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

Data Engineer

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

The&nbsp;Solution Designer&nbsp;will be joining the software development team of Risk Management Domain of Alpha Bank IT Digital Services &amp; Data Analytics Division. You will be responsible for designing and overseeing the implementation of software solutions that meet the business requirements in areas such as Risk Management, Capital Management, MIS, ALM etc.&nbsp;You will work closely with cross functional IT teams and stakeholders to define architecture, guide development teams &amp; vendors, and ensure the successful delivery of projects. What you will be doing&nbsp;<ul><li>Collaborate with cross functional teams to understand their business objectives and technical requirements.</li><li>Understand and review the business and application requirements and define the solution requirements, ensuring they are consistent with the Bank’s IT strategy and practices.</li><li>Create High-Level technical solution design and produce relevant documentation.</li><li>Coordinate and consolidate High-Level Estimations, based on the high-level business requirements.</li><li>Participate in projects estimation and planning, providing technical input and helping the team set realistic goals and timelines.</li><li>Collaborate with Project Manager to create project milestone planning.</li><li>Cooperate with software engineers, data engineers, system engineers, and business analysts to implement effective and efficient software or data management solutions applying DevOps methods and iterative delivery.</li><li>Assess the impact of changes and enhancements on the existing architecture.</li><li> </li></ul> What you need to have&nbsp;<ul><li>BSc in Computer Science, Information Systems, Engineering, or any other related discipline.</li><li>Understanding of software engineering principles and best practices for building modular and maintainable systems.</li><li>Experience in designing scalable and resilient systems that meet performance, security, and reliability requirements.</li><li>Experience in DevOps and Agile methods and practices, familiarity with data modelling techniques, database design, optimization, and query tuning.</li><li>Familiarity with one or more RDBMS like Microsoft SQL Server, Oracle, PostgreSQL.</li><li>Familiarity with architectural patterns like SOA (Service-Oriented Architecture), microservices design patterns, message brokers (e.g., Apache Kafka) and integration frameworks (e.g., Apache Camel).</li><li>Prior experience in a banking environment will be considered an asset.</li></ul>What we offer&nbsp;It’s all about our people. At Alpha Bank, you will enjoy:&nbsp;<ul><li>A friendly and collaborative working environment that supports taking initiative and action.</li><li>A culture that centers around learning and continuous development and encourages everyone to bring their best self to work.</li><li>The opportunity to challenge your thinking through your participation in complex tasks and transformation projects.</li><li>Being part of a large organization with a leading role in the Greek economy and a strong presence in the community.</li><li>Flexible working options.</li><li>A competitive salary and benefits.</li></ul>&nbsp;All applications will be acknowledged and treated in utmost confidence.

Solution Architect

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

Senior Palantir Data Engineer

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 Security Engineer with demonstrated expertise across enterprise security engineering, Microsoft Azure and on-premises infrastructure protection, incident response, and compliance frameworks including ISO 27001:2022 and CMMC. This role requires hands-on technical execution alongside architectural oversight — you will design and operate security controls, drive threat detection capabilities, and own compliance program delivery end-to-end. Security operations must align with NATO cybersecurity standards and requirements.Key Responsibilities<ul><li>Security Engineering &amp; Architecture</li></ul>Design and operationalize enterprise security controls spanning network, endpoint, cloud, and application layers. Lead security architecture reviews for new systems and infrastructure. Implement Zero Trust architectures, network segmentation, IAM, MFA, and least-privilege access models across Microsoft Azure and on-premises/local resource environments. Ensure security configurations align with NATO security standards and requirements.<ul><li>Threat Detection &amp; Incident Response</li></ul>Develop and tune SIEM detection logic, correlation rules, and alerting pipelines. Lead investigation and containment of security incidents including phishing, malware, unauthorized access, and data exfiltration. Own post-incident reviews, root cause analysis, and remediation tracking. Perform digital forensics as required.<ul><li>Vulnerability Management</li></ul>Operate vulnerability scanning programs using tools such as Nessus, Qualys, or Tenable. Conduct risk assessments, prioritize findings by exploitability and business impact, and drive remediation with IT and DevOps teams. Track patching cadence and configuration hardening progress.<ul><li>DevSecOps &amp; Automation</li></ul>Integrate security controls into CI/CD pipelines. Develop automation using Python, Bash, PowerShell, or Terraform for security operations, alerting, and remediation workflows. Implement secrets management, SAST/DAST scanning, and container security controls.<ul><li>CMMC &amp; ISO 27001:2022 Compliance</li></ul>Lead implementation and operational alignment with ISO 27001:2022, including Annex A control mapping, ISMS policy and procedure ownership, internal and external audit coordination, and management reviews. Support CMMC assessment readiness, including control gap analysis, evidence collection, corrective action tracking, and continuous improvement activities. Ensure ongoing compliance with applicable regulatory, contractual, NATO, and customer cybersecurity requirements.<ul><li>Technical Leadership</li></ul>Mentor junior engineers and analysts. Provide technical leadership across security projects and incident response efforts. Collaborate cross-functionally with Engineering, IT, Product, and Leadership on security-by-design initiatives. Work closely with IT and external consultants to achieve security targets and program objectives.Required Qualifications&nbsp;<ul><li>5+ years in cybersecurity engineering or security operations roles</li><li>Strong proficiency in network security fundamentals: firewalls, IDS/IPS, VPN, DNS, TCP/IP</li><li>Hands-on experience with SIEM platforms (Splunk, Microsoft Sentinel, QRadar, or Elastic)</li><li>Deep knowledge of Windows, Linux, Active Directory, Microsoft Azure, and local on-premises infrastructure security</li><li>Practical experience with vulnerability management tools (Nessus, Qualys, or Tenable)</li><li>Demonstrated experience implementing or auditing ISO 27001 ISMS frameworks</li><li>Working knowledge of CMMC or equivalent cybersecurity maturity frameworks</li><li>Familiarity with NATO cybersecurity standards and information security requirements</li><li>Scripting proficiency in Python, PowerShell, or Bash</li><li>Experience with IAM, MFA, SSO, and RBAC implementations</li><li>Strong analytical reasoning and documented written communication skills</li></ul>

Θέσεις Εργασίας Data Analyst Στερεά Ελλάδα, Πληροφορική - Σελίδα 2

data engineer

Elpen

senior data engineer

Metlen

solution architect

Alpha Bank

senior palantir data engineer

EPAM Global

solutions architect

NΤT Data

senior security engineer

THEON International

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