Associate Data Operations Engineer (London or Weymouth)

Whitechapel Rd, London E1 1EW, UK

Posted Thursday 28 May 2026 at 01:00

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 is a senior role focused on the overall management, security, and performance of the Enterprise Data Platform stack including Azure Databricks platform, reporting services and supporting infrastructure. Key responsibilities include leading a team, managing users and access, ensuring security and compliance, and automating administrative tasks while collaborating with data teams to meet business needs. The role requires a strong understanding of data engineering concepts, access control, security best practices like data encryption and secret management, and the ability to monitor and troubleshoot the platform.

• Management and maintenance: Overseeing the daily operations of data platforms, including setting up new development tools and infrastructure.
• Security: Implementing and managing security measures to protect data from unauthorized access and to ensure it remains consistent and compliant with policies.
• Performance and optimization: Monitoring platform components for performance, availability, and cost, and implementing automation to improve efficiency and scalability.
• Backup and recovery: Developing and managing backup and recovery solutions to protect against data loss or corruption.
• Technical support: Providing support to development teams to help deploy and manage services and applications on the platform.
• Collaboration: Working with other IT professionals, developers, and system administrators to optimize performance and meet business needs.

• 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
• 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