Senior Data Engineer – Fixed term contract (ANÜ) – Berlin / Hybrid
Urgent hire – interviews happening immediately

Overview
A platform engineering team is building a new backend data layer to guarantee data availability and power internal analytics for customer account managers. After a period of significant change, the team is expanding to meet fast-growing demand. They are seeking a Senior Data Engineer to partner closely on data modeling and pipeline development.

Why this role
You will help design and implement the foundation for a high-performance analytical platform. Your work will enable fast, reliable queries across large datasets and directly support internal applications used by account managers worldwide.

Key Responsibilities

• Model and build data structures optimised for fast analytical queries (star-schema / OLAP).

• Design, develop, and maintain batch data pipelines to move and transform large datasets.

• Define targets and implement efficient batch processing workflows.

• Collaborate with stakeholders to understand requirements and clearly explain technical concepts.

• Ensure data quality, integrity, and security while optimising performance and scalability.

• Troubleshoot and resolve pipeline or processing issues.

Required Skills

• Spark SQL expertise for large-scale data processing (primary tool).

• Strong background in batch processing and target definition.

• Competent Python programming skills.

• Clear communicator, comfortable engaging with technical and non-technical stakeholders.

• Understanding of ETL/ELT paradigms and data modeling principles.

Nice to Have

• Experience with streaming data and event-driven architectures (Kafka or similar).

• Background in software engineering for long-term platform development.

• Familiarity with OLAP engines or columnar databases such as ClickHouse.

Contract Details

• Work setup: Hybrid, with ability to be in Berlin 1-2 days per week strongly preferred.

• Start: As soon as possible.

Interview Process

1. Panel Interview – broad discussion of background and experience.

2. Technical Interview – deep dive into data engineering and Spark SQL expertise.

3. Final Interview (if required) – to address any remaining questions.

Darwin Recruitment is acting as an Employment Business in relation to this vacancy.

Alex Hevey