Data engineer in analytics platforms

Are you ready to shape the backbone of a data‑driven organisation? NewDay are looking for a Data Engineer to help us design, build, and evolve the core pipelines and platforms that power analytics, reporting, and sophisticated data science across our business.

• Developing and improving ingestion and transformation pipelines using technologies such as Spark, Scala, Python, AWS, DBT, and Snowflake
• Owning and improving the organisation's Data Lake environment and data platform. Ensuring it remains robust, scalable, and future‑ready
• Owning ETL processing, table refreshes, defect resolution, and other BAU activities
• Continuously optimising performance through concurrency, multi‑threading, automation, and best‑practice engineering patterns
• Working within Agile delivery frameworks to ship high‑quality, cloud‑native data solutions via CI/CD
• Integrating data from multiple sources and solving sophisticated data challenges with creativity.
• Design and develop modular, reusable scalable and configurable data engineering solutions that adhere to the D.R.Y principle, minimising manual intervention and promote automation.

• Hands-on experience with DBT and Apache Airflow, building scalable data transformations and DAGs to orchestrate complex, reliable data pipelines.
• Manage task dependencies, automated retries and error handling to ensure reliable pipeline execution with minimal manual intervention.
• Engineering experience using Python and SQL, with the ability to solve complex data problems at scale.
• The ability to design and guide modern data engineering solutions, with knowledge of data modelling, ETL/ELT, data warehousing and scalable data pipelines.
• The ability to lead and develop Data Engineers, combining hands-on technical contribution with coaching, technical direction and ownership of delivery.
• An interest in AI and automation, with the technical curiosity to explore how emerging technologies could improve engineering quality, productivity and ways of working.

• Permanent