Come and join the green side!
What you do
We are looking for a Senior Data Engineer (5–8 years) who combines strong hands-on data engineering skills with a consulting and client-facing mindset. In this role, you will work directly with clients to design, build, and evolve modern data platforms that deliver measurable business value.
You will be responsible for the end-to-end data lifecycle — from discovery and architecture to implementation and optimization — while acting as a trusted technical partner for client teams.
A summary of your responsibilities:
- Design, build, and operate scalable data platforms in hybrid cloud environments, supporting batch and real-time use cases.
- Develop and maintain reliable ETL/ELT pipelines using Python, PySpark, and modern orchestration tools within a Microsoft-first ecosystem.
- Lead technical discovery and design sessions with clients: gather requirements, challenge assumptions, and translate business needs into sustainable data solutions.
- Implement data quality, governance, and lineage practices to ensure trustworthy and compliant data.
- Design and optimize data models (DWH, semantic layers) and ensure efficient data storage and query performance.
- Collaborate closely with client stakeholders, Data Scientists, Analysts, and Engineers, clearly explaining architectural decisions and trade-offs.