Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the migration to a modern Databricks platform and build scalable data pipelines.
- Company: Join Primark, a forward-thinking fashion retailer with a focus on innovation.
- Benefits: Enjoy healthcare, pension, 27 days leave, fitness perks, and a subsidised cafeteria.
- Other info: Be part of an inclusive culture that values diversity and personal growth.
- Why this job: Make a real impact by driving data solutions in a dynamic retail environment.
- Qualifications: Expertise in Databricks, SQL, and strong leadership skills required.
The predicted salary is between 70000 - 90000 £ per year.
We are seeking a hands-on Data Platform & Engineering Lead to drive Primark’s migration from Teradata to a modern Databricks Lakehouse environment. You will establish and lead a high-performing data engineering function, define platform strategy, and deliver scalable, secure data pipelines. The ideal candidate combines deep technical expertise (SQL, Python/PySpark, Databricks) with strong leadership capability.
What You’ll Get:
- Healthcare, pension, and potential bonus.
- 27 days of leave, plus bank holidays and the option to buy 5 more.
- Tax Saver Tickets, fitness centre, and a subsidised cafeteria.
What You’ll Do as a Data Platform & Engineering Lead:
- Lead the end-to-end migration from Teradata to a cloud-native Databricks platform, ensuring performance, governance, and scalability.
- Design and implement scalable data pipelines and ETL/ELT workflows using Databricks, Python/PySpark, and advanced SQL.
- Architect and maintain medallion/lakehouse data models (bronze/silver/gold).
- Build and mentor a data engineering team, defining coding standards, best practices, and delivery processes.
- Collaborate cross-functionally with analytics, data science, and business teams to deliver high-quality data solutions.
What You’ll Bring:
- Strong hands-on expertise in Databricks and Spark (including Delta Lake and Databricks SQL), advanced SQL, and migration of enterprise workloads from Teradata to modern cloud platforms.
- Experience delivering and operating scalable data platforms on Azure (Data Lake, Data Factory, Unity Catalog desirable), with a strong focus on performance, reliability, and data quality.
- Proven technical leader, guiding architecture and engineering standards while leading internal and third-party teams in agile, fast-paced environments.
- Demonstrated ability to translate data platform and engineering outcomes into measurable commercial value, including cost optimisation, faster insights, and improved business performance.
- Product- and value-driven mindset, managing data platforms as products through roadmapping, service levels, adoption, and value-based backlog prioritisation aligned to OKRs/KPIs.
- Strong commercial acumen and problem-solving capability, with experience in cloud cost and performance optimisation (FinOps) and stakeholder decision support.
- Collaborative and inspirational leader with retail experience, known for coaching teams, driving continuous improvement, and building a high-performance learning culture aligned to Primark values.
Our fashion isn’t one-size-fits-all and neither is our culture. Primark promotes equal employment opportunity; we strive to create an inclusive workplace where people can be themselves, access opportunities, and thrive together.
Data Platform & Engineering Lead employer: Primark Stores Limited
Contact Detail:
Primark Stores Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Platform & Engineering Lead
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the data space. Building relationships can open doors that job applications alone can't.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your projects, especially those involving Databricks, SQL, and Python. This gives potential employers a taste of what you can bring to the table.
✨Ace the Interview
Prepare for interviews by brushing up on common technical questions related to data engineering and cloud platforms. Practice explaining your thought process clearly, as communication is key in collaborative environments like Primark.
✨Apply Through Our Website
Make sure to apply directly through our website! It not only shows your interest but also helps us track your application better. Plus, you’ll get the latest updates on openings and company news.
We think you need these skills to ace Data Platform & Engineering Lead
Some tips for your application 🫡
Show Your Technical Skills: Make sure to highlight your hands-on experience with Databricks, SQL, and Python/PySpark. We want to see how your technical expertise aligns with our needs for a modern data platform.
Demonstrate Leadership Experience: Since this role involves building and mentoring a team, share examples of your leadership style and how you've successfully guided teams in the past. We love to see collaborative and inspirational leaders!
Tailor Your Application: Don’t just send a generic application! Tailor your CV and cover letter to reflect how your experience matches the specific requirements of the Data Platform & Engineering Lead role. We appreciate when candidates take the time to connect their skills to our needs.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Primark Stores Limited
✨Know Your Tech Inside Out
Make sure you brush up on your SQL, Python/PySpark, and Databricks skills. Be ready to discuss specific projects where you've used these technologies, especially in migrating data platforms. The more you can demonstrate your hands-on experience, the better!
✨Showcase Your Leadership Skills
As a Data Platform & Engineering Lead, you'll need to lead a team effectively. Prepare examples of how you've built and mentored teams in the past. Highlight your approach to defining coding standards and best practices, as well as how you've fostered a high-performance culture.
✨Understand the Business Impact
Be prepared to discuss how your technical decisions have translated into measurable business outcomes. Think about instances where you've optimised costs or improved performance, and be ready to share those stories. This shows you understand the commercial side of data engineering.
✨Collaborate and Communicate
Since this role involves cross-functional collaboration, think of examples where you've worked with analytics, data science, or business teams. Emphasise your communication skills and how you've ensured everyone is aligned towards common goals. This will show you're not just a tech whiz but also a team player.