Python Engineer Data Domains

You’ll shape the architecture of data products built for analytics and data science, working on use cases like forecasting, feature engineering, customer behaviour insights, and integrating new data sources.

You’ll lead how we transform data, setting best practices in data modelling, performance optimisation, and governance to ensure data across Prima is consistent, reliable, and readily available.

You’ll build reusable tooling and frameworks that empower teams to ingest, store, transform, and serve their own data products with confidence.

You’ll partner closely with data scientists and machine learning engineers, helping refine data requirements and elevate the overall data infrastructure.

You’ll stay curious and keep evolving, experimenting with new technologies, exploring open-source tools, and engaging with the broader community to keep us at the cutting edge.

You’re a Data Engineer or Software Engineer who enjoys working with data with strong Python expertise, and you take pride in writing clean, reliable, production-grade code based in solid software engineering best practices.

You’ve built and operated batch and distributed data processing systems, as well as near real-time streaming pipelines using technologies like Kafka, Flink, or Spark. If you’ve worked with Databricks, is a big plus!

You’re comfortable working with RDBMS and data warehousing, and you understand how to design data models that actually serve business needs.

You care about quality and reliability. You’ve worked with CI/CD and testing practices for data pipelines, and you’re familiar with contributing to infrastructure-as-code setups (Terraform or CloudFormation).

And last but not least, you thrive in a culture of ownership and collaboration, jumping in beyond your scope to move things forward, and having fun along the way.