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We are looking for a Senior Data Governance Engineer to join our Data Management Team, based in Athens, Greece. In this role, you will be responsible for designing, implementing, and maintaining data governance frameworks, policies, and tools that ensure the quality, integrity, security, and effective management of organizational data. You will work closely with Data Owners, Data Stewards, IT teams, and business stakeholders to support and advance data governance initiatives across the organization.&nbsp;Your role will encompass:<ul><li>Design and implement comprehensive data governance frameworks, including data quality, metadata management, data lineage, and data security.</li><li>Develop and maintain data governance policies, standards, and procedures aligned with business and regulatory requirements.</li><li>Enhance and manage the Data Governance Platform, including the Business Data Catalogue and Data Lineage.</li><li>Evaluate, implement, and manage data governance tools, ensuring scalability, performance, and alignment with governance frameworks.</li><li>Lead workshops with business and technical stakeholders to gather requirements, define data lifecycle processes, and document functional specifications.</li><li>Perform data profiling and analysis to understand data structures, definitions, and usage across systems.</li><li>Collaborate with Data Stewards and Data Owners to define and implement data quality rules, controls, and remediation processes.</li><li>Develop and maintain data quality reporting, scorecards, and monitoring mechanisms.</li><li>Support continuous improvement of data governance processes, tools, and practices.</li></ul>&nbsp;What you bring to the role:<ul><li>Bachelor’s degree in Computer Science, Information Technology, or a related field.</li><li>Master’s degree will be considered an asset</li><li>+4 years of experience in Data Governance, Data Management, or related roles.</li><li>Strong understanding of data governance principles, including data quality, metadata management, and data lineage.</li><li>Experience with SQL and Python.</li><li>Experience with Data Governance tools such as MS Purview, SAS Business Data Network, or SAS Dataflux will be considered an asset.</li><li>Knowledge of SAS code will be considered an advantage.</li><li>Strong analytical and problem-solving skills.</li><li>Excellent communication and stakeholder management skills.</li><li>Proficiency in English (written and spoken).</li><li>Experience in DWH/BI projects, ideally within the energy, metals, or retail sectors, will be considered a plus.</li></ul>&nbsp;Value-Based Behaviors:<ul><li>People &amp; Personal Growth</li><li>Results Orientation &amp; Safety Excellence</li><li>Collaboration &amp; Trust</li><li>Empathy &amp; Effective Communication</li><li>Flexibility &amp; Adaptability</li></ul>&nbsp;Your Benefits:<ul><li>Competitive remuneration package</li><li>Ticket Restaurant Card</li><li>Group Health Insurance Plan</li><li>Preferential household electricity plan</li><li>Pension Plan</li></ul>&nbsp;

Senior Data Governance Engineer

NTT Data Greece is looking for a Solutions Architect in Athens to work with our clients in the European public sector. As a Solutions Architect, you will be working with a variety of different clients across multiple industries. We’re looking for enthusiastic people with proven experience in developing scripts, testing infrastructure and adapting solutions with technology.&nbsp;&nbsp;&nbsp;Your Role:<ul><li>Define the system architecture, focusing on Java backend, Angular frontend, and Cosmos DB for cloud-based databases.&nbsp;</li><li>Develop architectural blueprints and ensure alignment with business goals and technology stacks.&nbsp;</li><li>Ensure solutions are scalable, secure, and optimized for performance, particularly in cloud and distributed environments.&nbsp;</li><li>Act as the main technical contact for stakeholders, guiding high-level design decisions and setting technical standards.&nbsp;</li><li>Collaborate with development teams, stakeholders, and business analysts to ensure solutions meet both technical and business requirements.&nbsp;</li><li>Communicate architectural decisions to technical and non-technical audiences.&nbsp;</li><li>Mentor development teams on best practices.&nbsp;</li><li>Lead technical workshops, reviews, and brainstorming sessions to foster continuous improvement.&nbsp;</li><li>Design systems that integrate with third-party services and internal systems via APIs, ensuring proper data management.&nbsp;</li></ul>Your Profile:<ul><li>Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field (or equivalent experience).&nbsp;</li><li>Minimum 6 years experience in architecture and design experience of similar complex projects.&nbsp;</li><li>Excellent experience in either Spring or Java EE, notably in RESTful web services, dependency injection frameworks and server-side (JSF, Spring MVC) or client-side (Angular) technologies;&nbsp;</li><li>Solid experience of relational database management systems or NoSQL/messaging systems;&nbsp;</li><li>Knowledge of Enterprise architecture methodologies (e.g. TOGAF);&nbsp;</li><li>Experience in agile software development processes and methodologies, DevOps approach and associated technologies (e.g. dependency management, CI/CD, cloud-based environments, cloud architecture, REST APIs)&nbsp;</li><li>Strong understanding of networking, security, and compliance.&nbsp;</li><li>Excellent problem-solving and troubleshooting abilities.&nbsp;</li></ul>

Solutions Architect

We are looking for a Senior Data Engineer to join our Data Management Team, based in Athens, Greece.In this role, you will contribute to the design, development, and evolution of the organization’s next-generation data platform, working within a Microsoft Azure Cloud environment.You will actively participate across the full project lifecycle — from business requirements gathering and solution design to development, testing, and production rollout — ensuring scalable, reliable, and high-performing data solutions.&nbsp;Your role will encompass:<ul><li>Participate in technical workshops with Data Architects to review and validate proposed data solutions.</li><li>Design, build, test, and optimize ETL processes in alignment with defined data architectures.</li><li>Provide technical guidance within the Data Engineering team and mentor junior Data Engineers.</li><li>Collaborate with Project Managers and Business Analysts to translate business requirements into scalable data solutions.</li><li>Contribute to task estimation and resource planning for new business demands.</li><li>Maintain and enhance reporting schemas and internal SQL-based data warehouse systems.</li><li>Define and promote best practices, standards, and optimization techniques to enhance the Corporate Data Warehouse.</li><li>Monitor and support daily Data Warehouse flows and data pipelines to ensure stability and performance.</li></ul>&nbsp;What you bring to the role:<ul><li>BSc or MSc degree in Computer Science, Mathematics, Statistics, or a related technical field.</li><li>+5 years of experience in Data Engineering, Business Intelligence, or a related role.</li><li>Strong knowledge of data warehousing concepts (ETL, staging/target areas, OLAP, dimensional modeling, data marts).</li><li>Experience with Azure Data Factory and Databricks will be considered an asset.</li><li>Experience with Azure Synapse Analytics or Azure Dedicated SQL Pool will be considered an asset.</li><li>Familiarity with Big Data concepts and NoSQL databases (e.g., Azure Cosmos DB, MongoDB) will be considered a plus.</li><li>Experience with source control tools, code repositories, versioning practices, and branch development.</li><li>Proficiency in English (written and spoken).</li><li>Previous experience in DWH/BI projects, ideally within the energy, metals, or retail sectors, will be considered a plus.</li></ul>&nbsp;Value-Based Behaviors:<ul><li>People &amp; Personal Growth</li><li>Results Orientation &amp; Safety Excellence</li><li>Collaboration &amp; Trust</li><li>Empathy &amp; Effective Communication</li><li>Flexibility &amp; Adaptability</li></ul>&nbsp;Your Benefits:<ul><li>Competitive remuneration package</li><li>Ticket Restaurant Card</li><li>Group Health Insurance Plan</li><li>Preferential household electricity plan</li><li>Pension Plan</li></ul>&nbsp;

Senior Data Engineer

As a Reporting Integration Specialist, you will support the maintenance and continuous improvement of the reporting data infrastructure, ensuring the availability and integrity of data utilized in management and external reporting. &nbsp;&nbsp;&nbsp;What you will be doing&nbsp;&nbsp;<ul><li>Document detailed business requirements for new implementations and change requests related to the data aggregation infrastructure</li><li>Carry out thorough User Acceptance Testing to guarantee smooth, accurate and high-quality releases to production</li><li>Analyze, develop, decompose and tests complex algorithms and calculations, as well as present their results in a clear and effective manner</li><li>Contribute to mapping Data Lineage and defining Critical Data Elements to strengthen data governance and improve end-to-end reporting accuracy</li><li>Work with stakeholders to ensure that data classifications are in alignment with regulatory requirements and Bank’s policies and methodologies</li><li>Define validation rules that ensure data accuracy, coordinates the implementation of relevant checks and controls evaluating the criticality of data quality findings and communicate potential opportunities for data quality improvements</li><li>Utilize programming skills (e.g. SQL, python) to automate manual tasks, transform granular datasets and optimize data flows</li></ul>&nbsp;&nbsp;What you need to have&nbsp;&nbsp;<ul><li>Bachelor’s degree in Banking, Computer Science, Data Analytics, Mathematics or other quantitative field of study</li><li>Master’s degree in Computer Science, Data Analytics or other quantitative field of study</li><li>At least three (3) years of relevant professional experience, ideally in a banking institution or an audit/consulting/FinTech firm</li><li>Experience in Data Governance and familiarity with relative concepts and terminology will be considered a plus</li><li>Hands-on experience in data management, programming languages (e.g. SQL, python) as well as data modelling will be highly appreciated</li><li>Proficient use of the MS Office suite (especially Excel and PowerPoint)</li><li>Structured mindset and commitment to producing high-quality results</li><li>Excellent command of the English language (both written and spoken)</li><li>Strong analytical skills with the ability to interpret and present data effectively</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>

RCOE Reporting Integration Specialist

As a Data Aggregation Specialist, you will design, develop and operate robust data aggregation and transformation processes to support management and external reporting. The role involves leveraging advanced analytical tools and programming techniques to process large‑scale datasets, implement complex calculations and algorithmic logic and ensure the accuracy, consistency and timeliness of reported information &nbsp;&nbsp;&nbsp;What you will be doing&nbsp;&nbsp;<ul><li>Build and maintain the Bank’s data aggregation pipelines that feed regulatory and management reporting</li><li>Utilize programming skills (e.g. SQL, python) to automate manual tasks, transform granular datasets, optimize data flows and perform complex data analysis </li><li>Perform standardized and ad hoc data aggregation activities with the use of analytical tools (e.g. SPSS cloud pak for data), ensuring adherence to deadlines and high quality deliverables </li><li>Design and run quality checks on data, uncovering potential issues and collaborating with internal stakeholders to solve them quickly and efficiently </li><li>Perform periodic reconciliation checks to ensure alignment between data aggregation layers and accounting figures, working in collaboration with stakeholders </li><li>Maintain documentation, data dictionaries and technical specifications for data processes under responsibility</li></ul>&nbsp;What you need to have&nbsp;<ul><li>Bachelor’s degree in Computer Science, Data Analytics, Mathematics or other quantitative field of study </li><li>Master’s degree in Computer Science, Data Analytics, Mathematics or other quantitative field of study </li><li>At least three (3) years of relevant professional experience, ideally in a banking institution or an audit/consulting/FinTech firm </li><li>Strong hands-on experience in data management, programming languages (e.g. SQL, python) and database structures</li><li>Good knowledge of visual analytics suites (e.g. Power BI) </li><li>Proficient use of the MS Office suite (especially Excel and PowerPoint) </li><li>Excellent attention to detail and a commitment to producing high-quality results </li><li>Excellent command of the English language (both written and spoken) </li><li>Strong analytical skills with the ability to interpret and present data effectively </li><li>Familiarity with Accounting, Finance and Risk Management concepts and terminology will be highly appreciated</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>

RCOE Data Aggregation Specialist

Under this framework, we are currently looking for enthusiastic&nbsp;Senior Data Engineers&nbsp;to become part of our dynamic Consulting team in our offices in&nbsp;Athens. In this role, you’ll work with cutting-edge technologies to help clients transform their technology platforms and business operations. Partnering with some of the world’s largest organizations, you’ll help COO’s, CFO’s, CIO’s and their teams realize their ambitions – from improving financial performance, to accelerating speed to market and delivering continuous innovation.Our diverse and passionate team is encouraged to use agile techniques in the development, delivery and on-going management of analytics services and solutions that solve complex business issues through descriptive analytics, advanced visualization, data warehousing, multi-dimensional modelling and business intelligence.#YourRoleYour role as a&nbsp;Senior&nbsp;Data Engineer&nbsp;will focus on leading the delivery of client engagements, by understanding objectives for clients and Deloitte,&nbsp;aligning yours and your team’s work&nbsp;to objectives and setting personal priorities, teaming with others across businesses and borders and taking accountability for own and team results&nbsp;to meet client expectations and project’s desired outcomes.In this role, you will build relationships and exercise your communication skills in order to positively influence your peers and other stakeholders. You will commit to personal learning and development by actively seeking opportunities for growth, you will share knowledge and experience with others, and act as a strong brand ambassador, embracing our purpose and values in order to put these into practice in your professional life.During your tenure as a&nbsp;Senior&nbsp;Data Engineer, you will demonstrate and develop your ability to:·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Participate in large-scale Data Modernization Programs&nbsp;working in international environments·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Lead the delivery of both Cloud and On-Premises Data Initiatives and serve as technical expert for Data Engineering Teams·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Design data-based solutions&nbsp;and data architectures&nbsp;that enable the client’s technology agenda, and communicate market trends and potential impacts effectively to the client·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Provide guidance on project delivery approach, defining success criteria, communication plans, resource plans, project plans, etc.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Design the architecture of the ETL/ELT jobs by utilizing and combining available components and tools·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Assist in the analysis, design, development and testing of Data &amp; Business Intelligence solutions, spanning from data quality sanity checks and data integration controls to data reconciliation across different environments.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Train and mentor colleagues and clients alike with best practices.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Support and participate in business development activities of the firm. #WinningRequirementsTo qualify for the role you must have:·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Bachelor’s Degree in Information Technology, Computer Science, Engineering, Mathematics or other related field.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Master’s Degree in Information Technology or Computer Science.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;At least&nbsp;3&nbsp;years&nbsp;of relevant work experience.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Experience in leading medium to large-scale teams.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;knowledge of&nbsp;Data Warehouse, Data Management, Data Architecture, Data Governance and Business Intelligence principles and techniques.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Experience in On-Premise technologies stacks such as&nbsp;IBM AS400 (DB2), MS SQL Server and Oracle.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Experience in Cloud technology data services such as Databricks, Azure Synapse Analytics, Azure Data Factory,&nbsp;Microsoft Fabric, AWS Glue and GCP BigQuery.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Experience in Data Visualization tools such as Power BI, Qlik and Tableau.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Experience in Orchestration solutions such as Control-M and Apache Airflow.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Experience in Data Science and AI / ML techniques and tools will be considered a plus.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Strong interpersonal and communications skills in Greek and in English.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Military obligations fulfilled where applicable.&nbsp;#A&nbsp; #AboutConsulting Five core competency areas make up our Consulting service line:·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Strategy, Analytics and M&amp;A·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Customer and Marketing·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Core Business Operations·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Human Capital·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Enterprise Technology and Performance We exist to solve complex problemsOur consultants are renowned for their straightforward approach to solving some of the world’s largest and most complex business challenges. Each member of our Consulting team is energized by the challenge a seemingly inscrutable problem presents. Our distinctiveness lies in our refusal to accept a problem at face value - we draw on the depth of our shared insight to ask the right questions, and it’s these questions that uncover answers - answers with impact.We are committed to collaborationOur role is to unlock potential for growth and innovation. We believe this requires real collaboration – with our own networks and with our clients. It’s why we commit to truly getting under the skin of our client’s needs, developing a full appreciation for their environment, goals and ambitions. We’re also unafraid to challenge.&nbsp; In so doing, we build long-term and trusted affinities.We create long-term, sustainable impact &nbsp;We often work hand-in-hand with our clients to help find the right solution and to help apply that solution. Our aim is to leave behind ambassadors who are equipped to continue the transformation we began. For us, it’s about embedding sustainable change, allowing the impact of our insight to be felt for a long time to come.#AboutConsulting Our servicesDeloitte offers Global professional services that include Audit, Risk Advisory, Tax, Consulting and Financial Advisory. Our approach combines insight and innovation from multiple disciplines with global business and industry expertise to help our clients excel anywhere in the world.We deliver outstanding impact on the reputation and success of our clients, in Greece and globally. In pursuing this we contribute to a sustainable and prosperous society, and are firm believers in the positive impact business can and should have on the world it operates within.Our PurposeOur purpose, “To make an impact that matters for our clients, our people and society “- defines who we are and what we stand for. This is not about size, it's about being the first choice. The first choice for the largest and most influential clients, and the first choice for the best talent.Our valuesAt Deloitte we foster a collaborative culture where talented individuals can produce their best work. We value innovative thinking, diverse insights and a genuinely distinctive level of customer service through our expertise and professionalism.We value difference, with respect at the heart of our inclusive culture.Our talent experienceFrom day one at our firm, practitioners are part of a community. Our development and career progression framework will help them develop the skills and capabilities to succeed. The wellness of our people and the ability to offer agile working arrangements is at the centre of our unique talent experience. We create a workplace that encourages collaboration, creativity, inclusiveness to ensure our staff are supported, encouraged and feel a sense of purpose and meaning in what they do each day. Sounds like the sort of role for you? Apply now. This document has been prepared by Deloitte Business Solutions Societe Anonyme of Business Consultants, Deloitte Certified Public Accountants Societe Anonyme and Deloitte Alexander Competence Center Single Member Societe Anonyme of Business Consultants.Deloitte Business Solutions Societe Anonyme of Business Consultants, a Greek company, registered in Greece with registered number 000665201000 and its registered office at Marousi Attica, 3a Fragkokklisias &amp; Granikou str., 151 25, Deloitte Certified Public Accountants Societe Anonyme, a Greek company, registered in Greece with registered number 0001223601000 and its registered office at Marousi, Attica, 3a Fragkokklisias &amp; Granikou str., 151 25 and Deloitte Alexander Competence Center Single Member Societe Anonyme of Business Consultants, a Greek company, registered in Greece with registered number 144724504000 and its registered office at Thessaloniki, Municipality of Pylaia - Chortiatis of Thessaloniki, Vepe Technopolis Thessaloniki (5th and 3rd street), are one of the Deloitte Central Mediterranean S.r.l. 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WINGS ICT Solutions is looking for a Senior SSIS Data Engineer to join our growing team. Talent will be part of a dynamic team of professionals ranging from Project managers and Software architects to software developers and testers and will be using cuttingedge technologies and methodologies to efficiently and effectively deliver the software.Key responsibilities:<ul><li>&nbsp;Design, develop, and maintain robust ETL processes using SSIS to support data integration and migration projects</li><li>Develop and optimize complex SQL queries, stored procedures, and scripts in MS SQL Server to ensure high performance and data accuracy</li><li>Collaborate with cross-functional teams to analyze data requirements and translate business needs into technical solutions</li><li>Implement and manage SSIS packages, including deployment, scheduling, and monitoring of ETL workflows</li><li>Ensure data quality, integrity, and consistency across multiple systems, particularly within banking-related data environments</li><li>Support data modeling activities and contribute to the design of scalable data architectures</li></ul>Requirements:Educational requirements:<ul><li>BSc in Computer Science, Information Technology, or another relevant field.</li></ul>Desired experience and skills:<ul><li>At least 4 years of experience in data migration projects and SSIS implementations</li><li>Working experience in MS SQL Server/ Oracle</li><li>Ability to design complex SQL queries in MSSQL</li><li>Working experience in design and development of SSIS packages</li><li>Experience with C# in the context of SSIS</li><li>ETL experienceUnderstanding of software applications’ fundamental principles, communication methods, and their impact on users’ experience</li><li>Familiarity with Agile/Waterfall methodologies</li></ul>Other Qualifications:<ul><li>Excellent verbal and written communication skills in English</li><li>Native or fluent Greek, oral and written</li><li>Initiative, strong sense of accountability and ownership of actions</li><li>Effective time management &amp; prioritization</li><li>Analytical mindset and attention to detail</li><li>Agility, enthusiasm, and self-motivation</li></ul>Benefits<ul><li>Highly competitive salary, reviewed upwards on a regular basis, based on performance</li><li>Remuneration based on your experience and skills</li><li>Participation in state-of-the-art and large-scale projects</li><li>Personal and professional development, amongst industry experts</li><li>Continuous learning</li><li>Dynamic team with fresh ideas</li></ul>

SSIS Data Engineer

As a Platform Technical Lead – Data, MLOps &amp; Virtualization, you will play a key role in ensuring the operational resilience, engineering coherence, and production readiness of critical enterprise platforms across database services, machine learning operations, and virtualization infrastructure.You will lead modernization and transition initiatives across multiple technology towers, balancing operational stability with platform evolution. Acting as a senior technical authority, you will coordinate engineering activities, recovery readiness, infrastructure transitions, and service improvements while ensuring dependencies across platforms are proactively managed.Your role:<ul><li>Lead the operational and engineering roadmap across database platforms, MLOps environments, and virtualization infrastructure.</li><li>Drive the transition from legacy database technologies toward modern platforms such as PostgreSQL, MongoDB, and emerging cloud-native data services while ensuring production stability and service continuity.</li><li>Own the operational readiness and reliability of MLOps platforms, including deployment governance, observability, platform resilience, and coordination with Kubernetes and cloud engineering teams.</li><li>Lead virtualization and infrastructure modernization initiatives, including Hyper-V adoption, VMware transition activities, HPE hardware lifecycle management, and backup/disaster recovery governance.</li><li>Act as the escalation point for critical incidents, complex migrations, disaster recovery testing, service restoration, and major engineering activities across the supported technology towers.</li><li>Ensure platform dependencies across infrastructure, databases, and ML operations are managed proactively and aligned with operational and engineering objectives.</li><li>Coordinate with vendors, infrastructure teams, cloud engineers, and operational stakeholders to ensure platform performance, recoverability, and long-term sustainability.</li><li>Drive continuous improvement initiatives focused on automation, resilience, monitoring, scalability, and operational excellence.</li><li>Contribute to technology transition planning, capacity management, modernization roadmaps, and service improvement strategies.</li><li>Maintain and promote engineering standards, operational governance, and production readiness practices across all managed platforms.</li></ul>Your profile:<ul><li>Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or related field (or equivalent experience).</li><li>8-10 years of experience in enterprise database operations, administration, and migration programs within complex production environments.</li><li>Strong technical expertise across relational and modern data platforms, including technologies such as DB2, PostgreSQL, MongoDB, and cloud-native database ecosystems.</li><li>Hands-on understanding of MLOps and machine learning platform operations, including Kubernetes-based environments and technologies such as Kubeflow, Pachyderm, Ray, Python, and GPU-enabled platforms.</li><li>Strong experience with enterprise virtualization and infrastructure engineering technologies, including Hyper-V, VMware, SCVMM, Azure Arc, HPE Synergy, OneView, and backup/recovery tooling.</li><li>Proven ability to lead complex technology transitions, modernization initiatives, and operational transformation programs.</li><li>Strong understanding of disaster recovery, backup strategies, operational resilience, recoverability testing, and service continuity practices.</li><li>Experience coordinating vendors, infrastructure teams, cloud/platform engineers, and operational stakeholders in enterprise environments.</li><li>Strong analytical, troubleshooting, stakeholder management, and communication skills.</li><li>Ability to balance operational reliability with modernization and platform evolution objectives.</li><li>Fluent in English (written and spoken).</li></ul>

Platform Technical Lead – Data, MLOps & Virtualization

Scorpios is looking for a Data Analyst who will have the accountability of performing analytical procedures in all Revenue streams and Cost centers. The successful applicant will hold a strategic role within Scorpios overseeing daily operations, safeguarding assets and enhancing internal controls.Opportunities For All&nbsp;Scorpios was created to bring diverse communities of people together, and we take the same approach when building our teams. We thrive on differences and believe it is critical to our success as a global company. Scorpios is proud to be an equal opportunity workplace that seeks to recruit, develop and retain the most talented people from a variety of backgrounds, perspectives, and skills. We therefore encourage applications from all genders, races, religions, ages and sexual orientations, as well as parents, veterans, people living with disabilities, and any other groups that could bring diverse perspectives to our business.&nbsp;Responsibilities&nbsp;<ul><li>Extract data from primary and secondary sources</li><li>Remove corrupted data and fix errors and related problems</li><li>Develop and maintain databases and data systems in general</li><li>Reorganize data in readable and presentable format</li><li>Perform analysis to assess quality and meaningful data</li><li>Filter data by reviewing reports and KPIs</li><li>Use statistical tools to identify, analyze and interpret patterns and trends</li><li>Assign numerical values to essential business functions so that business performance can be assessed and compared over periods of time</li><li>Analyze local, national, and global trends that may impact both the organization and the industry</li><li>Prepare reports for the management, states trends, patterns and predictions using relevant data</li><li>Work closely with programmers, engineers, and management heads and identify process improvements, opportunities, propose system modifications and advise data governance strategies</li><li>Prepare final analysis reports for the stakeholders</li><li>Ad hoc analysis on subject matters</li><li>General support of strategic decision making</li></ul>&nbsp;&nbsp;Requirements&nbsp;<ul><li>Working experience in an analytical role for 1 to 3 years in either business analysis or financial analysis or relevant role</li><li>Bachelor in an analytical field</li><li>Post Graduate studies in an analytical or IT field are a considerable asset</li><li>Proficient Knowledge in Structure Query Language (SQL)</li><li>Good knowledge of R or Python statistical programming</li><li>Proficient knowledge of Microsoft Excel</li><li>Good knowledge of Data Visualization tools</li><li>Very good presentation skills</li><li>Very good knowledge of English language.</li><li>European Union Nationality with available working permission</li></ul>&nbsp;Benefits:&nbsp;Scorpios offers a competitive salary with career development opportunities, based on the candidate's qualifications and skills. By joining our team, you will have the opportunity to work in a stimulating and motivating environment which values diversity and is committed towards its employees.Scorpios offers a permanent working contract.

Data Analyst

Intellectica is recruiting a Data &amp; AI Insights Analyst on behalf of a leading pharmaceutical organization with a strong international footprint and a long-standing track record in innovation, research, and development. Based in Athens, Greece, the successful candidate will report directly to the Business Development &amp; Portfolio Manager and will play a key role in enabling data‑driven decision-making, developing predictive analytics, and supporting the gradual transition of AI capabilities from external partners to an in‑house model.&nbsp;Key activities and responsibilities of this role include:&nbsp;<ul><li>Play a key role in driving data- and AI-powered decision-making within a growing, internationally active business environment</li><li>Act as a consultative partner on AI-related initiatives, proactively identifying opportunities, proposing use cases, and contributing ideas for the adoption and optimization of AI solutions across the department</li><li>Partner with stakeholders to analyze business cases and translate data into clear, actionable insights</li><li>Conduct market and geographical analyses using statistical and external datasets, identifying trends, competitive dynamics, and growth opportunities</li><li>Support strategic decisions on market expansion, investment priorities, and portfolio development through data-driven recommendations</li><li>Perform historical and exploratory analyses to assess market potential and business viability</li><li>Leverage and evaluate AI tools to enhance analytics capabilities and business outcomes</li><li>Develop and support predictive models and forecasting approaches, exploring solutions for complex business prediction challenges</li><li>Structure and optimize data for analytics, supporting the transition to in-house AI capabilities and the development of internal AI-driven applications and solutions</li><li>Prepare and deliver clear, insightful presentations of data and analytical findings to senior management, supporting strategic decision-making; translate complex analytical outputs into business-friendly narratives tailored to non-technical stakeholders</li><li>Any other task that may be required from time to time</li></ul>&nbsp;Professional experience &amp; qualifications of a successful candidate:&nbsp;<ul><li>University degree in Computer Science, Mathematics, Statistics, Information Technology, Engineering or related field; a Master’s degree in a relevant field (e.g. AI, Data Science, Analytics, Economics, Statistics)</li><li>Up to 5 years of experience in Data Analytics, Data Science, or Business/Commercial Analytics, with proven exposure to data-driven decision-making</li><li>Experience in the pharmaceutical or healthcare industry will be considered a strong plus</li><li>Proficiency in Excel; solid understanding of statistical analysis and data analytics methodologies</li><li>Experience working with large and complex datasets, as well as data visualization tools will be considered an asset</li><li>Strong familiarity with modern AI tools and a genuine interest in exploring and applying emerging AI technologies in practice</li><li>Basic understanding of business strategy, market dynamics, and financial concepts will be considered an advantage</li><li>Familiarity with predictive analytics and forecasting techniques is considered a strong plus</li><li>Fluent in Greek and English (written and verbal), with the ability to engage effectively with stakeholders across all levels of the organization</li></ul>&nbsp;Core competencies of a successful candidate:&nbsp;<ul><li>Strong analytical and critical thinking skills with a structured approach to problem-solving</li><li>Proactive, hands-on attitude with a strong sense of ownership and accountability</li><li>Consultative mindset with the ability to identify opportunities and propose practical solutions</li><li>Collaborative team player with strong interpersonal skills and a positive, adaptable approach</li></ul>

Data & AI Insights Analyst

The Information Security (IS) Officer is responsible for oversighting the company’s Information Security Management System (ISMS) implementation, collaborating with teams across the company’s departments to address risks within the organization and reporting the effectiveness of company’s security controls to the Compliance Manager.Key responsibilities<ul><li>Supports establishment and implementation of policies, processes, documents and guidance pertaining to Rontis ISMS</li><li>Supports the development, implementation and monitoring of a strategic, comprehensive information security program to ensure the integrity, confidentiality and availability of data</li><li>Interacts&nbsp;closely with IT and compliance departments</li><li>Participates in audits concerning ISO 27001 and ensure company’s compliance to related certification</li><li>Interacts with external partners on security issues</li><li>Conducts risk assessments regularly with data owners</li><li>Monitors network usage to ensure compliance with security policies. Ensure that data accessibility is in compliance with roles and positions</li><li>Collaborates with management and the IT department to improve security</li><li>Documents any security breaches and assess their damage</li><li>Performs regular gap analyses to identify risk areas</li><li>Assists in investigating possible recorded incidents and assist in taking appropriate action, where applicable</li><li>Promotes information security awareness and training initiatives to educate workforce about information security risks</li></ul>Requirements&nbsp;&amp;Skills<ul><li>University Level Degree in Computer science, or a technology-related field</li><li>Specialization in IT tasks will be considered a plus</li><li>Excellent oral &amp; written communication skills in both Greek &amp; English language</li><li>Computer literacy</li><li>Good organizational and time management skills; Ability to prioritize</li><li>Ability to research, digest, analyze and present data clearly and concisely</li><li>Prior experience in similar position will be considered a plus</li><li>Adaptability, quick response, problem solving, communication skills</li><li>Responsible, pays attention to detail, demonstrates speed and accuracy</li><li>Positive personality, energetic</li><li>Multi-tasking, demonstrating flexibility</li><li>Discretion &amp; confidentiality</li></ul>

Information Security Officer

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

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

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

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

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

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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