Data Engineer
Summary
Data Engineer role at a UK energy-sector company, responsible for designing scalable data pipelines, building ETL/ELT processes, and developing data models using SQL, Python, and open-source frameworks like Spark, Kafka, Airflow, or Dagster.
Data Engineer | London (3 days onsite) | £75,000 - £85,000
Peaple Talent are working exclusively with an innovative organisation in the UK energy sector that's investing heavily in its data platform and looking to hire a Data Engineer.
This is a fantastic opportunity to join a growing engineering team where you'll design and build scalable data pipelines, develop ETL/ELT processes, create robust data models, and help shape the future of the company's cloud data platform.
What you'll be doing:
- Design, develop and maintain data ingestion pipelines using open-source frameworks and tools
- Build and optimise ETL and ELT processes for small to large-scale data processing requirements
- Collaborate with stakeholders, analysts, engineers and product teams to understand data requirements and translate them into robust data solutions
You'll ideally have:
- Strong SQL and Python (Pandas, NumPy or Spark)
- Experience with open-source data processing and orchestration frameworks such as Apache Spark, Apache Kafka, Apache Airflow or Dagster
- Experience building and optimising data pipelines
- Knowledge of AI tools
- A passion for building scalable, high-quality data solutions
- Experience in the UK Energy Sector
What's in it for you?
Location: London (3 days a week onsite)