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- Tasks: Lead and optimise a cutting-edge data platform while mentoring a high-performing team.
- Company: Join a leading tech recruitment consultancy committed to sustainability and innovation.
- Benefits: Competitive salary, 15% bonus, remote work, and career development opportunities.
- Other info: Be part of a dynamic team with a focus on continuous improvement and data governance.
- Why this job: Shape the future of data-driven decisions and make a real impact in a leadership role.
- Qualifications: Hands-on experience in data engineering and strong leadership skills required.
The predicted salary is between 70000 - 70000 £ per year.
Are you ready to take ownership of a data platform and shape how data drives business decisions? This is a rare opportunity to step into a leadership role where you'll combine hands-on data engineering with strategic product management, all while building and mentoring a high-performing team.
You'll play a pivotal role in evolving a modern data platform (Microsoft Fabric / Azure Synapse), ensuring it delivers real business value, scalability, and innovation. If you're passionate about data, leadership, and building robust data solutions, this is one you don't want to miss.
What you'll be doing:
- Own the end-to-end lifecycle of a core data platform, from design and build through to release, optimisation, and retirement.
- Collaborate closely with product owners and data scientists to align platform capabilities with business needs.
- Lead datalake migration initiatives, including consolidation of legacy data, medallion architecture design, schema evolution, and cutover planning.
- Provide hands-on data engineering expertise, building and optimising PySpark pipelines.
- Ensure data is secure, high-quality, accessible, and structured for maximum business value.
- Drive best practice in data governance, cataloguing, lineage, and standards across the organisation.
- Promote data re-use and reduce duplication across systems.
- Oversee ETL processes, data integration, and BI architecture.
- Manage and develop a small, high-performing data team, including mentoring, 1:1s, and continuous improvement initiatives.
- Work closely with stakeholders across operations, analytics, and reporting teams.
- Ensure compliance with data protection regulations and internal policies.
What you'll bring:
- Strong hands-on experience in data engineering, including PySpark and production data pipelines.
- Experience with Microsoft Fabric, Azure Synapse, or similar platforms (e.g. Databricks, AWS).
- Proven ability to design and manage scalable data pipelines, models, and schemas.
- Solid SQL and relational database expertise.
- Experience with datalake migration concepts (medallion architecture, incremental loads, backfill, cutover).
- Strong understanding of data governance, quality, and lifecycle management.
- Experience with BI tools such as Power BI or Tableau.
- Knowledge of DevOps practices (Git, Azure DevOps, CI/CD pipelines).
- Strong Python skills and experience with APIs/data integration tools.
- Understanding of data protection regulations.
- Leadership experience with the ability to mentor and develop teams.
- Excellent communication, problem-solving, and stakeholder management skills.
Desirable: Experience with project management methodologies, SDLC tools, and awareness of emerging data trends.
If you've held any of these roles or used these technologies/skills, this role could be a great fit: Data Product Manager, Data Engineering Lead, Lead Data Engineer, Azure Data Engineer, Data Platform Manager, Analytics Engineering Manager, Cloud Data Engineer, BI & Data Lead, PySpark Engineer, Databricks Engineer, Head of Data Engineering.
Data Platform Manager in Luton employer: Deerfoot Recruitment Solutions Ltd
Contact Detail:
Deerfoot Recruitment Solutions Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Platform Manager in Luton
✨Tip Number 1
Network like a pro! Reach out to your connections in the data field and let them know you're on the hunt for a Data Platform Manager role. You never know who might have the inside scoop on an opportunity or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your hands-on experience with data engineering, especially with tools like PySpark and Azure Synapse. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your leadership and mentoring experiences. Be ready to discuss how you've built high-performing teams and driven data governance best practices in previous roles.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Platform Manager in Luton
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data Platform Manager role. Highlight your hands-on data engineering experience and any leadership roles you've held. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data and how your background aligns with our needs. Don’t forget to mention your experience with Microsoft Fabric or Azure Synapse, as we’re keen on those skills.
Showcase Your Projects: If you've worked on relevant projects, make sure to include them in your application. Whether it's building data pipelines or leading a team, we love to see concrete examples of your work and how it’s made an impact.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be one step closer to joining our awesome team at StudySmarter!
How to prepare for a job interview at Deerfoot Recruitment Solutions Ltd
✨Know Your Data Inside Out
Make sure you’re well-versed in the specifics of data engineering, especially with tools like PySpark and Azure Synapse. Brush up on your experience with data pipelines and be ready to discuss how you've optimised them in past roles.
✨Showcase Your Leadership Skills
Since this role involves managing a high-performing team, prepare examples of how you've successfully led teams before. Think about mentoring experiences and how you’ve driven continuous improvement initiatives.
✨Align with Business Needs
Be prepared to discuss how you’ve collaborated with product owners and data scientists in the past. Highlight specific projects where you aligned data platform capabilities with business objectives to deliver real value.
✨Understand Data Governance
Familiarise yourself with best practices in data governance and compliance. Be ready to talk about how you’ve ensured data quality and security in previous roles, as well as your understanding of data protection regulations.