Are you the kind of engineer who loves solving tricky data problems, automating the boring stuff, and making things run faster and smarter? This role puts you right in the middle of a cloud-first data environment where you'll have the freedom to design, build and optimise pipelines, bring systems together, and use DevOps to keep everything running smoothly.

This isn't a back-office role - what you build here helps drive decision-making across the business. If you want a chance to work with modern tools, push your Python skills further, and grow alongside a team that values fresh thinking, this could be a great fit.

What you'll get to do

• Build and maintain data pipelines that are efficient, scalable, and reliable.
• Create system integrations that keep data accurate, secure and moving where it needs to go.
• Apply DevOps practices - CI/CD, automation, monitoring, testing - to improve speed and reliability.
• Work hands-on with cloud services (AWS preferred) across storage, compute and analytics.
• Collaborate with product, data and platform teams to deliver high-impact solutions.
• Continuously improve - whether it's code, tooling, or processes.

What we're looking for

• Experience as a data engineer (or similar technical role) with a strong grasp of data flows and integrations.
• Solid Python skills - comfortable writing scripts for automation, data processing and pipelines.
• Background in cloud platforms (ideally AWS) and modern data tooling (Airflow, dlt, or similar).
• Familiarity with DevOps tools & practices: Docker, Git, CI/CD pipelines, monitoring solutions like Datadog or Grafana.
• Strong SQL knowledge and exposure to both relational and NoSQL databases.
• Bonus points if you've worked with data warehouses such as Redshift.

Why join?

• Flexible working arrangements to fit around your life.
• Ongoing learning opportunities and access to training platforms.
• A leadership team that values experimentation, collaboration and growth.
• Programs to support wellbeing, recognition and career progression.

If you're excited about making data flow seamlessly, enjoy bridging the gap between engineering and DevOps, and want to work somewhere that actually invests in your growth - hit apply.