FTSE100 Company

Join a small, collaborative team with big impact.
Bring ideas to life using modern tech like Databricks and AWS.
Flexible hybrid working and strong support from leadership.

We’re working with a well-established organisation that’s on an exciting journey to bring more of their data capability in-house — and this is a rare chance to get in at the start of something transformative.What you’ll be doing:As the new Senior Data Engineer, you’ll play a key role in building modern, scalable pipelines and platforms that will enable the business to make smarter decisions, faster. You’ll be part of a small but highly capable core data engineering team, within a wider, strong data & insight function. This is a role for someone who’s curious, proactive, and keen to get stuck in — you’ll have plenty of ownership, and your voice will absolutely be heard.Working closely with the Data Engineering Lead, you’ll help design, build and maintain cloud-based data pipelines and architecture. The business is moving towards a tight-knit, fully internal team — so you’ll be a big part of shaping that change.You’ll lead by example when it comes to data engineering and problem-solving. This would mean improving existing pipelines, building new ones from scratch, helping shape best practices, mentoring more junior engineers, or exploring the latest tools and tech.The team are using Databricks and AWS and they’re keen for someone who’s worked across data warehouse architecture, orchestration tools like Airflow, and configuration-driven development. You’ll also work closely with analysts, scientists and other business teams, so you’ll need to be able to explain complex technical concepts in a clear, concise way and comfortable working in a crss functional team.What experience you’ll need to apply:

Excellent experience as a Senior Data Engineer, with some experience mentoring others
Excellent Python and SQL skills, with hands-on experience building pipelines in Spark (PySpark preferred)
Experience with cloud platforms (AWS/Azure)
Solid understanding of data architecture, modelling, and ETL/ELT pipelines
Experience using tools like Databricks, Redshift, Snowflake, or similar
Comfortable working with APIs, CLIs, and orchestration tools like Airflow
Confident using Git and familiar with CI/CD processes (Azure DevOps or similar)
Experience working in an Agile environment
A proactive mindset — you ask questions, think critically, and enjoy working things out collaboratively

What you’ll get in return:A salary of between £55,000–£65,000 per annum, within a hybrid working environment (ideally 3 days in their Bristol office), plus a discretionary bonus and strong pension.What’s next?Apply with your updated CV, and we’ll review your application as soon as possible to set up a call and chat through the role in more detail! If you’ve got any questions in the meantime, feel free to drop Tegan an email.

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