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 cross-functional team.
What experience you’ll need to apply: