Senior Data Engineer with German / M
Inetum · Warsaw, Poland · full-time · Remote · today
Why a CV for this job?
- They see what they asked for, first. Your experience that matches the ad leads, in the ad's own words, so someone skimming finds it in seconds.
- It gets past the software. Many larger employers use software that ranks CVs by how closely they match the ad, often before anyone reads them.
- In the language of the ad. An ad written in Spanish gets a CV in Spanish, even when yours is in Portuguese.
- Your facts, nothing invented. Your own experience, reordered and reworded. What the ad wants and your CV does not show is listed for you to add, only if it is true. You check it before you send it.
Job Description
We are seeking a skilled and experienced Senior Data Engineer to join our team. The candidate will have a strong background in designing and developing data pipelines using Databricks, as well as extensive experience with PySpark and SQL. This role requires a professional who can work independently in a senior, client-facing capacity and is fluent in German to communicate directly with client stakeholders.
Must have 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 have requirements:
- 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.
Main tasks:
- 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.
Additional Information
This position allows for remote work for candidates based in Poland.
Thank you for your interest in our offer. We will contact selected candidates whose experience best matches the requirements of the role.
Additional Information
We hereby inform you that Inetum Polska sp. z o.o. has implemented an internal reporting (whistleblowing) procedure. The content of the procedure and the possibility to submit an internal report are available at:
https://inetum.whispli.com/speakup?locale=pl
- Employer
- Inetum
- Location
- Warsaw, Poland · Remote
- Contract
- full-time