Data Engineer

Project overview

Westhouse is one of the leading recruitment companies for the placement of highly qualified specialists from the entire IT lifecycle and engineering sector.

We are currently looking for a

Data Engineer

Framework Information

Reference:180462

Responsibilities

Interested?

Interested? We look forward to receiving your meaningful CV in electronic form.

Your Contact Person:

Tobias Gollmann

*@*.com

*

• You will conceptualize and develop robust ETL and ELT pipelines that reliably bring data from webshops, ERP, merchandise management, CRM, and stores into our Lakehouse.
• You will design data models according to Data Vault 2.0 (Hubs, Links, Satellites) and the layers in the Lakehouse (e.g., Medallion architecture) and ensure data quality, monitoring, and governance.
• You will design scalable and robust platform architectures for Data & AI and continuously develop them together with our team.
• You will provision cloud infrastructure automatically with Infrastructure as Code (e.g., Terraform, Bicep) and set up CI/CD processes for data pipelines.
• You will make architectural decisions and define reusable blueprints, standards, and best practices.
• You will ensure that the platform is optimally positioned in terms of performance, security, governance, and scalability.

Project details

Bad Homburg (coordination meetings) and Remote

Start Date:02.11.2026 (ASAP)

Working Hours:Full-time (100%)

31.03.2026 + Option

Languages:German, English

Your Qualifications

• Several years of project experience as a Data Engineer, ideally also as a freelancer
• Sound experience with ETL/ELT processes, Data Lakes, Data Warehouses, and Lakehouse architectures (e.g., Medallion architecture)
• Sound practical experience in data modeling with Data Vault 2.0, ideally including automation (e.g., with dbt or comparable tools), as well as knowledge of dimensional modeling
• Very good knowledge of a cloud platform, ideally Microsoft Azure
• Practical experience with technologies in the Data & AI environment such as Databricks, Microsoft Fabric, or Azure Data Factory
• Confident handling of Python and SQL; Spark or PySpark are familiar to you, Scala is a plus
• Experience with Infrastructure as Code (e.g., Terraform, Bicep, ARM) as well as with APIs and automation
• Good understanding of scalable, secure, and maintainable system architectures as well as data quality and governance
• Structured, self-reliant way of working and the ability to quickly familiarize yourself with new system landscapes
• Very good German and good English skills
• Start: 2026-11
• Duration: 5 Monate
• Location: DE
• Languages: German