Data Engineer

Designing, building, and optimising scalable data pipelines that support analytics, reporting, and operational use cases. You will play a key role in shaping the organisation's data architecture, ensuring data is reliable, accessible, and performant across multiple systems, while helping to manage a team of junior data engineers., * Mentor junior data engineers and support their technical development, while promoting best practices in their coding, testing, and deployment.

• Design and implement robust, scalable data pipelines (batch and real-time) to ingest, transform, and load data from multiple sources
• Build and maintain ETL/ELT processes to support analytics and BI platforms
• Identify and reuse existing data flows where appropriate to improve efficiency and reduce duplication
• Ensure data pipelines are fault-tolerant, observable, and maintainable
• Lead the development of streaming data solutions for real-time data processing
• Design and implement data models optimised for analytics workloads (e.g. star/snowflake schemas)
• Work with modern data warehouse platforms (e.g. Snowflake, BigQuery, Redshift or similar)
• Identify bottlenecks and implement improvements across storage, compute, and transformation layers
• Ensure efficient handling of large-scale datasets
• Lead work on database design, optimisation, and maintenance
• Ensure data integrity, security, and governance standards are met

• Previous experience mentoring junior engineers is a must-have
• Strong experience with Python or Scala for data processing
• Advanced SQL skills with experience handling large datasets
• Experience building and maintaining ETL/ELT pipelines in production environments
• Hands-on experience with workflow orchestration tools (e.g. Airflow)