Hybrid Data Engineer: Build Scalable Pipelines & Platforms

Michael Bailey Associates GmbH; Randstad; Hybrid; EUR 65,000 - 90,000; Full time

Job summary

Michael Bailey Associates GmbH is seeking an enthusiastic Data Engineer to join an international team building a modern data platform. You will work across Data, Software, Platform and DevOps to deliver scalable pipelines and data products.

You will collaborate with cross-functional engineers, own parts of the data pipeline, and have freedom to experiment with new tools, approaches and ideas, with hybrid work in the Randstad region.

Qualifications

• 4+ years of Data Engineering experience.
• Experience with ETL/ELT and data modelling.
• Experience with Azure, AWS or GCP.
• You enjoy taking ownership, solving problems and figuring things out.

Responsibilities

• Building and optimizing scalable data pipelines with Python & SQL.
• Data modelling, warehousing and integration.
• CI/CD, automation and data quality.
• Contributing to architecture and technical decisions.
• Working closely with engineers across different competencies.

Skills

Data engineering experience

Cloud platforms

Tools

Azure / AWS / GCP

PySpark / Databricks

Job description

Michael Bailey Associates GmbH is seeking an enthusiastic Data Engineer to join an international team building a modern data platform. You will work across Data, Software, Platform and DevOps to deliver scalable pipelines and data products.

You will collaborate with cross-functional engineers, own parts of the data pipeline, and have freedom to experiment with new tools, approaches and ideas, with hybrid work in the Randstad region.