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Job Description

Location: Hybrid in South West London - 2 days a week

Employment: Permanent

My client is a forward-thinking digital organisation undergoing a major data and analytics transformation. They are investing heavily in modernising their cloud data platform and are now looking for an experienced Senior Data Engineer to help build next- data warehouses and enable advanced analytics across several business areas, including sustainability, finance, regulatory operations and wider corporate functions.

The Role

As a Senior Data Engineer, you will play a key role in designing, delivering and optimising cloud- data solutions. You’ll work closely with cross-functional teams, architects, and analysts to deliver high-performing data products that support operational decision-making and future innovation.

This is an opportunity to influence data strategy, shape engineering best practice, introduce automation, and help the business adopt modern data tooling and generative-AI-enabled analytics.

What You’ll Be Doing

Designing, developing and supporting scalable, cloud-based data pipelines and warehouse solutions. Working with stakeholders to understand business needs and translate them into effective technical solutions. Building high-quality reporting and analytics capabilities with a focus on performance, scalability, and intuitive self-service. Driving automation across CI/CD, testing, orchestration, and ETL/ELT workflows. Experimenting with new ideas, tools and approaches to enhance the data engineering offering. Owning and supporting critical data products, including incident response and platform health monitoring. Collaborating early on major initiatives, influencing architectural direction and contributing to proofs of concept. Championing best practices, engineering standards, and a modern approach to data delivery.

Skills & Experience Needed

Strong background in data engineering, especially within AWS environments. Hands-on experience with services such as S3, Redshift, and other AWS data ecosystem tools. Familiarity with modern data stack tools: Airflow, dbt, Airbyte (or similar). Proficient in building automated pipelines, CI/CD, and applying software development best practices to data engineering. Strong performance-tuning, optimisation and troubleshooting experience. Experience with BI/reporting tools such as Power BI or QuickSight. Excellent communication skills, with the ability to influence cross-functional stakeholders.

Why This Role?

Join a business actively modernising its data landscape. High visibility across senior stakeholders and architects. Play a pivotal role in shaping next- analytics and self-service capabilities. Opportunity to drive innovation, automation and best practice across the data engineering function.

**Please note, our client unfortunately cannot sponsor visas at this time**

If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.