Senior Data Engineer

1 week ago

Great Work England, United Kingdom Xcede Full time £80,000 - £120,000 per year

Senior Data Engineer (Distributed Data Processing)
UK (O/IR35), Belgium, Netherlands or Germany (B2B)
*Fully Remote*
We're looking for a Senior Data Engineer to join a data-intensive SaaS platform operating in a complex, regulated industry.

This is a hands-on senior IC role focused on distributed data processing, Spark-based pipelines, and Python-heavy engineering. You'll be working on large-scale batch data workflows that power pricing, forecasting, and operational decision-making systems.

The role requires strong engineering judgement, the ability to operate autonomously, and the confidence to mentor others while delivering under tight timelines.
**This is not an ML, Data Science, or GenAI role.

What You'll Be Doing**

•    Design, build, and evolve large-scale distributed data pipelines using Spark / PySpark.


•    Develop production-grade Python data workflows that implement complex business logic.


•    Work with Databricks for job execution, orchestration, and optimisation.


•    Own and optimise cloud-based data infrastructure (AWS preferred, Azure also relevant).


•    Optimise data workloads for performance, reliability, and cost.


•    Collaborate with engineers, domain specialists, and delivery teams on client-facing projects.


•    Take ownership of technical initiatives and lead by example within the team.


•    Support and mentor other engineers.
Must-Have Experience

•    Proven experience as a Senior Data Engineer.


•    Strong Python software engineering foundation.


•    Hands-on Spark experience in production (PySpark essential).


•    Real-world experience using Databricks for data pipelines (Spark depth matters most).


•    Experience with large-scale or parallel data processing.


•    Ownership of cloud infrastructure (AWS and/or Azure).


•    Comfortable operating with senior-level autonomy and responsibility.


•    Experience mentoring or supporting other engineers.
Nice-to-Have Experience

•    Experience working with time-series data.


•    Background in utilities, energy, or other data-heavy regulated industries.


•    Exposure to streaming technologies (Kafka, event-driven systems), though the role is primarily batch-focused.

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