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We are seeking a&nbsp;Lead Data Integration Engineer&nbsp;to join the innovative Data Practice team and make an impact on EPAM's strategic initiatives.In this role, you will focus on creating robust data systems and applications to support effective decision-making. Key priorities include developing and maintaining data pipelines, data-driven solutions in public clouds like AWS or Azure, and facilitating seamless data migration from on-premises infrastructure to the cloud. You will also work on building key components for enterprise data platforms.The remote option applies only to the Candidates who will be working from any location in Greece. #LI-DNI#LI-YAROSLAVADIAKOVAResponsibilities<ul><li>Drive EPAM strategic data initiatives</li><li>Design and manage enterprise data solutions within Public Cloud environments (AWS, Azure)</li><li>Build components for enterprise data platforms to ensure efficient data workflows</li><li>Collaborate with data scientists, architects, and other stakeholders to address data requirements</li><li>Implement structured, secure, and auditable processes to safeguard data integrity</li><li>Identify and resolve data-related issues while enhancing overall system quality</li></ul>Requirements<ul><li>5+ years of experience as a Data Engineer or in a similar role</li><li>Proficiency in SQL and Python</li><li>At least one year of relevant leadership experience</li><li>Background in Public Cloud platforms (AWS, Azure), DBMS, and ETL/ELT tools</li><li>Hands-on experience with Databricks</li><li>Skills in data acquisition, including API calls, FTP downloads, ETL, transformation, storage, and distribution</li><li>Background in building components for enterprise data platforms, such as Data Warehouses, Operational Data Stores, API access layers, file extracts, or query systems</li><li>A bachelor’s degree in computer science, IT, or a related discipline</li><li>Competency in effective communication</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 Integration Engineer

We are seeking a highly skilled Senior AI Engineer to join our team.In this role, you will contribute to the development of advanced AI solutions for a variety of business domains. You will collaborate with cross-functional teams and clients to deliver impactful, scalable, and innovative AI-driven products. #LI-YAROSLAVADIAKOVAResponsibilities<ul><li>Design, implement, and maintain end-to-end AI applications, including chatbots, Q&amp;A platforms, and agent workflows</li><li>Work directly with clients to understand requirements, identify opportunities, and recommend LLM-driven solutions</li><li>Develop and manage robust data pipelines, prompt strategies, and datasets to support effective and accurate AI models</li><li>Evaluate and refine AI system performance to ensure outputs are accurate, secure, scalable, and compliant with industry regulations</li><li>Conduct research and rapid prototyping to validate technical feasibility and demonstrate business value of AI solutions</li><li>Stay up to date with evolving LLM technologies, frameworks, and methodologies to continuously improve solutions and client outcomes</li></ul>Requirements<ul><li>At least 3 years of experience in AI engineering or a related field</li><li>Strong proficiency in Python and experience with web frameworks such as FastAPI or similar</li><li>Understanding of the AI application development lifecycle, from design to deployment</li><li>Experience with rapid UI prototyping using tools like Streamlit, Gradio, or similar frameworks</li><li>Familiarity with major LLM platforms and APIs, including OpenAI, Anthropic, Amazon Bedrock, Gemini, and related frameworks such as LangGraph, LlamaIndex, and Strands Agents</li><li>Knowledge of advanced AI integration patterns, including Retrieval-Augmented Generation (RAG) and agent-based architectures</li><li>Experience deploying AI solutions at scale, with a focus on performance, cost-efficiency, and maintainability</li><li>Ability to evaluate generative AI quality using metrics such as retrieval and classification scores, as well as LLM-based evaluation methods</li><li>Proven track record in delivering ML-based solutions and AI engineering projects</li><li>Strong problem-solving skills and attention to detail</li><li>Excellent communication, collaboration, and interpersonal skills</li><li>Fluent English skills (written and spoken) at a B2+ level or higher</li></ul>Nice to have<ul><li>Experience designing experiments, conducting A/B tests, and iterating on models based on user feedback</li><li>Understanding of retrieval systems, including keyword search, vector search, embeddings, and ranking algorithms</li><li>Familiarity with emerging protocols such as MCP, A2A, ACP, and others</li><li>Experience deploying to cloud AI platforms like Azure OpenAI, Amazon Bedrock, GCP Vertex AI, or on-premise solutions such as vLLM</li><li>Experience with enterprise AI platforms, including AWS AgentCore, Databricks AgentBricks, Google Agents Space, or Azure AI Foundry</li><li>Experience with observability and monitoring tools and frameworks for AI systems</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>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>

Senior AI Engineer

Responsibilities<ul><li>Technical Solution Leadership: Serve as a subject matter expert on our world-class Digital Employee Experience (DEX) and best-in-class Remote Control (Tensor) platforms, translating complex enterprise requirements into practical and scalable architectural designs that accelerate a customer's time to value.</li><li>Customer Lifecycle Engagement: Lead technical discovery and design workshops with enterprise customers, identifying their unique business needs, technical challenges, and strategic objectives. Partner with internal teams to guide the customer through the implementation and adoption journey.</li><li>Solution Design &amp; Implementation: Architect and document custom solutions and integrations that meet customer requirements. Drive the technical implementation process, ensuring successful delivery and configuration of the platform within complex enterprise IT and OT environments.</li><li>Strategic Collaboration: Act as a key technical advisor to both customers and internal teams. Collaborate with Product Management, Engineering, and Customer Success to ensure solution designs are feasible and align with long-term product strategy and customer success goals.</li><li>Market &amp; Product Intelligence: Maintain deep knowledge of industry trends, competitor offerings, and emerging technologies in the IT/OT space. Use this expertise to provide thought leadership and influence both our internal product roadmap and external customer engagements.&nbsp;</li></ul>Requirements<ul><li>Professional Experience: Proven track record (3+ years) in a customer-facing technical role such as a Professional Services Architect, Solutions Architect, Senior Solutions Engineer, or a senior-level Technical Support Engineer, specifically serving large enterprise accounts.</li><li>Architectural Expertise: Hands-on experience designing and implementing complex enterprise software solutions, with a strong background in areas like cloud technologies, industrial IoT, data analytics, or IT/OT integration.</li><li>Enterprise Acumen: In-depth understanding of enterprise IT and OT architectures, governance models, and common challenges.</li><li>Communication &amp; Influence: Exceptional verbal and written communication skills, with the ability to clearly articulate complex technical concepts and value propositions to both technical and executive-level audiences.</li><li>Technical Skills: Demonstrated proficiency with technologies and tools such as RESTful APIs, SQL, and scripting languages (e.g., PowerShell). Experience with proof-of-concept (PoC) engagements and architectural documentation is essential.</li><li>Problem-Solving &amp; Collaboration: A strategic, creative problem-solver with a strong collaborative mindset and a customer-focused approach.</li><li>Preferred Qualification:&nbsp;Experience configuring&nbsp;ServiceNow&nbsp;features and functionality and/or configuring third-party integrations with&nbsp;ServiceNow.</li><li>Language: Fluency in English and French is required; additional language skills are a plus.</li><li>Up to 25% travel requirement (domestic &amp; international).</li></ul>What we offer<ul><li>Onsite Onboarding&nbsp;in our HQ office for an optimal start</li><li>Great compensation and benefits packages&nbsp;including company achievement bonus and company stocks, regular salary reviews</li><li>Public transport friendly&nbsp;offices</li><li>Special terms&nbsp;for local gyms</li><li>Access to&nbsp;Corporate&nbsp;Benefits&nbsp;platform&nbsp;with many&nbsp;discounts</li><li>Regular&nbsp;Team events&nbsp;and company-wide celebrations</li><li>Open door policy, no dress code rules, frequent all Hands and Leadership Lunches</li><li>Hybrid&nbsp;and&nbsp;Flexible&nbsp;work time with up to 60% home office</li><li>Work From Abroad Program&nbsp;allowing up to 40 days of work outside your contracting country</li><li>We celebrate&nbsp;diversity&nbsp;as one of core values, join and drive one of the c-a-r-e initiatives together with us!</li></ul>

Implementation Engineer (all genders)

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.

Senior Data Software Engineer

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)

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

Θέσεις Εργασίας E-commerce Manager Ελλάδα, Πληροφορική - Σελίδα 2

lead data integration engineer

EPAM Global

senior ai engineer

EPAM Global

implementation engineer (all genders)

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senior data software engineer

EPAM Global

lead data software engineer (databricks)

EPAM Global

senior palantir data engineer

EPAM Global

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