THE ROLE: New Look is operating a modern Enterprise Data Platform stack — including a Databricks-based lakehouse architecture, Amperity for Customer Data Platform (CDP) enrichment, Power BI for enterprise analytics with InfoRiver writeback extension and SAP Business Objects for self-service reporting. This role will lead a delivery squad, shaping and implementing robust data solutions aligned with business requirements. The Lead Data Engineer provides hands-on technical delivery, strategic project alignment, team coordination and guides junior team members in the building of scalable pipelines, report models and industrialised data science model feeds. WHATS IN IT FOR YOU: 40% staff discount plus friends & family discounts throughout the year Access to our reward platform for external discount and offers Private pension scheme Profit related bonus scheme Option to join our Healthcare Private Medical Scheme Virtual GP access for you and your children – it allows you to speak to a doctor at a time and date that suits you All employees are covered by our life assurance policy from day one Unlock extra leave with our buy more holiday scheme. Celebrate YOU! Enjoy an extra paid day off on your birthday each year Enhanced maternity, paternity and adoption leave, and shared parental leave (eligible after 2 years service) Spread the cost of your commute with interest-free season ticket loans Do your bit for the environment and save money with our Cycle2Work scheme We're proud to partner with the Retail Trust and Fashion & Textile Children's Trust WHAT YOU’LL BE DOING: Fulfil the tech lead role over multiple delivery squads, ensuring the data engineering patterns are adhered to across squads and providing consistency across technical delivery of data initiatives. Coordinate technical solutions and manage team efforts Translate functional designs into scalable technical solutions leveraging and building reusable assets. Collaborate with solution designers and business analysts to refine user needs and technical solutions. Build and test high-performance ELT pipeline patterns in Databricks. Teaching and upskilling the team, creating development plans. Mentor junior engineers within the squad and broader team and champion best practice. Ensure quality, reliability, and documentation of deliverables from the squad through peer reviews. Option to support the on-call support for the platform, which would require additional effort outside office hours as required to fulfil duties WHO YOU ARE: Experience in team management and strategic project alignment. Expertise in Databricks, Spark, and cloud data architecture preferably on Azure (4 years). Strong coding ability in Python and SQL. Experience in orchestration with Azure Data Factory and Databricks Workflows. Understanding of Lakehouse and modern data engineering and data warehousing principles. Understanding of data modelling, ETL/ELT, and testing frameworks. Familiarity with CI/CD, version control, and DevOps practices. Strong problem-solving and debugging skills. Knowledge of security, data governance, and cost optimisation practices. A degree in IT or related business topic (desirable)