Senior Data Engineer with German / M

Inetum Polska

1d • Remote

About The Position

Inetum Polska is seeking a skilled and experienced Senior Data Engineer to design and develop data pipelines using Databricks, PySpark, and SQL. The role involves working independently in a senior, client-facing capacity and communicating directly with client stakeholders in German. Candidates based in Poland may work remotely.

The position focuses on building reusable, governed data products; integrating and transforming data from SAP systems; and supporting data modelling, source-to-target mapping, and data-quality controls. The engineer will work with business, data, and platform stakeholders to translate requirements into technical solutions, contribute to Git-based development and CI/CD processes, document implementations, and support knowledge transfer.

Requirements

• Strong commercial experience with Databricks.
• Advanced PySpark and SQL skills.
• Experience designing and implementing production-grade data pipelines.
• Experience building governed data products.
• Practical knowledge of Unity Catalog and data-governance principles.
• Experience integrating SAP or other complex enterprise source systems.
• Experience working with Azure or AWS data-platform environments.
• Git and CI/CD experience.
• Ability to work independently in a senior, client-facing role.
• Professional German enabling direct communication with client stakeholders.
• Strong professional English and Polish.

Nice To Haves

• Knowledge of SAP data models or SAP S/4HANA.
• Experience with Terraform or other infrastructure-as-code tools.
• Data-quality, lineage, and observability experience.
• Experience working in industrial manufacturing or machinery.
• Previous experience delivering data products in a federated or domain-oriented model.

Responsibilities

• Design and develop data pipelines in Databricks.
• Build and maintain reusable data products.
• Implement data governance and cataloguing using Unity Catalog.
• Integrate and transform data originating from SAP systems.
• Develop solutions using PySpark and SQL.
• Support source-to-target mapping, data modelling, and data-quality controls.
• Work with business, data, and platform stakeholders to translate requirements into technical implementation.
• Contribute to Git-based development, testing, deployment, and CI/CD processes.
• Document implemented solutions and support knowledge transfer.

Benefits

• Cafeteria system with a choice of benefits.
• Referral bonuses of up to PLN 6,000.
• Additional revenue-sharing opportunities for initiating partnerships with new clients.
• Dedicated Team Manager guidance.
• Tailored technical mentoring from an assigned technical leader.
• Team-building budget for online and on-site team events.
• Opportunities to participate in charitable initiatives and local sports programs.
• Supportive and inclusive work culture emphasizing diversity and mutual respect.
• Training, certifications, and technology conference participation are fully funded.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed