What you'll do
- Contribute to design, development, and evolution of data platform in Microsoft Azure Cloud environment
- Participate across full project lifecycle from requirements gathering to production rollout
- Participate in technical workshops to review and validate data solutions
- Design, build, test, and optimize ETL processes aligned with data architectures
- Provide technical guidance and mentor junior Data Engineers
- Collaborate with Project Managers and Business Analysts to translate business needs into data solutions
- Contribute to task estimation and resource planning
- Maintain and enhance reporting schemas and SQL-based data warehouse systems
- Define and promote best practices and optimization techniques for Corporate Data Warehouse
- Monitor and support daily Data Warehouse flows and data pipelines for stability and performance
Key requirements
- 5+ years' experience
- Data Engineering and Data Warehousing Concepts including ETL and dimensional modeling
- Microsoft Azure Cloud technologies including Azure Data Factory, Databricks, Azure Synapse Analytics, and Azure Dedicated SQL Pool
- Big Data Concepts and NoSQL Databases
- SQL-based Data Warehouse Systems
- Source Control Tools and versioning practices
- English Language proficiency
- Computer Science / Mathematics / Statistics
Benefits
- Competitive remuneration package, Ticket Restaurant Card, Group Health Insurance Plan, Preferential household electricity plan, Pension Plan
About the job
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.
Your role will encompass:
Participate in technical workshops with Data Architects to review and validate proposed data solutions.
Design, build, test, and optimize ETL processes in alignment with defined data architectures.
Provide technical guidance within the Data Engineering team and mentor junior Data Engineers.
Collaborate with Project Managers and Business Analysts to translate business requirements into scalable data solutions.
Contribute to task estimation and resource planning for new business demands.
Maintain and enhance reporting schemas and internal SQL-based data warehouse systems.
Define and promote best practices, standards, and optimization techniques to enhance the Corporate Data Warehouse.
Monitor and support daily Data Warehouse flows and data pipelines to ensure stability and performance.
What you bring to the role:
BSc or MSc degree in Computer Science, Mathematics, Statistics, or a related technical field.
+5 years of experience in Data Engineering, Business Intelligence, or a related role.
Strong knowledge of data warehousing concepts (ETL, staging/target areas, OLAP, dimensional modeling, data marts).
Experience with Azure Data Factory and Databricks will be considered an asset.
Experience with Azure Synapse Analytics or Azure Dedicated SQL Pool will be considered an asset.
Familiarity with Big Data concepts and NoSQL databases (e.g., Azure Cosmos DB, MongoDB) will be considered a plus.
Experience with source control tools, code repositories, versioning practices, and branch development.
Proficiency in English (written and spoken).
Previous experience in DWH/BI projects, ideally within the energy, metals, or retail sectors, will be considered a plus.
Value-Based Behaviors:
People & Personal Growth
Results Orientation & Safety Excellence
Collaboration & Trust
Empathy & Effective Communication
Flexibility & Adaptability
Your Benefits:
Competitive remuneration package
Ticket Restaurant Card
Group Health Insurance Plan
Preferential household electricity plan
Pension Plan



