NewDay

Data engineer in analytics platforms

In short

This role designs, builds, and evolves core data pipelines and platforms powering analytics, reporting, and data science at NewDay. It requires hands-on expertise with DBT, Apache Airflow, Spark, Python, SQL, AWS, Snowflake, and ETL/ELT data engineering, plus leading and coaching other Data Engineers. The position combines deep technical delivery with team leadership in a hybrid London setup.

About the Role
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.
Responsibilities
•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
•Designing and developing modular, reusable, scalable and configurable data engineering solutions that adhere to the D.R.Y principle, minimising manual intervention and promoting automation
Requirements
•Hands-on experience with DBT and Apache Airflow, building scalable data transformations and DAGs to orchestrate complex, reliable data pipelines
•Ability to 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
•Ability to design and guide modern data engineering solutions, with knowledge of data modelling, ETL/ELT, data warehousing and scalable data pipelines
•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
Conditions
•Permanent position

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