At a Glance
- Tasks: Manage and optimise a cutting-edge data platform while leading a dynamic team.
- Company: Join New Look, a forward-thinking retailer with a modern tech stack.
- Benefits: Enjoy 40% staff discount, healthcare options, and extra leave on your birthday.
- Other info: Great career growth opportunities and a supportive workplace culture.
- Why this job: Make an impact in data operations and enhance your tech skills in a collaborative environment.
- Qualifications: 4+ years in Databricks, strong Python and SQL skills, and cloud data architecture experience.
The predicted salary is between 50000 - 65000 £ per year.
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:
- Overseeing the daily operations of data platforms, including setting up new development tools and infrastructure.
- Implementing and managing security measures to protect data from unauthorized access and to ensure it remains consistent and compliant with policies.
- Monitoring platform components for performance, availability, and cost, and implementing automation to improve efficiency and scalability.
- Developing and managing backup and recovery solutions to protect against data loss or corruption.
- Providing support to development teams to help deploy and manage services and applications on the platform.
- Working with other IT professionals, developers, and system administrators to optimize performance and meet business needs.
Who you are:
- 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).
What's in it for you:
- 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.
Associate Data Operations Engineer (London or Weymouth) employer: New Look
New Look is an exceptional employer, offering a dynamic work environment in London or Weymouth where innovation meets collaboration. With a strong focus on employee growth, we provide extensive benefits including a generous staff discount, healthcare options, and opportunities for professional development, all while fostering a culture that celebrates individual contributions and promotes work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Associate Data Operations Engineer (London or Weymouth)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or any projects, make sure to highlight them during interviews. It’s a great way to demonstrate your expertise in Databricks and Python.
✨Tip Number 3
Prepare for those tricky questions! Brush up on your knowledge of data engineering concepts and security best practices. We want to see how you think on your feet!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are keen to join us directly.
We think you need these skills to ace Associate Data Operations Engineer (London or Weymouth)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Associate Data Operations Engineer role. Highlight your experience with Databricks, Azure, and any relevant coding skills in Python and SQL. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data operations and how your skills can contribute to our team. Keep it concise but engaging – we love a good story!
Showcase Your Problem-Solving Skills:In your application, don’t forget to mention specific examples of how you've tackled challenges in data management or engineering. We’re keen on seeing your problem-solving abilities in action, so share those success stories!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team at StudySmarter!
How to prepare for a job interview at New Look
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Databricks, Spark, and Azure. Brush up on your Python and SQL skills, as these will likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex data engineering challenges. Think about how you’ve optimised performance or implemented security measures in past roles, as this will demonstrate your hands-on experience.
✨Understand the Business Needs
Familiarise yourself with how data operations support business objectives. Be ready to discuss how you can collaborate with other teams to meet those needs, showing that you understand the bigger picture beyond just the technical aspects.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, current projects, and future goals of the data platform. This not only shows your interest but also helps you gauge if the company culture aligns with your values.
