We’re partnering with a fast‑scaling data‑driven organisation to find a Data Engineer for their core data platform team — the function responsible for building, optimising, and maintaining the pipelines that power analytics and product decisions across the business. This is a hands‑on engineering role with real ownership over the full data stack, from pipeline architecture to data quality — operating in a distributed cloud environment alongside developers, analysts, and data scientists. What you’ll own: Designing, building, and operationalising scalable, reliable data pipelines on cloud infrastructure Assembling large, complex datasets that meet both functional and non‑functional business requirements Managing database architecture — logical modelling, physical optimisation, and security Implementing data quality checks to ensure ongoing pipeline integrity across systems Partnering with Data and Analytics teams to expand functionality and resolve blockers Providing on‑call support and triaging issues by severity to unblock downstream users You bring: Proven experience engineering and operationalising data pipelines with large, complex datasets Strong background working with unstructured data (JSON) and advanced SQL Proficiency in Python and PySpark Hands‑on experience transforming data using Databricks Git and CI/CD familiarity Self‑directed work style; comfortable supporting multiple teams, systems, and products simultaneously Nice to have: Power BI or equivalent visualisation tool experience Interested or know someone who fits? Apply! #J-18808-Ljbffr