Backend Engineer - Java

The Data Infrastructure PA enables the company to solve complex and critical data engineering problems by providing platforms and tooling for the production, management, and consumption of high-quality data. We're looking for an engineer to support hands-on implementation and migration work as we evolve our data processing stack.

This is a high impact and execution-focused engagement — you'll be contributing to company wide migration efforts and platform development.

What You'll Work On
You'll be embedded in a team in Data Infrastructure PA, contributing to hands-on engineering work. This includes large-scale pipeline migrations — validating performance and cost outcomes and helping move workloads to our evolving stack — as well as contributing to platform development across our Flink platform, Lakehouse architecture and beyond, as our priorities evolve.

What We're Looking For
You have solid, hands-on experience in backend engineering and are comfortable jumping into an existing platform codebase and making meaningful contributions quickly.

Specifically:
Strong Java development skills, with experience in data platform or data engineering contexts
Practical experience with at least one JVM-based data processing framework — Flink experience is a plus; Beam, Dataflow, or Spark also relevant
Comfortable with SQL and cloud data analytics platforms, particularly BigQuery
DevOps is part of your day-to-day: you work with cloud infrastructure, containerised applications, and are familiar with Kubernetes basics
Experience working with data engineering pipelines in Scala and/or Python
You write quality code and understand what it means to ship reliably in a production environment
You can work autonomously in an ambiguous environment and move quickly without waiting to be directed

Nice to Have
Prior experience with large-scale pipeline migrations
Familiarity with cost optimisation in cloud data processing workloads

Job Posting Start Date:   2026-05-18
Job Posting End Date:   2026-11-27