Data Engineer

An established and forward-thinking organisation is seeking a talented Data Engineer to join its growing Data & Analytics function. This is an exciting opportunity to play a key role in the evolution of a modern data platform, supporting advanced analytics and AI initiatives. Working within a collaborative engineering team, the successful candidate will design, build and optimise scalable data solutions that enable informed decision-making across the business. The Role The Data Engineer will be responsible for developing and maintaining robust data pipelines and architectures, ensuring high standards of performance, quality and governance. You will contribute to the ongoing enhancement of the data platform, helping to shape best practice and drive innovation. Key responsibilities include: Designing and developing scalable data pipelines and data models Building and maintaining cloud-based data infrastructure Implementing data quality, validation and monitoring processes Troubleshooting and optimising existing pipelines and datasets Working closely with cross-functional stakeholders to translate business requirements into technical solutions Supporting continuous improvement through automation and best engineering practices Participating in Agile delivery processes, including code reviews and sprint ceremonies Exploring emerging technologies and contributing to proof-of-concept initiatives About You To be considered, you should have: Proven experience in a Data Engineering role Strong proficiency in SQL, Python and Spark (PySpark) Experience designing data models and implementing reliable pipeline patterns Knowledge of orchestration tools such as Airflow Experience with low-code or no-code integration tools Hands-on experience with cloud platforms (AWS preferred), including services for storage, transformation and warehousing Experience interacting with APIs and cloud services programmatically Experience building and maintaining cloud data warehouses (e.g. Redshift, Snowflake or Databricks) Familiarity with Git-based source control Experience working in an Agile delivery environment Strong analytical and problem-solving skills The ability to communicate technical concepts clearly to non-technical audiences Desirable experience includes cloud certifications, Infrastructure as Code (e.g. Terraform), dbt, or Databricks.