Data Engineer / Analytics Engineer (Contract) Location: Frankfurt or Remote (Europe)
Contract: 12 months B2B
Start: April (flexible for the right profile)
Overview We’re hiring hands-on Data Engineers / Analytics Engineers to build and migrate modern data platforms. This is not a legacy support role and not a Power BI / Power Query shop.
The focus is code-first data engineering: pipelines, transformations, orchestration, and scalable analytics infrastructure. You’ll be working with a technically strong lead who provides clear direction and context.
If you like building things properly, avoiding vendor lock-in, and treating analytics engineering like software engineering, this will suit you.
Key Responsibilities
  • Design and build data pipelines and transformation layers
  • Implement code-first analytics workflows (no low-code / GUI-heavy tooling)
  • Develop and manage transformations using SQL-first approaches
  • Contribute to new platform builds or migrations to modern architectures
  • Work with orchestration frameworks to schedule and manage workloads
  • Use Git, CLI-based tooling, and engineering best practices
  • Collaborate in a small, senior team with clear technical ownership
Mandatory Skills
  • Strong SQL (non-negotiable)
  • Solid data engineering fundamentals
  • Experience working in code-driven analytics environments
  • Comfort with Git-based workflows and version control
  • Experience with at least one cloud platform (Azure, GCP, AWS — flexible)
Highly Desirable
  • Python (strong preference)
  • DBT (or equivalent transformation frameworks)
  • Orchestration tools such as Airflow
  • Experience with BigQuery / Dataflow / Dataform or similar modern tooling
  • PySpark experience is a plus, but usage should be confirmed per project
  • Background in aviation or travel (nice to have, not essential)

This role exists to build, modernise, and scale, not babysit legacy systems.
Working Style & Environment
  • Mac-first / BYOD environment (no Windows-only toolchains)
  • Strong preference for CLI, Python-style tooling, and reproducible builds
  • Engineering-led decision-making, not dashboard-driven politics
  • Small, focused team
Contract Details
  • 12-month B2B contract
  • Frankfurt-based or fully remote within Europe
  • Competitive day rate aligned with senior-level engineering profiles
Who This Suits This is ideal for:
  • Senior Data Engineers or Analytics Engineers who hate low-code
  • Builders who want to leave something solid behind
  • Engineers who value portability, clean architecture, and ownership