Data Engineer (Python | Databricks | AWS)
London (Victoria) – Hybrid (4 days onsite)
Competitive Salary + Bonus
Build a Data Platform From Scratch in One of the Fastest-Growing Industries
We’re working with a major UK energy business that’s completely rebuilding its data platform and they’re hiring engineers who want to be part of that journey.
This is a rare opportunity to step into a true greenfield environment where you’re not fixing legacy systems, you’re building something modern from day one using AWS + Databricks.
The business is scaling fast, investing heavily in data, and laying the foundations for AI / GenAI, meaning the work you do now will directly shape what comes next.
* Greenfield build – no legacy headaches
* Real impact – your work supports live trading & operations
* Learn a new domain – break into energy & trading (no prior experience needed)
* Future-proof – get exposure to AI-driven data platforms
* Fast growth – business expanding rapidly across Europe
Responsibilities
* Building scalable data pipelines using Python & PySpark
* Developing ETL/ELT workflows in Databricks (AWS)
* Working with complex, high-value datasets (trading, ops, assets)
* Improving data quality, performance, and reliability
* Collaborating with BI and business teams
* Onboarding new data sources and systems as the business grows
Tech stack
* Python
* PySpark
* Databricks
* AWS (S3, Kinesis, Lambda)
* Delta Lake
* SQL
* Spark
Requirements
* 2–4 years in Data Engineering
* Strong Python + exposure to Spark / Databricks
* AWS/ Azure
* Experience building data pipelines
No energy or trading experience needed - you’ll learn it here.
Apply now or message me directly!