Backend Data Engineer — Data Platform

Devire IT Outsourcing is a form of cooperation dedicated to IT specialists, based on a business-to-business (B2B) model, delivering projects for clients running innovative and modern initiatives.

For our client, a consulting and technology company specializing in digital transformation, software engineering, cloud, and data, we are looking for a person for the position of Backend Data Engineer — Data Platform:

• 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

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.

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.

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