Data Engineer

We're looking for a skilled Data Engineer to help shape the future of data within a leading organisation. This is an exciting opportunity to contribute to building a product led engineering team that delivers lasting impact.

This is not an analytics focused role, it's about engineering excellence, Python first development, and operating data platforms in a production environment. If you're motivated by solving complex engineering problems, driving best practice, and working in a business cultivating a robust in-house team, this role could be the next step for you.

Data Engineer Responsibilities:

• Design, build, and optimise data pipelines in Python, PySpark, SparkSQL, and Databricks.
• Ingest, transform, and enrich structured, semi structured, and unstructured data.
• Operate and support production grade data systems with strong observability and monitoring.
• Enable Real Time and batch data processing for analytics and business applications.
• Collaborate with Product Managers, Data Architects, and Analysts in Agile squads.
• Embed best practice engineering principles and contribute to a culture of continuous improvement.

• Strong experience with Python-based data engineering and SQL.
• Background in software engineering with experience running systems in production.
• Knowledge of observability, monitoring, and performance optimisation.
• Experience with cloud data platforms (Azure preferred).
• Exposure to streaming and event-driven data pipelines is advantageous.
• Ability to work independently without heavy coaching or mentoring.
• Comfortable working in an Agile, product-led environment.

Generous pension scheme (up to 7% matched). 15% retail discount (in-store and online). Comprehensive healthcare and wellbeing support, including virtual GP, counselling, and cash plans. Inclusion networks and supportive culture. Professional development opportunities as part of a growing in-house engineering team.