At a Glance
- Tasks: Manage and optimise a modern Enterprise Data Platform while leading a dynamic team.
- Company: Join New Look, a forward-thinking retailer with a focus on innovation.
- Benefits: Enjoy 40% staff discount, private healthcare, and extra leave on your birthday.
- Other info: Collaborative environment with excellent career growth and development opportunities.
- Why this job: Be at the forefront of data engineering and make a real impact in retail.
- Qualifications: 4+ years in Databricks, strong Python and SQL skills, and cloud architecture knowledge.
The predicted salary is between 60000 - 75000 £ 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:
- Leading a team, managing users and access, ensuring security and compliance, and automating administrative tasks while collaborating with data teams to meet business needs.
- 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.
- 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.
Associate Data Operations Engineer (London or Weymouth) employer: New Look
New Look is an exceptional employer that fosters a collaborative and innovative work culture, particularly for the Associate Data Operations Engineer role in London or Weymouth. With a strong focus on employee growth, we offer extensive benefits including a generous staff discount, private medical scheme, and opportunities for professional development within our cutting-edge Enterprise Data Platform environment. Join us to be part of a team that values your contributions and supports your career aspirations while enjoying a healthy 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, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to Databricks and Azure. This gives potential employers a taste of what you can do beyond just your CV.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering concepts and tools. Practice explaining your past experiences and how they relate to the role at New Look. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
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 reflects the skills and experiences that match the Associate Data Operations Engineer role. Highlight your expertise in Databricks, Python, and SQL, and don’t forget to mention any relevant projects or achievements!
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 background makes you a perfect fit for our team. Keep it concise but engaging!
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled challenges in data management or engineering. We love seeing candidates who can think critically and come up with innovative solutions!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets to us quickly and efficiently. Plus, you’ll find all the details you need about the role there!
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, Azure, and SQL. Brush up on your knowledge of data engineering concepts and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples that highlight your problem-solving abilities, particularly in troubleshooting and optimising data platforms. Think of specific challenges you've faced and how you overcame them, as this will demonstrate your hands-on experience.
✨Understand Security Best Practices
Since security is a key responsibility, be prepared to discuss your understanding of data encryption, access control, and compliance measures. Familiarise yourself with best practices and be ready to share how you've implemented these in previous roles.
✨Collaboration is Key
This role involves working closely with various teams, so be ready to talk about your experience collaborating with IT professionals and developers. Highlight any successful projects where teamwork played a crucial role in achieving business goals.
