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Design and build data pipelines at enterprise scale
Help create a modern, unified data warehouse from the ground up
Take data engineering into its next generation with modern technologies

This is an opportunity to join a globally recognised and stable organisation that is investing heavily in its data capabilities. As the organisation continues to grow, the data environment is evolving to support greater volumes, more complex requirements and a more scalable approach to how data is stored and consumed.

You’ll join an established Data Management team reporting to the Chief Data Officer, with Data Engineers playing a key role in developing the organisation’s data platform. The team is bringing data into a more unified environment, while progressing towards modern technologies including Snowflake and Apache Airflow.

We’re looking for a hands-on Data Engineer with strong experience building and supporting data solutions. Someone who enjoys getting deep into data, solving technical challenges and designing reliable pipelines and data structures, while contributing to the evolution of a large-scale data environment.

You will:

Design, develop and maintain ETL pipelines across multiple source systems
Build and optimise data models and structures within the enterprise data warehouse
Develop robust SQL solutions and ensure data pipelines are reliable, scalable and efficient
Contribute to the evolution of the data platform, including the adoption of modern data engineering technologies

Skills / Experience:

3+ years of experience in Data Engineering;
Strong hands-on experience with SSIS, advanced SQL, data modelling and data warehousing
Experience designing and building a data warehouse, ideally from inception through to production; exposure to Snowflake, Apache Airflow or similar technologies is advantageous

Data Engineer | Data, Scale & Innovation

Job Description