LastWeek

LastThreeDays

Today

Aoristou

Internship

FullTime

Hybrid

OnSite

Remote

Our Client is expanding its AI &amp; Data division and is looking for an experienced Machine Learning Engineer to design, develop, and deploy advanced ML solutions that power automation and digital transformation initiatives.This role combines hands-on engineering with technical leadership, focusing on creating scalable, production-ready ML systems that support real-world business processes.Key Responsibilities<ul><li>Design, develop, and integrate machine learning models into production environments.</li><li>Build and maintain data pipelines and model training workflows to ensure reliable and automated processes.</li><li>Develop and enhance the company’s MLOps infrastructure for model lifecycle management, automation, and monitoring.</li><li>Write production-grade Python code and build APIs or services that expose ML models to business applications.</li><li>Continuously monitor, evaluate, and retrain models to maintain accuracy and performance.</li><li>Collaborate with data engineers, annotation teams, software developers, and product managers to align solutions with business objectives.</li><li>Participate in code reviews, documentation, and the definition of engineering best practices.</li></ul>Requirements<ul><li>Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, or a related discipline.</li><li>3&nbsp; years of hands-on experience developing and deploying machine learning models.</li><li>Proven people management or team leadership experience.</li><li>Strong proficiency in Python and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).</li><li>Solid understanding of MLOps tools and practices (e.g., MLflow, Kubeflow, Airflow).</li><li>Working knowledge of cloud platforms such as AWS, GCP, or Azure.</li><li>Excellent analytical thinking, problem-solving, and communication skills.</li><li>Fluent in English, both written and spoken.</li></ul>Nice to Have<ul><li>Experience with document understanding, OCR, or NLP models.</li><li>Familiarity with containerization (Docker, Kubernetes) and CI/CD for ML pipelines.</li><li>Exposure to data governance, model monitoring, or AI observability tools.</li></ul>Why Join Them<ul><li>You’ll be part of a growing AI team within a well-established organization that is transforming its services through technology.</li><li>You’ll work on end-to-end ML systems, from data ingestion to deployment, with real business impact across automation and document intelligence domains.</li><li>If you’re passionate about building scalable ML products and want to see your models running in production, this is the right environment for you.</li></ul>

Mid ML Engineer

Our Client is expanding its AI &amp; Data division and is looking for an experienced Machine Learning Engineer&nbsp;to design, develop, and deploy advanced ML solutions that power automation and digital transformation initiatives. This role combines&nbsp;hands-on engineering&nbsp;with&nbsp;technical leadership, focusing on creating scalable, production-ready ML systems that support real-world business processes.Key Responsibilities<ul><li>Design, develop, and integrate&nbsp;machine learning models&nbsp;into production environments.</li><li>Build and maintain&nbsp;data pipelines&nbsp;and&nbsp;model training workflows&nbsp;to ensure reliable and automated processes.</li><li>Develop and enhance the company’s&nbsp;MLOps infrastructure&nbsp;for model lifecycle management, automation, and monitoring.</li><li>Write&nbsp;production-grade Python code&nbsp;and build APIs or services that expose ML models to business applications.</li><li>Continuously monitor, evaluate, and retrain models to maintain accuracy and performance.</li><li>Collaborate with&nbsp;data engineers, annotation teams, software developers, and product managers&nbsp;to align solutions with business objectives.</li><li>Participate in&nbsp;code reviews, documentation, and the definition of engineering best practices.</li></ul>Requirements<ul><li>Bachelor’s or Master’s degree in&nbsp;Computer Science, Mathematics, Statistics, or a related discipline.</li><li>4 + years&nbsp;of hands-on experience developing and deploying machine learning models.</li><li>Proven&nbsp;people management or team leadership experience.</li><li>Strong proficiency in&nbsp;Python&nbsp;and ML libraries (e.g.,&nbsp;scikit-learn, TensorFlow, PyTorch).</li><li>Solid understanding of&nbsp;MLOps tools and practices&nbsp;(e.g.,&nbsp;MLflow, Kubeflow, Airflow).</li><li>Working knowledge of&nbsp;cloud platforms&nbsp;such as AWS, GCP, or Azure.</li><li>Excellent&nbsp;analytical thinking,&nbsp;problem-solving, and&nbsp;communication skills.</li><li>Fluent in&nbsp;English, both written and spoken.</li></ul>Nice to Have<ul><li>Experience with&nbsp;document understanding,&nbsp;OCR, or&nbsp;NLP&nbsp;models.</li><li>Familiarity with&nbsp;containerization&nbsp;(Docker, Kubernetes) and CI/CD for ML pipelines.</li><li>Exposure to&nbsp;data governance,&nbsp;model monitoring, or&nbsp;AI observability&nbsp;tools.</li></ul>Why Join Them<ul><li>You’ll be part of a growing AI team within a well-established organization that is transforming its services through technology.</li><li>You’ll work on end-to-end ML systems, from data ingestion to deployment, with real business impact across automation and document intelligence domains.</li><li>If you’re passionate about building scalable ML products and want to see your models running in production, this is the right environment for you.</li></ul>&nbsp;

Senior ML Engineer

As&nbsp;an&nbsp;IT&nbsp;Systems&nbsp;Engineer&nbsp;at&nbsp;Space&nbsp;Hellas,&nbsp;you&nbsp;will&nbsp;play&nbsp;a&nbsp;key&nbsp;role&nbsp;in&nbsp;designing,&nbsp;implementing,&nbsp;and&nbsp;maintaining&nbsp;IT&nbsp;infrastructure&nbsp;solutions.&nbsp;You&nbsp;will&nbsp;work&nbsp;on&nbsp;a&nbsp;variety&nbsp;of&nbsp;data&nbsp;center&nbsp;infrastructure&nbsp;projects&nbsp;including&nbsp;multiple&nbsp;aspects&nbsp;of&nbsp;virtualization&nbsp;technology&nbsp;(on-premise&nbsp;and&nbsp;hybrid&nbsp;cloud),&nbsp;compute&nbsp;and&nbsp;storage/backup&nbsp;systems&nbsp;as&nbsp;well&nbsp;as&nbsp;systems&nbsp;management&nbsp;and&nbsp;orchestration&nbsp;solutions.&nbsp;Role&nbsp;key&nbsp;responsibilities&nbsp;are:&nbsp;<ul><li>Deploy&nbsp;and&nbsp;manage&nbsp;Linux&nbsp;and&nbsp;Windows&nbsp;customers’&nbsp;infrastructures</li><li>Manage&nbsp;customers’&nbsp;infrastructure&nbsp;including&nbsp;storage&nbsp;(SAN,&nbsp;NAS,&nbsp;and&nbsp;cloud-based),&nbsp;servers,&nbsp;and&nbsp;virtual&nbsp;platforms</li><li>Manage&nbsp;and&nbsp;troubleshoot&nbsp;Linux&nbsp;services&nbsp;and&nbsp;microservices&nbsp;e.g.&nbsp;docker,&nbsp;apache,&nbsp;nginx,&nbsp;KVM</li><li>Deploy,&nbsp;configure&nbsp;and&nbsp;support&nbsp;VMware&nbsp;virtual&nbsp;infrastructure</li><li>Perform&nbsp;infrastructure&nbsp;migration&nbsp;to&nbsp;Azure</li><li>Support&nbsp;hybrid&nbsp;cloud&nbsp;configurations,&nbsp;integrating&nbsp;cloud&nbsp;services&nbsp;with&nbsp;existing&nbsp;infrastructure</li><li>Manage&nbsp;Active&nbsp;Directory&nbsp;infrastructure&nbsp;across&nbsp;both&nbsp;cloud&nbsp;(Azure)&nbsp;and&nbsp;on-premises&nbsp;platforms</li><li>Manage&nbsp;Microsoft&nbsp;services&nbsp;e.g.&nbsp;Exchange,&nbsp;SharePoint,&nbsp;Teams,&nbsp;Intune,&nbsp;and&nbsp;Defender.</li><li>Support&nbsp;and&nbsp;troubleshoot&nbsp;database&nbsp;systems&nbsp;such&nbsp;as&nbsp;Microsoft&nbsp;SQL&nbsp;Server</li><li>Solid&nbsp;command&nbsp;of&nbsp;scripting&nbsp;tools&nbsp;to&nbsp;automate&nbsp;deployments&nbsp;and&nbsp;manage&nbsp;infrastructure&nbsp;efficiently</li><li>Demonstrated&nbsp;ability&nbsp;to&nbsp;deliver&nbsp;hybrid&nbsp;IT&nbsp;architectures</li></ul>&nbsp;Required&nbsp;qualifications:<ul><li>Bachelor’s&nbsp;degree&nbsp;in&nbsp;the&nbsp;field&nbsp;of&nbsp;Information&nbsp;Technology</li><li>At&nbsp;least&nbsp;three&nbsp;years&nbsp;of&nbsp;proven&nbsp;experience&nbsp;in&nbsp;technical&nbsp;implementation&nbsp;of&nbsp;complex&nbsp;and&nbsp;high&nbsp;availability&nbsp;systems&nbsp;infrastructure&nbsp;related&nbsp;with&nbsp;IT&nbsp;and&nbsp;data&nbsp;center&nbsp;environments&nbsp;in&nbsp;compute&nbsp;(HP&nbsp;and/or&nbsp;Dell&nbsp;and/or&nbsp;Cisco&nbsp;servers),&nbsp;storage&nbsp;technologies&nbsp;(Fiber&nbsp;ChannelFCoE,&nbsp;iSCSI,&nbsp;NVMEoX,&nbsp;NAS,&nbsp;Object&nbsp;storage),&nbsp;virtualization&nbsp;(MS&nbsp;Hyper-V,&nbsp;VMware&nbsp;ESXi,&nbsp;vSAN,&nbsp;Horizon,&nbsp;vRealize,&nbsp;KVM)</li><li>Excellent&nbsp;knowledge&nbsp;of&nbsp;English&nbsp;(written&nbsp;&amp;&nbsp;spoken)</li><li>Relevant&nbsp;certifications</li></ul>&nbsp;Preferred&nbsp;qualifications:<ul><li>Automation&nbsp;(scripting&nbsp;tools,&nbsp;Python)</li><li>Data&nbsp;Center&nbsp;networking&nbsp;physical&nbsp;and&nbsp;virtual&nbsp;(VXLANs,&nbsp;Vmware&nbsp;NSX/T)</li><li>Container&nbsp;technologies&nbsp;(Docker,&nbsp;Kubernetes,&nbsp;Microservices)</li></ul>&nbsp;You&nbsp;are&nbsp;the&nbsp;right&nbsp;candidate&nbsp;if&nbsp;you&nbsp;possess&nbsp;the&nbsp;following&nbsp;core&nbsp;competencies:<ul><li>Excellent&nbsp;communication&nbsp;skills</li><li>Ability&nbsp;to&nbsp;diagnose,&nbsp;analyze&nbsp;and&nbsp;solve&nbsp;problems</li><li>Decision&nbsp;making&nbsp;skills</li><li>Analytical&nbsp;thinking</li><li>Teamwork</li><li>Consistency&nbsp;&amp;&nbsp;Reliability</li></ul>&nbsp;Our&nbsp;company&nbsp;offers<ul><li>Excellent&nbsp;working&nbsp;environment</li><li>Excellent&nbsp;career&nbsp;and&nbsp;development&nbsp;opportunities</li><li>Ongoing&nbsp;training</li><li>Private&nbsp;health&nbsp;insurance&nbsp;scheme</li></ul>

IT Systems Engineer

About the Role: At KAFKAS, Building Technology Solutions are about enabling smarter, safer and more efficient buildings through reliable electrical, automation, connectivity and protection solutions.We are looking for an Assistant Product Manager – Building Technology Solutions to join our Buying team and support the development and commercial performance of product categories related to building automation, UPS, DIN rail components, electrical panels, access control, security, fire detection and structured cabling.This is a great opportunity for a professional with analytical thinking, commercial mindset, and interest in smart building technologies, who wants to grow in product management and develop expertise in building infrastructure and technology solutions.Key Responsibilities:<ul><li>Support Product Managers in the daily monitoring and development of building technology &nbsp;product categories.</li><li>Analyze sales, pricing, stock and market data to identify trends, opportunities and areas for improvement</li><li>Assist in product portfolio management, including product updates, new product launches and category performance tracking</li><li>Participate in pricing, margin and commercial actions through data preparation and analysis</li><li>Collaborate with suppliers and internal stakeholders to collect product information, technical specifications and commercial updates</li><li>Work closely with Demand Planning, Sales, Marketing and other teams to strengthen product availability, promotional actions and category performance</li><li>Prepare reports, presentations and product-related material to enable business decisions and internal communication</li><li>Gradually develop solid understanding of the category, its products and market dynamics, while gradually taking on increased responsibilities.</li></ul>What We’re Looking For:<ul><li>1–2 years of experience in product management, category management, procurement, sales support, marketing, business analysis or a related commercial role</li><li>Bachelor’s degree in Business Administration, Marketing, Economics, Engineering, Electrical Engineering or a related field</li><li>Interest in building technology solutions, smart building systems, electrical equipment, technical products or B2B commercial environments</li><li>Very good knowledge of Microsoft Excel and ability to work with data in a structured way</li><li>Very good command of English, both written and spoken</li><li>Analytical thinking, attention to detail and problem-solving mindset</li><li>Strong communication and collaboration skills, with the ability to work effectively with different teams.</li><li>Commercial perception, curiosity and willingness to learn</li><li>Knowledge of Power BI, SAP, CRM or previous experience in the lighting/electrical equipment market will be considered an asset.</li></ul>What to Expect from Us:<ul><li>Competitive salary &amp; benefits package</li><li>Work in an award-winning company (Best Workplace in Greece for 12 years)</li><li>Be part of an organization leading global industry trends</li><li>Career growth and learning opportunities in a dynamic environment.</li></ul>

Assistant Product Manager – Building Technology Solutions

Are you passionate about turning data into real business opportunities? We’re looking for a&nbsp;Customer Analytics Specialist&nbsp;who will analyze customer data from our CRM system and translate insights into actionable business opportunities.Your contribution to the success of the team<ul><li>Analyze customer data from the CRM database to identify trends, patterns, and opportunities</li><li>Generate reports highlighting potential sales opportunities, customer behavior, and market insights</li><li>Evaluate qualitative and quantitative data to support decision-making</li><li>Support segmentation, targeting, and campaign analysis initiatives</li><li>Collaborate with marketing teams to propose and optimize targeted campaigns</li><li>Monitor campaign performance and suggest improvements based on data analysis</li></ul>Your Qualifications &amp; Skills<ul><li>Bachelor’s or Master’s degree in Statistics, Mathematics, Data Analysis, Business Analytics, or a related quantitative field</li><li>2+ years of experience in data analysis, database management, or similar role</li><li>Strong hands-on experience with CRM systems, as well as advanced knowledge of Microsoft Power BI (familiarity with other BI tools is considered a plus)</li><li>Advanced proficiency in Microsoft Excel</li><li>Ability to present data in a clear and meaningful way</li><li>Excellent analytical and problem-solving skills</li><li>Detail-oriented and proactive, with a strong ability to translate data into actionable insights.</li><li>Ability to work independently and as part of a team</li></ul>Nice to Have:<ul><li>Experience in marketing analytics</li><li>Familiarity with reporting tools and dashboards</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🚍Transportation with company’s bus from central stations📖 Funded training &amp; development opportunities🥪Catering food services

Customer Analytics Specialist (Marketing Data)

As part of Data &amp; AI practice, you will formulate real-world problems into practical, efficient, and scalable AI and Machine Learning products. There will never be a typical day and you will continuously learn and grow. The opportunities to make a difference within exciting client initiatives are unlimited in the ever-changing technology landscape. You will be part of a global team of data scientists, data engineers, and experts in AI &amp; ML, who are highly collaborative taking on today’s biggest, most complex business challenges across a range of industries. Responsibilities:<ul><li>Lead a technical team of 5-8 people and provide guidance to explore and implement new data methodologies, model building techniques, cutting-edge algorithms, and operationalization frameworks to solve real-world problems</li><li>Establish deep understanding and ability to remain at the forefront of AI and foundation models (with a focus on driving innovation by applying these techniques to new business problems, use cases, and scenarios)</li><li>Justify the value of innovative AI or traditional Machine Learning approaches (or a combination of both) in the business problems, constructing methodologies that clearly demonstrate their value</li><li>Work collaboratively with teams (onshore and/or offshore) from both the business and technical side, including business owners, engineers, architects, and UI designers, to achieve end-to-end project development goals</li></ul>show lessQualificationsWHO WE’RE LOOKING FOR?<ul><li>BSc and MSc or PhD in Computer Science, Statistics, Mathematics, Engineering, Physics or related science field from a well-established University</li><li>Minimum of 5+ years of proven working experience in AI &amp; ML areas, leading a team of 5-8 people</li><li>Solid theoretical and hands-on knowledge of deep learning, neural networks, foundation models, NLP and/or Computer vision</li><li>Proficiency in AI &amp; ML scripting (such as Python) and Machine Learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn)</li><li>Strong program management and communication skills, both verbal and written</li><li>Ability to communicate results effectively and explain technical methodologies in non-technical audience</li><li>Experience with Cloud Technologies (MS Azure, GCP, AWS)</li><li>Considered a plus (not a prerequisite):</li><li>Understanding of ML lifecycle and hands-on experience with ML Ops</li><li>Experience in SQL and interpretation of large databases (via tools such as Hive, Spark, NiFi, HBASE, HDFS, Kafka, Kudu would be an asset)</li><li>Familiarity with visualization tools (Power BI, Tableau) Experience in</li><li>Experience with containerization and orchestration tools</li><li>Experience in sales and business development</li><li>Ability to work as a team player in multinational project teams</li><li>Fluency in English (verbal and written)</li><li>All male candidates should have fulfilled their military obligations</li></ul>WHAT’S IN IT FOR YOU?<ul><li>Competitive salary and benefits, including but not limited to: life/health insurance, performance based bonuses, monthly vouchers, company car (depending on management level), flexible work arrangements, employee share purchase plan, TEA Accenture, parental leave and various corporate discounts</li><li>Continuous training &amp; development through global platforms &amp; local academy. 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>Ongoing strength and skill-based evaluation process</li><li>Various opportunities to develop your career across a spectrum of clients, industries and projects</li><li>Diverse and inclusive culture</li><li>Opportunities to get involved in corporate citizenship initiatives, from volunteering to doing charity work</li><li>Under our Brain Regain initiative, extra relocation benefits may apply</li></ul>

AI/ML Science Manager

As a&nbsp;Senior Back-end Developer&nbsp;you will be responsible for designing and implementing highly-performant, customized and responsive applications that meet business process and application requirements. The developed and innovative applications will be integrated with data services like Data Science, AI or IoT. Your day to day tasks will include participating in the daily scrums, shaping and coding the back-end components of the user stories, unit testing the code and committing it into the repository.Key Responsibilities:<ul><li>Design, build, and optimize back-end systems for high-performing web applications using Python (Django, FastAPI).</li><li>Develop and maintain APIs (REST/GraphQL) to enable secure and efficient data exchange across applications.</li><li>Architect scalable solutions ensuring reliability, performance, and maintainability in production environments.</li><li>Manage databases (SQL &amp; NoSQL), write optimized queries, and ensure data integrity across large-scale systems.</li><li>Implement CI/CD pipelines and automated testing to maintain code quality and support rapid deployments.</li><li>Collaborate with front-end developers, product managers, and data engineers to deliver seamless end-to-end solutions.</li><li>Ensure application security and compliance by applying best practices in authentication, authorization, and data protection.</li><li>Leverage containerization and cloud services (Docker, Kubernetes, Azure/AWS/GCP) for deployment and scalability.</li><li>Mentor junior developers by reviewing code, sharing best practices, and fostering continuous learning.</li><li>Stay up to date with modern web technologies and introduce improvements to enhance system performance and developer productivity.</li></ul>QualificationWHO WE´RE LOOKING FOR?&nbsp;<ul><li>A bachelor's degree in Computer Science or related field is essential.</li><li>3+ hands on experience with back-end programming languages, Rest APIs development, and respective frameworks (Python Fast API, Django, .Net, C# or Node.JS)</li><li>Experience with connecting to Application Program Interface (API) to build and integrate endpoints</li><li>Experience with Container Orchestration systems (Docker, Kubernetes) and Microservices architecture</li><li>Experience with Git (forking, branching, merging)</li><li>Experience with databases (MySQL, MongoDB or Postgres SQL)</li><li>Experience with Container Orchestration systems (Docker, Kubernetes)</li><li>Experience working as a member of a software development team, e.g. participating in planning sessions and interpreting user stories, doing code reviews, pair programming</li><li>Ability to think creatively to design/build applications that meet business process and application requirements</li><li>Ability to understand business requirements and translate them into technical requirements</li><li>Ability to work in a global collaborative team environment</li><li>Ability to manage multiple priorities, and assess and adjust quickly to changing priorities</li></ul>WHAT´S IN IT FOR YOU?<ul><li>Competitive salary and benefits, including but not limited to: life/health insurance, performance based bonuses, monthly vouchers, company car (depending on management level), flexible work arrangements, employee share purchase plan, TEA Accenture, parental leave, paid overtime (if needed) and various corporate discounts</li><li>Continuous hard and soft skills training &amp; development through global platforms &amp; local academy</li><li>Career coaching and mentorship to help you manage your career and develop professionally</li><li>Ongoing strengths and skills based evaluation process</li><li>Various opportunities to develop your career across a spectrum of clients, industries and projects</li><li>Diverse and inclusive culture</li><li>Corporate citizenship initiatives (access to volunteering opportunities, charity work etc.)</li><li>Under our Brain Regain initiative, extra relocation benefits may apply</li></ul>

Senior Back-End Developer (Django/FastAPI)

Are you excited about using advanced analytics to unlock real value from retail customer data?&nbsp;You’ll turn raw signals and trends into actionable insights that power smarter decisions, better experiences, and measurable ROI.&nbsp;Your day to day will include:<ul><li>Applying robust business logic to analyze customer behavior and performance trends, identifying opportunities, risks, and growth drivers</li><li>Performing in‑depth analysis on strategic topics (e.g., segmentation) and implementing ML/AI algorithms where applicable</li><li>Translating complex data into clear, actionable insights that support business decision‑making and recommending actions with measurable impact</li><li>Conducting regular and ad hoc analyses on CRM, Loyalty, and Commercial activations and delivering insights on customer engagement and value contribution</li><li>Developing and maintaining evaluation dashboards and reports (e.g., Power BI, Tableau, GA) by integrating multiple data sources</li><li>Implementing strong data validation procedures to ensure accuracy, consistency, and reliability of analytical outputs</li><li>Delivering presentations upon management request, providing analysis of complex datasets, commercial insights, and actionable plans</li><li>Designing, calculating, and maintaining customer‑centric KPIs and performance frameworks to evaluate initiative outcomes</li><li>Collaborating closely with internal teams (e.g., CRM, Loyalty, MUs, Sales, Finance, BI) to assess their analytical needs and translate them into actionable insights</li><li>Partnering with Tech teams to define data engineering and BI requirements (e.g., data marts, customer 360° views, validation standards)</li></ul>&nbsp;What you need to succeed:&nbsp;<ul><li>BSc in Statistics, Mathematics, Engineering, Computer Science or Analytics; MSc in a relevant field is a plus</li><li>Experience in data mining and big data analysis within complex environments</li><li>Strong SQL skills and hands‑on experience with analytical tools (Python, R, SAS, SPSS Modeler)</li><li>Solid understanding of statistical models and advanced analytical techniques</li><li>Proficiency in data visualization tools (Power BI, Tableau)</li><li>Strong analytical thinking, business acumen, and problem‑solving mindset</li><li>Proficient MS Office knowledge</li><li>Excellent command of English (written &amp; spoken)</li></ul>&nbsp;What’s in it for you?<ul><li>An award-winning working environment&nbsp;🚀</li><li>Competitive salary package and bonus scheme&nbsp;💸</li></ul><ul><li>Health insurance coverage &amp; Pension Plan&nbsp;🙏</li></ul><ul><li>State of the art facilities including gym &amp; restaurant&nbsp;🏢</li><li>Hybrid working model&nbsp;💻</li><li>Continuous learning with classroom/digital trainings by Allwyn Academy&nbsp;🎓</li><li>Internal Career Opportunities&nbsp;💼</li><li>Volunteering opportunities, including 2 extra days off to give back🌱</li><li>Well-Being activities&nbsp;💪</li><li>Monthly food allowance 🍴</li><li>Exclusive employee discounts across a range of partners 🛍️</li></ul>

Data Analyst (3865)

Intellectica is seeking an experienced and highly motivated Senior SAP BW/SAC Analyst on behalf of a leading European healthcare provider. Reporting directly to the Head of Financial Controlling, the successful candidate will play a pivotal role in strengthening the organization’s data-driven culture by delivering reliable analytics, identifying improvement opportunities, and supporting strategic decision-making at the highest management level. As the SAP BI landscape expands, this position will also contribute to shaping a scalable and sustainable analytics architecture.&nbsp;Key activities and responsibilities of this role include:&nbsp;<ul><li>Design, develop, and maintain SAP BW data models, process chains, and BI reports</li><li>Create modern, interactive dashboards and reports in SAP Analytics Cloud (SAC)</li><li>Gather, analyze, and translate business requirements into comprehensive BI solutions</li><li>Ensure the quality, accuracy, and completeness of data feeding into reports and dashboards</li><li>Collaborate with cross-functional teams (Finance, IT, and Operations) to identify needs and deliver optimal solutions</li><li>Contribute to the long-term BI roadmap and identify opportunities for automation and advanced analytics (predictive insights, planning, forecasting)</li><li>Monitor, troubleshoot, and optimize BW and SAC performance, including query optimization and data load management</li><li>Maintain documentation for data models, reports, and BI processes, ensuring clarity and compliance with governance standards</li><li>Support user acceptance testing (UAT) and provide guidance or training to business users as needed</li></ul>&nbsp;Professional experience &amp; qualifications of a successful candidate:&nbsp;<ul><li>Bachelor’s degree in Computer Science, Economics, or a related field</li><li>5+ years’ hands on experience in SAP BW and SAP Analytics Cloud projects</li><li>Proven track record of contributing to or leading Business Intelligence (BI) initiatives from design to delivery</li><li>Ability to collaborate effectively within project teams and cross-functional environments</li><li>SAP Reporting certifications (e.g., SAC, BW/4HANA) will be considered an asset</li><li>Experience with data governance, security models, and compliance is a plus.</li></ul>&nbsp;Core competencies of successful candidate:&nbsp;<ul><li>Strong analytical skills</li><li>Clear and confident communication</li><li>Team-oriented with collaborative mindset</li><li>High attention to detail and security awareness</li><li>Adaptability to evolving needs</li></ul>

SAP BW/SAC Analyst

As a Retail Analytics Senior Specialist, you will play a key role in shaping and supporting the strategic direction of OPAP’s retail network. You’ll contribute to the definition of business objectives, commercial KPIs, and budget planning, while continuously 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;Your day to day will include:<ul><li>Monitoring retail network KPIs (OPAP 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 ad-hoc and deep-dive analyses to assess commercial initiatives (e.g., Sports Party, KINO draws).</li><li>Tracking performance and reward schemes to ensure effectiveness.</li><li>Evaluating retail initiatives for impact and alignment with business priorities.</li><li>Ensuring accuracy and stability of reporting tools, combining technical expertise with business understanding.</li><li>Delivering actionable insights that connect data to commercial outcomes.</li><li>Collaborating with the AI team on root cause analysis and predictive modeling and expanding reporting automation using AI capabilities.</li><li>Contributing to the design and evaluation of commercial and credit policies, and reward schemes, recommending improvements.&nbsp;</li><li>Suggesting new initiatives, services, and features to boost retail ROI for partners and OPAP.</li><li>Conducting post-investment appraisals of retail initiatives, evaluating store profitability with Sales and Finance.</li><li>Aligning with BI team to optimize data infrastructure that supports the team's reporting needs.</li></ul>&nbsp;What you need to succeed:<ul><li>Bsc in Management Science &amp; Technology, Management of Information Systems or relevant field</li><li>Master’s in Business Administration, Finance, Economics, Marketing or relevant field</li><li>Hands-on experience in analyzing, visualizing and interpreting data using tools like R / Python / SQL / Power BI / Data Bricks / Microsoft Azure</li><li>Excellent numerical and analytical skills with the ability to interpret data into well-presented, meaningful stories</li><li>Knowledge of basic financial principles</li><li>Experience in predictive analytics, ideally by utilizing automation, ML &amp; AI features</li><li>Strong result &amp; consumer-oriented approach</li><li>Excellent communication and presentation skills in English &amp; Greek</li><li>Good Knowledge of the gaming industry will be considered an asset</li></ul>&nbsp;What’s in it for you?<ul><li>An award-winning working environment&nbsp;🚀</li><li>State of the art facilities including gym &amp; restaurant&nbsp;🏢</li><li>Hybrid working model&nbsp;💻</li><li>Competitive salary package and bonus scheme&nbsp;💸</li><li>Health insurance coverage &amp; Pension Plan&nbsp;🙏</li><li>Monthly food allowance&nbsp;🍴</li><li>Continuous learning with classroom/digital trainings by OpapAcademy&nbsp;🎓</li><li>Internal Career Opportunities&nbsp;💼</li><li>Well-Being Activities&nbsp;💪</li></ul>&nbsp;OPAP Group is an equal opportunity employer&nbsp;

Retail Analytics Sr. Specialist (3770)

As a Senior Internal Auditor (IT &amp; Data Analytics), you are responsible for providing independent, objective assurance and advisory services designed to add value and improve the organization’s operations. In this role, you will engage frequently with ΙΤ, Cyber Security, Digital Banking, Data Governance business and functional units across the Bank and the wider International Group, providing valuable insights and challenging the effectiveness of respective ICT and operational risk management processes.&nbsp;What you will be doing&nbsp;<ul><li>Assess the effectiveness and efficiency of the IT processes followed at Group level.</li><li>Evaluate the design and operational effectiveness of information systems and applications.</li><li>Contribute to the development and application of the internal audit functions’ data analytics capability.</li><li>Review, evaluate and test application controls.</li><li>Complete audit working papers by documenting audit tests and findings.</li><li>Provide recommendations on identified issues.</li><li>Keep abreast of the new audit developments and apply international practices and standards (IIA, ISACA - CoBIT, ITIL etc.).</li></ul>&nbsp;What you need to have&nbsp;<ul><li>A Bachelor’s Degree preferably in Information Technology, Computer Science or in another quantitative field of study (e.g. Engineering, Mathematics or any other related discipline).</li><li>7 – 10 years of professional experience in&nbsp;Network/System/Database/Development/Application Administration,&nbsp;IT Security,&nbsp;Data Processing and Data Visualization Technologies,&nbsp;ICT Audit</li><li>Knowledge of banking environment will be considered a plus.</li><li>A professional qualification, such as CISA, CISSP, CISM or any other related audit/technical designation, will be considered an asset.</li><li>Communication, report writing and presentation skills.</li><li>Excellent command of the English language (both written and spoken).</li></ul>&nbsp;&nbsp;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>

Senior Internal Auditor (IT & Data Analytics)

We are looking for&nbsp;a Senior Data Integration Engineer&nbsp;to join the dynamic Data Practice team and collaborate on EPAM strategic projects.As a Senior Data Integration Engineer, your key role will be to build data systems and applications that drive decision-making. You will primarily focus on developing and maintaining data pipelines and data-driven solutions in public clouds like AWS or Azure, as well as migrating data from the on-premises data centers to the cloud. Additionally, you will build components for enterprise data platforms.The remote option applies only to the Candidates who will be working from any location in Greece.Responsibilities<ul><li>Play a key role in driving forward EPAM strategic data projects</li><li>Design, build, and manage enterprise data solutions in Public Cloud (AWS, Azure)</li><li>Develop components for the enterprise data platform to ensure data accuracy and availability</li><li>Collaborate with data scientists, data architects, and others ensure data needs are met</li><li>Implement secure and auditable data processes to ensure data integrity</li><li>Troubleshoot any data-related issues and strive to improve the quality of data systems</li></ul>Requirements<ul><li>Proven experience as a Data Engineer or similar role for at least 3 years</li><li>Proficiency in SQL and Phyton</li><li>Proven experience with Public Cloud (AWS, Azure), DBMS and ETL/ELT tools</li><li>Hands-on experience with Databricks</li><li>Experience in data acquisition (API calls/FTP downloads), ETL, transformation/normalization (from raw to DB table schema structure), storage (Raw files, Database server), distribution &amp; access (Entitlements for users, build of API’s and access points for data)</li><li>Experience building components for enterprise data platform (Data Warehouses, Operational Data Stores, Access layers with APIs, file extracts, user queries)</li><li>A bachelor's degree in computer science, IT, or a related field</li><li>Strong communication skills</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 Integration Engineer (Databricks) Remote

Senior Data Integration Engineer (Databricks)

As a Business Development &amp; Innovation Analyst, you will support the company’s growth strategy through data analysis, market intelligence, and strategic insight within the digital payments ecosystem. The role focuses on analyzing transaction data and product performance, monitoring developments in the payments and fintech landscape, and generating insights that support the evolution and positioning of DIAS services. You will work with internal data and business intelligence tools, contribute to the evaluation of products and services, and support informed decision‑making in a fast‑evolving financial technology environment.Responsibilities<ul><li>Analyze transaction data and product performance to identify trends, patterns, and growth opportunities</li><li>Produce dashboards, reports, and analytical insights using BI tools and internal data sources</li><li>Monitor market and competitive developments in payments, fintech, and financial services</li><li>Support product and innovation initiatives through data‑driven analysis and market insights</li><li>Provide analytical support to business development activities, including preparation of materials for partners and stakeholders</li><li>Prepare reports and presentations for internal stakeholders and senior management, translating complex information into clear business recommendations</li><li>Maintain awareness of industry and regulatory developments relevant to digital payments and financial infrastructure</li></ul>Position Requirements<ul><li>Bachelor’s degree in Business Administration, Computer Science, or another relevant field</li><li>A postgraduate degree in a relevant field will be considered an asset</li><li>Minimum of 3 years of relevant professional experience in Technology Sales or Business</li><li>Development roles within the payments, IT, or financial services sectors</li><li>Excellent communication and presentation skills in both Greek and English</li></ul>Required Knowledge, Skills, and Abilities<ul><li>Strong networking and relationship-building skills</li><li>Commercial awareness and ability to translate data and market insights into business opportunities</li><li>Time management and planning skills</li><li>Excellent analytical, reasoning, and problem-solving skills</li></ul>Will be considered a plus<ul><li>Experience in payment systems, financial infrastructure, or fintech environments</li><li>Experience participating in industry events or public-facing initiatives</li></ul>Why Would You Enjoy Working with Us?As a member of our team:<ul><li>You will be part of a mission-critical fintech company that plays a central role in digital payments in Greece</li><li>You will experience a work environment built on meritocracy, transparency, and recognition</li><li>You will participate in trainings, seminars, and certifications to continually enhance your professional development</li><li>You will gain exposure to cutting-edge payment services and national financial infrastructure</li></ul>What We Offer<ul><li>Competitive remuneration package</li><li>Private health &amp; life insurance plan for you and your family</li><li>Children allowances</li><li>Meal benefits</li><li>Hybrid working model</li><li>Training &amp; development opportunities</li><li>A stable, positive, and inclusive work environment</li></ul>

Business Development & Innovation Analyst

CrediaBank is seeking for a Business Intelligence Analyst within the MI Reporting Unit. As Business Intelligence Analyst you will collect, process and analyze data and create and maintain data structures, while utilizing reporting tools to provide reliable information to relevant business units. The ideal candidate will have experience in data analysis, preferably in the financial sector, and demonstrate strong analytical skills anddetail-oriented mindset as well as ability to integrate information into comprehensive solutions.Responsibilities• Collect, process and consolidate data, utilizing Business Intelligence tools to ensure accurate and consistent information• Design and implement mechanisms to ensure seamless and secure flow of information across relevant business units• Develop, configure and maintain robust data structures to meet reporting needs• Understand regulatory requirements and automate regulatory reporting processes• Organize and manage the unit’s information database and all related documentation, to ensure accessibility to information• Provide technical input, design and maintenance support for reporting tools and data visualization solutions.Qualifications• A bachelor's degree preferably in Science, Computer Science or any other related degree• Α master's degree is desirable in a relevant field of study• Excellent command of English (both written and spoken)• Strong computer literacy and proficiency in MS Office• At least 3 (three) years of professional experience in data analysis or another related field• Proficiency in data analysis / statistical analysis• Very good knowledge of SQL and/or other statistical programming languages• Proficiency in programming languages (e.g., Python, R, SAS)• Experience with Power BI and/or other Business Intelligence tools will be highly appreciated• Strong analytical thinking and high attention to detail• Critical thinking and problem-solving ability• Excellent communication, collaboration and organizational skills• Ability to adapt in a fast-paced working environment• Continuous learning mindset

Business Intelligence Analyst

Intellectica is recruiting an experienced and highly skilled Principal Data Scientist on behalf of a newly established AI &amp; Machine Learning startup, which will be integrated into a leading group of companies operating in the aerospace, defense, and high-technology sector. This startup aims to develop cutting-edge AI-driven solutions tailored to the aerospace and defense industry. This role reports directly to the CTO and plays a central role in defining and executing the company’s data science strategy.&nbsp;Key activities and responsibilities of this role include:&nbsp;<ul><li>Architecting innovative data science solutions that ensure scalability, robustness, and reliability across diverse domains</li><li>Leading product-level modeling strategies end-to-end, from research and prototyping to production deployment and monitoring</li><li>Defining and promoting best practices across the data science lifecycle, aligned with the company’s MLOps operating model</li><li>Coaching and mentoring senior data scientists, fostering skill development and consistency across teams</li><li>Collaborating with ML and Site Reliability Engineers to shape the AI infrastructure roadmap and technology portfolio</li><li>Advising on business development strategy, identifying market opportunities where AI offers a competitive edge</li><li>Translating complex operational challenges into data-driven solutions for public sector clients and partners</li><li>Driving exploration and adoption of emerging technologies such as distributed LLM inference, foundational model fine-tuning, and simulation-based ML</li><li>Contributing to the development of Verification &amp; Validation methods for AI in safety- and mission-critical contexts</li><li>Ensuring secure and responsible use of AI across all projects</li><li>Representing the company in external conferences, expert panels, and consortia, leading thought leadership in defense-focused AI</li></ul>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Professional experience &amp; qualifications of a successful candidate:&nbsp;<ul><li>PhD or equivalent graduate degree in Data Science, Machine Learning, Computer Science, Statistics, Informatics, or a related quantitative field</li><li>Minimum 8 years of experience in advanced data science and machine learning, with a strong track record of production-level solution delivery</li><li>Deep proficiency in Python and its ML ecosystem (e.g., Pandas, NumPy, PyTorch, TensorFlow, Hugging Face)</li><li>Expertise in full ML workflows including data engineering, model design, training, deployment, and lifecycle management</li><li>Proven experience with large-scale or distributed ML systems (e.g., Ray, PyTorch Lightning, Horovod)</li><li>Demonstrated proficiency in at least two of the following: large language models, computer vision, multimodal learning, generative AI</li><li>Hands-on experience integrating ML models into operational systems with real-time performance monitoring</li><li>Familiarity with cloud-native and high-performance computing environments (AWS, Azure, GCP, or on-prem HPC)</li><li>Experience with computer vision algorithms (e.g., R-CNN, YOLO)</li><li>Proficient in Greek and English</li></ul>&nbsp;Core competencies of a successful candidate:<ul><li>Excellent communication and interpersonal skills to engage effectively with internal and external stakeholders across all levels</li><li>Strategic thinker with ability to align research with mission needs</li><li>Inspiring leader and mentor across data science teams</li><li>Fast and creative prototype builder</li><li>Decisive in ambiguous, high-stakes situations</li><li>Resilient and adaptable in dynamic environments</li><li>Collaborative and alignment-driven across teams and partners</li></ul>

Senior Data Scientist

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 Remote

Lead Data Integration Engineer

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;

Job Ads Data Manager Greece, Information Technology / It - Page 3

mid ml engineer

Code.Hub

senior ml engineer

Code.Hub

it systems engineer

SPACE HELLAS AE

assistant product manager – building technology solutions

ΚΑΥΚΑΣ

customer analytics specialist (marketing data)

ENTERSOFTONE

ai/ml science manager

Accenture

senior back-end developer (django/fastapi)

Accenture

data analyst (3865)

ΟΠΑΠ

sap bw/sac analyst

Intellectica

retail analytics sr. specialist (3770)

ΟΠΑΠ

senior internal auditor (it & data analytics)

Alpha Bank

senior data integration engineer (databricks) remote

EPAM Global

senior data integration engineer (databricks)

EPAM Global

business development & innovation analyst

ΔΙΑΤΡΑΠΕΖΙΚΑ ΣΥΣΤΗΜΑΤΑ (ΔΙΑΣ) Α.Ε

business intelligence analyst

CrediaBank

senior data scientist

Intellectica

lead data integration engineer remote

EPAM Global

lead data integration engineer

EPAM Global

data engineer

Elpen

retail analytics specialist (3962)

ΟΠΑΠ

Jobily.gr

For Employers

For Job Seekers

Company