Senior Data Engineer (Weymouth based)

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., * Fulfil the tech lead role in a delivery squad, owning the technical delivery of data initiatives.

• 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 pipelines in Databricks.
• 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., We care about you and the planet and believe fashion should be a force for positive change. We celebrate inclusion and diversity in everything we do. We're proud of our inclusive culture and our talented team members who embrace our shared purpose, behaviours and values.

We prioritise development, offering training to support your progression, so you can be your absolute best and achieve your goals.

We pride ourselves on being a flexible employer, our colleagues work a range of patterns. If you have a specific pattern in mind, we're keen to discuss this with you in line with the output needed for the role.

Please ensure that your CV is in simple format e.g. Microsoft Word when applying using your CV to ensure smooth application process

Do you have experience in Spark?, * 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)

• 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