Data Engineer

FIEGE is one of the top ten logistics service providers in Europe with 21,000 employees at more than 150 locations in 14 countries worldwide. As a family-run company, we not only offer you exciting and varied tasks, but also modern workplaces in a trusting environment with motivated teams. Take advantage of our attractive and individual development and career opportunities. Currently, we are looking for an experienced Data Engineer to join our team in the CTO area.In this role, you will be responsible for ensuring the stable and sustainable operation of our data platform. You will take ownership of monitoring, data quality, and automation, define internal standards, and ensure compliance with governance and GDPR requirements.The main goal of this position is to embed technical expertise within the company, enable quick responsiveness, and build a solid foundation for BI and AI applications.

Key responsibilities:

• Development and operation of scalable data pipelines and integration solutions.

• Ensuring the stability, monitoring, and performance of the data platform.

• Automation and standardization of processes (CI/CD, testing, deployment).• Responsibility for data quality, documentation, and lineage in accordance with internal standards.

• Implementation of privacy/security by design and GDPR requirements.

• Close collaboration with data architects on architectural and platform decisions.

• Supporting BI and data science teams by providing reliable data products.

• Continuous optimization and innovation in the areas of cost, efficiency, and scalability.

Your profile:

• Completed studies in computer science, business informatics, data science or a comparable qualification in the IT/data environment.

• Additional certifications in cloud data platforms

• Several years of practical experience in data integration, data modeling and data pipelines.

• Experience in operating and monitoring productive data platforms.

• Experience with enterprise-wide data platforms or complex data landscapes.

• Very good knowledge of programming languages ​​for data engineering.

• Experience with data ETL/ELT frameworks (e.g., Databricks)

• Very good knowledge of SQL and NoSQL databases.

• Ability to build and operate stable, high-performance and scalable data pipelines.

• Ensuring data quality, lineage and documentation.

• Proactive approach to automation and standardization of processes.

• Contribute to architectural and platform decisions together with data architects.

• Strong problem-solving skills in operational data and platform issues.

Nice to have:

• Experience in agile projects (Scrum, Kanban) and DevOps-oriented environments.

• Project experience in organizations with high requirements for data quality, data protection and governance (e.g. finance, transport/logistics, industry).

• Collaboration with data architects, data scientists and BI teams in interdisciplinary projects.

• Experience in monitoring, logging and performance tuning of data pipelines.

• Understanding of Data Governance, GDPR, Privacy & Security by Design.

Personal skills:

• Hands-on mentality and rapid response to operational requirements.

• Team player with close collaboration with BI, AI, and architectural teams.

• Responsible and quality-oriented – high awareness of stability and data protection.

• Proactive, solution-oriented, and detail-oriented.

• Enjoyment of continuously improving sustainability and efficiency in data platforms.

We offer:

• Permanent employment contract and long-term cooperation

• Private medical care

• Sport card co-financing

• Hybrid type of cooperation (minimum 1 day/month for candidates outside Warsaw area)