><li>Collaborating with data engineering teams to design data platforms, vector databases, RAG architectures, feature stores, and knowledge retrieval systems</li><li>Driving the implementation of MLOps / LLMOps pipelines, enabling continuous delivery, monitoring, governance, and lifecycle management of AI models</li><li>Overseeing system integrations, including APIs, microservices, enterprise networks, and security frameworks</li><li>Ensuring secure and cost-optimized architectures through API gateway integration, token and context-window budgeting, and resource utilization planning</li><li>Providing architectural leadership in client workshops, technical assessments, and solution reviews</li><li>Any other task that may be required from time to time</li></ul>&nbsp;Professional experience &amp; qualifications of a successful candidate:<ul><li>Bachelor’s degree in Computer Science, Engineering, or a related field; a Master’s degree or PhD will be considered an asset</li><li>Minimum of 5 years of experience in Cloud Architecture, with strong expertise in at least one major cloud provider (AWS, Azure, or GCP) and hybrid enterprise environments, applying secure integration patterns</li><li>Strong software engineering background with hands-on development in Python and/or Java, including API design, microservices, distributed systems, and Kubernetes-based container orchestration</li><li>Solid understanding of network architecture, security models, and enterprise system integrations within cloud-native environments</li><li>Strong experience with modern data platforms (data lakes, lakehouses, distributed storage, real-time pipelines) and Retrieval-Augmented Generation (RAG) architectures, including vector databases, embeddings, and semantic search</li><li>Proven track record in designing and delivering Generative and Agentic AI solutions, including LLM orchestration frameworks (e.g., LangGraph, CrewAI, AutoGen, Vertex AI), multi-agent workflows, and advanced prompt engineering and model optimization techniques</li><li>Experience establishing and guiding MLOps / LLMOps practices, enabling model deployment, monitoring, versioning, governance, and lifecycle management using cloud-native or open-source tooling, alongside DevOps and CI/CD best practices</li><li>Exposure to AI governance, responsible AI principles, model risk management, and compliance frameworks</li><li>Cloud certifications (AWS, Azure, GCP) are considered an asset; prior consulting or client-facing experience is highly desirable</li><li>Fluency in Greek with professional-level English communication skills</li></ul>&nbsp;Core competencies of a successful candidate:<ul><li>Hands-on engineering mindset with rapid prototyping capabilities and iterative solution development</li><li>Comfortable working within a global, highly collaborative team environment</li><li>Architectural thinking with the ability to design complex, distributed AI systems</li><li>Proactive, dependable, and results-driven professional mindset</li></ul>

AI Technical Architect

As a Product Management Consultant, you will contribute to the delivery of large-scale digital transformation and product innovation programs, helping clients shape and execute modern, scalable product and platform strategies. You will play a key role in bridging business objectives with technology execution, ensuring that digital solutions are aligned with user needs, enterprise priorities, and long-term strategic goals.Operating in complex, cross-functional environments, you will collaborate closely with business stakeholders, designers, engineers, and QA teams to support the successful delivery of high-quality digital products. Your work spans across product strategy, delivery alignment, and stakeholder engagement within Agile / SAFe delivery models.A key part of your contribution lies in shaping how organizations adopt and leverage modern technologies such as cloud platforms, APIs, DevOps practices, and data-driven architectures to enable digital transformation at scale. In parallel, you support delivery governance, structured documentation, and client-facing communication to ensure clarity, alignment, and consistent execution across programs.Responsibilities<ul><li>Own workstreams or modules within large transformation or digital delivery programs</li><li>Act as a bridge between business stakeholders and technical teams, ensuring alignment across vision, scope, and execution</li><li>Lead product roadmap definition, release planning, and delivery governance</li><li>Mentor analysts and junior team members on delivery, analysis, and stakeholder management</li><li>Contribute to client discussions, steering committee updates, and executive reporting</li><li>Support pre-sales, proposals, solution shaping, and consulting thought leadership</li></ul>QualificationSkills &amp; Experience<ul><li>4–8 years of experience across product management, project management, and/or business analysis</li><li>Strong hands-on experience with Agile Scrum and SAFe frameworks</li><li>Proven expertise in requirement management, backlog grooming, defect tracking, and release management</li><li>Solid technical understanding of:<ul><li>Cloud platforms (AWS / Azure / GCP – conceptual to hands-on)</li><li>DevOps and CI/CD concepts</li><li>APIs, integrations, and microservices (functional understanding)</li><li>Databases and data flows (DBMS concepts)</li></ul></li><li>Experience in using project and product management tools (e.g., Jira, Aha, MS Project)</li><li>Proficiency with documentation and collaboration tools (Confluence)</li><li>Experience working with UX/UI tools (Figma, Balsamiq, or equivalent)</li><li>Strong client-facing communication, problem-solving, and decision-making skills</li></ul>WHAT´S IN IT FOR YOU?<ul><li>Competitive benefits, including a fair and balanced parental leave policy.</li><li>At Accenture, we believe in bringing the best to our clients through continuous learning &amp; improvement – from basic skills to industry-specific content – available to all our people.</li><li>Career coaching and mentorship to help you manage your career and develop professionally.</li><li>Performance Achievement – our performance management process that focuses on your strengths, progress, and career possibilities.</li><li>Fantastic opportunities to develop your career across a variety of clients.</li><li>Opportunities to get involved in corporate citizenship initiatives, from volunteering to doing charity work.</li><li>Additional benefits may apply in case of relocation back to Greece.</li></ul>

Product Management Consultant

As a Network Engineer, you will be placed in the Network Services team of the IT Infrastructure &amp; Operations Division of Alpha Bank, being responsible for the maintenance and support of the network systems and infrastructure. He/She will monitor the performance and availability of the network and will perform capacity planning, while analyzing network trendsThe job holder should be self-motivated, with strong problem-solving, analytical and communication skills. He/She should possess the ability to prioritize, meet deadlines, perform under pressure and work both independently and in a team environment.What you will be doing&nbsp;<ul><li>Configure and manage network equipment.</li><li>Configure and manage network surveillance applications.</li><li>Performe network supervision.</li><li>Draft technical specifications (in collaboration with business representatives, IT application administrators and Project Managers).</li><li>Evaluate vendor solutions.</li><li>Performe maintenance on the systems’ hardware and software as well as on the related infrastructure.</li></ul>&nbsp; What you need to have&nbsp;<ul><li>A Bachelor’s degree in Computer Science, Computer Networking, Engineering, Mathematics or in any other related discipline.</li><li>Excellent knowledge of network communication protocols (IP, TCP, UDP, IPsec).</li><li>Knowledge of routing and switching network protocols (BGP, OSPF, STP, etc.).</li><li>Knowledge of network security processes.</li><li>Knowledge of Wi-Fi networks.</li><li>Up to three (3) years of working experience in the implementation and management of data-voice networks.</li><li>A certification in the corresponding technologies and especially in CISCO equipment (CCNA, CCNP)will be considered an asset.</li><li>Experience with and knowledge of implementations in IP telephony is desirable.</li><li>Experience with Network Load Balancing and Higher-Level Protocols (http, https, etc.) is desirable.</li><li>Experience with the operation of Network Management Systems is desirable.</li><li>Experience with Data Center Networking will be considered an asset.</li><li>Experience in managing video conferencing infrastructure is desirable.</li></ul>What we offer&nbsp;It’s all about our people. At Alpha Bank, you will enjoy:&nbsp;<ul><li>A friendly and collaborative working environment that supports taking initiative and action.</li><li>A culture that centers around learning and continuous development and encourages everyone to bring their best self to work.</li><li>The opportunity to challenge your thinking through your participation in complex tasks and transformation projects.</li><li>Being part of a large organization with a leading role in the Greek economy and a strong presence in the community.</li><li>Flexible working options.</li><li>A competitive salary and benefits.</li></ul>

Network Engineer

We are looking for a motivated&nbsp;Technical Support&nbsp;Consultant&nbsp;&nbsp;to join our dynamic and high-caliber team.Your Role<ul><li>Support the analysis, setup, and basic configuration of Electronic Data Interchange&nbsp;solutions</li><li>Provide 1st and 2nd level technical support to clients</li><li>Monitor&nbsp;processes and identify issues in data exchange flows</li><li>Handle client requests and incidents via phone, email, and remote access, acting as the first point of contact</li><li>Manage and track client cases through the CRM system, ensuring timely updates and proper status reporting</li><li>Troubleshoot basic technical issues and escalate more complex cases when needed</li><li>Participate in testing, validation, and migration processes of EDI messages and integrations</li><li>Perform basic technical implementations (e.g. agent installation) and collaborate with internal teams</li></ul>Your Qualifications &amp; Skills<ul><li>Degree from a University/Technological Educational Institute (AEI/TEI/IEK) in Computer Science or a related field.</li><li>Minimum 1 year of previous experience in a similar position</li><li>Basic understanding of IT systems or business applications</li><li>Basic knowledge of SQL (e.g. simple queries, data retrieval, basic troubleshooting)</li><li>Familiarity with data exchange technologies&nbsp;</li><li>Good communication skills and customer-oriented mindset</li><li>Problem-solving attitude and attention to detail</li><li>Basic knowledge of English</li></ul>Your Benefits:We are growing our team with the vision of having top performers who contribute directly to the growth of the company. As a result, we offer:💰Competitive remuneration package❤️Private health insurance plan🏠Hybrid working model💯Opportunity to work alongside people who are always eager to mentor📖Funded training &amp; development opportunities🥪Catering food services&nbsp;

Technical Support Consultant 

Αν μπορούσαμε να το συνοψίσουμε σε μια φράση, θα λέγαμε ότι βοηθάς την ομάδα να παίρνει καλύτερες αποφάσεις και έχεις πάντα τα στατιστικά στοιχεία για να τις στηρίξεις. Με εργαλεία όπως data-driven μοντέλα, Machine Learning εφαρμογές και διεθνή συνεργασία, αναλύεις και βελτιώνεις διαδικασίες, δίνοντας νέα προοπτική στη στρατηγική μας! &nbsp; Μια μέρα στη δουλειά &nbsp; Εδώ ξεπερνάμε τον εαυτό μας κάθε μέρα. Και αυτό ξεκινάει από τα πιο μικρά και καθημερινά μας καθήκοντα. Φαντάσου μια μέρα σου στη δουλειά: &nbsp; ● Ανήκεις στην ομάδα Data &amp; AI, του τομέα Controlling, ομάδα που στέκεται δίπλα σε όλα τα τμήματα και το Top Management της Lidl Ελλάς. ● Αναγνωρίζεις Use Cases, &nbsp;στα οποία προσφέρεις πραγματική προστιθέμενη αξία, και αναπτύσσεις καινοτόμες λύσεις για επιχειρηματικές προκλήσεις με τη χρήση Advanced Analytics, σύγχρονων αλγορίθμων και Τεχνητής Νοημοσύνης (ΑΙ)! ● Είσαι σε θέση να κατανοείς επιχειρηματικά ζητήματα και να τα μεταφράζεις σε τεχνική γλώσσα, ενώ ταυτόχρονα μπορείς να εξηγείς κατανοητά σύνθετα θέματα σε ένα μη-τεχνικό κοινό. ● Διασφαλίζεις την εφαρμογή κατάλληλων μεθόδων επεξεργασίας δεδομένων μέσω Τεχνητής Νοημοσύνης (ΑΙ). ● Εφαρμόζεις εργαλεία όπως Machine Learning για να αναπτύξεις εξειδικευμένες στατιστικές ή/και οικονομικές αναλύσεις και συντονίζεις πιλοτικά projects για να αποδείξεις το πρακτικό και οικονομικό όφελος των λύσεων σου. ● Είσαι μέλος μιας παγκόσμιας κοινότητας Analytics, ανταλλάσσοντας ιδέες και λύσεις με συναδέλφους από όλο τον κόσμο. ● Αξιοποιείς την εμπειρία σου σε Python, SQL, Dashboards και Big Data, συμβάλλοντας ενεργά με τις ιδέες σου στη διερεύνηση και επίλυση σύνθετων επιχειρηματικών ερωτημάτων μέσω Analytics.<h2></h2>Είσαι αυτό που αναζητάμε;Ας δούμε τα βασικά: &nbsp; ● Έχεις ανώτατες σπουδές σε Μαθηματικά / Στατιστική, Εφαρμοσμένη Πληροφορική, &nbsp;Φυσική, Οικονομικές Επιστήμες, Διοίκηση επιχειρήσεων ή σχετικό Πτυχίο Θετικών Επιστημών. ● Έχεις τουλάχιστον 2 έτη επαγγελματικής εμπειρίας και συμμετοχή σε έργα Analytics (ΑΙ ή BI ή σχετικό αντικείμενο) ή σε τμήμα Controlling. ● Έχεις γνώσεις στην επεξεργασία και ανάλυση δεδομένων, με χρήση στατιστικών μεθόδων ή μοντέλων Μηχανικής Μάθησης. Δουλεύεις σε Python, αν τώρα έχεις και γνώσεις SQL, εμπειρία με Cloud Platforms (π.χ. Azure) και δημιουργία Dashboards τότε μιλάμε για άλλο level! ● Μιλάς άπταιστα Αγγλικά. Αν μιλάς και καλά Γερμανικά, ακόμα καλύτερα! &nbsp; Πάνω απ’ όλα, έχεις το ταλέντο να μεταφράζεις επιχειρηματικές ανάγκες σε τεχνικές λύσεις. Μπορείς να διαχειρίζεσαι αποτελεσματικά πολλαπλά tasks και απαιτητικά deadlines, ενώ παραμένεις προσηλωμένος/η στον στόχο. Σου αρέσει να δουλεύεις hands-on σε projects, να υποστηρίζεις καινοτόμες επιχειρηματικές εφαρμογές και εργαλεία ανάλυσης δεδομένων. Με την αναλυτική σου σκέψη, συνεισφέρεις στη δημιουργία αξίας για την εταιρία και τους συναδέλφους σου. &nbsp;<h2></h2>Τι σου προσφέρουμε εμείςΞέρουμε πόσο σημαντικό είναι να φροντίζουμε την ομάδα. Είμαστε και φέτος Κορυφαίος Εργοδότης στην Ελλάδα (Top Employer). Γιατί δε σταματάμε ποτέ να προσπαθούμε. Μαζί μας, θα βρεις όλα τα παρακάτω:● Αρχικός μηνιαίος μικτός μισθός στα 2.165€. Το πλάνο μας όμως είναι σχεδιασμένο έως και 4 χρόνια μετά, που θα φτάσεις τα 3.000€ μικτά. ● Πρόγραμμα εκπαίδευσης 1 μήνας: πριν μπεις στα βαθιά, φροντίζουμε να μάθεις όσα χρειάζεσαι για να ξεκινήσεις δουλειά την επόμενη μέρα! Φυσικά και παίρνεις το μισθό σου από την πρώτη μέρα. ● Μια δεμένη ομάδα: αυτό που μας ξεχωρίζει είναι η κουλτούρα της ομάδας μας, οι ευκαιρίες που βρίσκουμε για να κάνουμε πράγματα μαζί. Μαθαίνουμε online, μοιραζόμαστε δώρα, γιορτάζουμε, βραβεύουμε τα αγαπημένα μας καταστήματα, φροντίζουμε ο ένας τον άλλον. ● Ιδιωτική ιατρική ασφάλιση. Η υγεία σου είναι πάντα η πρώτη μας προτεραιότητα. Γι’ αυτό όλη η ομάδα μας αποκτά ιδιωτική ιατρική ασφάλιση. ● Πολιτική τηλεργασίας: Φέρνουμε ένα υβριδικό μοντέλο εργασίας που συνδυάζει τηλεργασία και φυσική παρουσία στο γραφείο. ● Κουπόνια τροφίμων για τις αγορές σου από τα καταστήματά μας. &nbsp; Έλα στο #teamLidl! Είσαι το επόμενο κεφάλαιο του success story μας; Κάνε την αίτησή σου τώρα και γίνε μέρος του #teamLidl, της πιο δυναμικής ομάδας στο #retail.

Data & AI Solutions Consultant στη Σίνδο Θεσσαλονίκης

Powering global sports betting platforms where performance and real-time data matter.Ready to make an impact?What You’ll DoAs a DevOps Engineer, you’ll play a vital role in enhancing operations and contributing to the delivery of high-quality software. Your contributions will make a difference as you:🚀 Support Scalable Systems – Contribute to the design and maintenance of secure, robust, and high-performance infrastructure for our global gaming platforms.⚙️ Drive Automation – Help implement and refine CI/CD pipelines using tools like Jenkins, GitHub Actions, or CircleCI.🌐 Manage the Cloud – Assist in maintaining cloud environments (AWS or Azure) to ensure efficiency and scalability.📦 Leverage Containers – Optimize and manage containerized applications using Docker and Kubernetes.📜 Support Infrastructure as Code (IaC) – Collaborate on infrastructure provisioning and configuration with tools like Terraform and Ansible.🔍 Monitor Effectively – Develop and maintain monitoring, logging, and alerting systems with Prometheus, Grafana, and ELK.🔗 Work with Data Streams – Help optimize real-time data flows and messaging systems with Kafka.🤝 Collaborate Across Teams – Work closely with software teams to promote a DevOps-first culture.Job requirementsWhat You’ll BringWe’re looking for an enthusiastic and driven individual with:🌟 Experience: 3+ years in a DevOps or related role.🐧 Linux Expertise: Excellent knowledge and hands-on experience with Linux systems.☁️ Cloud Knowledge: Hands-on experience with AWS or Azure.💻 Scripting Skills: Proficiency in scripting/programming languages like Python, Bash, or Go.🐳 Containerization: Familiarity with Docker and Kubernetes.⚡ IaC Basics: Experience with tools like Terraform and Ansible.🔄 CI/CD Enthusiasm: Exposure to CI/CD tools such as Jenkins, GitHub Actions, or Bamboo.🛠️ Monitoring Skills: Experience with monitoring and logging tools like Prometheus and Grafana.🌐 Communication: Strong collaboration and communication skills in both Greek and English.

DevOps Engineer (Sports Betting)

Network&nbsp;&amp;&nbsp;Security&nbsp;Engineer&nbsp;is&nbsp;responsible&nbsp;for&nbsp;designing,&nbsp;implementing,&nbsp;and&nbsp;maintaining&nbsp;the&nbsp;organization’s&nbsp;network&nbsp;infrastructure&nbsp;and&nbsp;security&nbsp;systems.&nbsp;The&nbsp;role&nbsp;ensures&nbsp;the&nbsp;protection&nbsp;of&nbsp;corporate&nbsp;data&nbsp;through&nbsp;robust&nbsp;security&nbsp;policies,&nbsp;firewall&nbsp;management,&nbsp;and&nbsp;continuous&nbsp;monitoring&nbsp;of&nbsp;network&nbsp;environments.&nbsp;It&nbsp;also&nbsp;includes&nbsp;developing&nbsp;and&nbsp;applying&nbsp;Backup&nbsp;and&nbsp;Disaster&nbsp;Recovery&nbsp;strategies,&nbsp;as&nbsp;well&nbsp;as&nbsp;documenting&nbsp;technical&nbsp;procedures,&nbsp;configurations,&nbsp;and&nbsp;IT&nbsp;policies.&nbsp;Main&nbsp;Responsibilities<ul><li>Configuration,&nbsp;installation,&nbsp;and&nbsp;maintenance&nbsp;of&nbsp;neatwork&nbsp;systems&nbsp;and&nbsp;firewalls</li><li>Perform&nbsp;continuous&nbsp;monitoring,&nbsp;analysis,&nbsp;and&nbsp;response&nbsp;to&nbsp;network&nbsp;security&nbsp;alerts&nbsp;to&nbsp;ensure&nbsp;proactive&nbsp;threat&nbsp;detection&nbsp;and&nbsp;mitigation.</li><li>Design&nbsp;and&nbsp;implementation&nbsp;of&nbsp;security&nbsp;policies&nbsp;with&nbsp;focus&nbsp;on&nbsp;data&nbsp;protection</li><li>Design&nbsp;and&nbsp;implementation&nbsp;of&nbsp;Backup&nbsp;&amp;&nbsp;Disaster&nbsp;Recovery&nbsp;policies</li><li>Documentation&nbsp;of&nbsp;processes&nbsp;and&nbsp;technical&nbsp;projects</li><li>Participate&nbsp;in&nbsp;infrastructure&nbsp;upgrade&nbsp;and&nbsp;optimization&nbsp;projects.</li><li>Collaborate&nbsp;with&nbsp;external&nbsp;vendors&nbsp;and&nbsp;service&nbsp;providers.</li></ul>&nbsp;Key&nbsp;Requirements<ul><li>Bachelor’s&nbsp;degree&nbsp;in&nbsp;Computer&nbsp;Science,&nbsp;Informatics,&nbsp;or&nbsp;related&nbsp;field</li><li>Master's&nbsp;degree&nbsp;will&nbsp;be&nbsp;considered&nbsp;as&nbsp;a&nbsp;plus</li><li>Excellent&nbsp;command&nbsp;of&nbsp;the&nbsp;English&nbsp;language&nbsp;(C2&nbsp;level)</li><li>Fulfilled&nbsp;military&nbsp;obligations&nbsp;(for&nbsp;male&nbsp;candidates)</li><li>Strong&nbsp;organizational,&nbsp;analytical,&nbsp;and&nbsp;problem‑solving&nbsp;skills</li></ul>&nbsp;Desirable&nbsp;Skills<ul><li>Knowledge&nbsp;of&nbsp;LAN/WAN&nbsp;technologies</li><li>Knowledge&nbsp;of&nbsp;network&nbsp;security&nbsp;issues&nbsp;and&nbsp;security&nbsp;systems;&nbsp;desirable&nbsp;certifications&nbsp;CEH,&nbsp;CISSP</li><li>Microsoft&nbsp;Azure&nbsp;(VMs,&nbsp;resource&nbsp;management,&nbsp;networking,&nbsp;monitoring)</li><li>Microsoft&nbsp;365&nbsp;administration&nbsp;(Exchange&nbsp;Online,&nbsp;Teams,&nbsp;Intune&nbsp;–&nbsp;desirable).</li><li>Experience&nbsp;in&nbsp;security,&nbsp;policies,&nbsp;procedures,&nbsp;and&nbsp;documentation&nbsp;in&nbsp;pharmaceutical&nbsp;environments&nbsp;(ITIL,&nbsp;ISO&nbsp;20000,&nbsp;COBIT,&nbsp;GAMP5,&nbsp;GxP,&nbsp;CSV)</li><li>Knowledge&nbsp;of&nbsp;Windows&nbsp;Server/Desktop&nbsp;OS</li><li>Knowledge&nbsp;of&nbsp;virtualization&nbsp;technologies&nbsp;(VMware,&nbsp;Hyper-V)</li></ul>

NETWORK SECURITY ENGINEER

Participates in digital transformation initiatives within manufacturing operations. Focuses on automation, system integration, and Industry 4.0 solutions, bridging IT and operational technology (OT) environments. The position requires a strong technical background, particularly in software development, to effectively manage complex manufacturing-related IT projects.Responsibilities:<ul><li>Designing, developing, and testing automation solutions within machinery and industrial environments</li><li>Identifying opportunities for process optimization through digital technologies</li><li>Supporting and contributing to Industry 4.0 initiatives, including smart factory concepts and data-driven manufacturing</li><li>Eliminating defects and errors within product and software development</li><li>Participating in and complying with quality and IT standards, cybersecurity requirements, and industrial best practices</li><li>Implementation and maintenance of custom software solutions, including machine-to-machine (M2M) integration</li><li>Collaborating with cross-functional teams to implement Manufacturing Execution Systems (MES)</li></ul>Qualifications:<ul><li>Bachelor’s degree in electrical engineering, software engineering, or a similar field</li><li>Advanced English skills (verbal and written communication)</li><li>Proficiency in maintaining automation systems and industrial IT/OT integrations</li><li>Understanding of robotics (ROS), AI, and machine learning</li><li>Advanced troubleshooting, multitasking, and analytical skills</li><li>Proficiency in a compiled programming language such as Python, C#, VBA, Java, or other selected languages</li><li>Familiarity with IoT, OPC UA, MQTT, or similar industrial communication protocols</li><li>Exposure to lean manufacturing or continuous improvement initiatives</li><li>Strong willingness to adapt and overcome challenging situations, and ability to keep up with the latest technologies</li></ul>

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