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- Tasks: Lead and optimise a cutting-edge data platform while mentoring a high-performing team.
- Company: Join Deerfoot Recruitment Solutions, a leading tech consultancy with a commitment to sustainability.
- Benefits: Competitive salary, 15% bonus, remote work, and opportunities for professional growth.
- Other info: Be part of a dynamic team that values innovation and career development.
- Why this job: Shape the future of data-driven decisions and make a real impact in a leadership role.
- Qualifications: Strong experience in data engineering, particularly with PySpark and cloud platforms.
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.
Data Platform Manager in Luton employer: Deerfoot Recruitment Solutions
Contact Detail:
Deerfoot Recruitment Solutions 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 folks in your industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Data Platform Manager role.
✨Tip Number 2
Prepare for those interviews by brushing up on your technical skills and leadership experience. We recommend practising common interview questions related to data engineering and team management so you can showcase your expertise confidently.
✨Tip Number 3
Don’t forget to highlight your hands-on experience with Microsoft Fabric and Azure Synapse during interviews. We want to see how you can bring real business value through your knowledge of these platforms!
✨Tip Number 4
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—so go ahead and take that step!
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. We love seeing enthusiasm and a clear understanding of the role, so let your personality come through!
Showcase Relevant Projects: If you've worked on projects involving Microsoft Fabric, Azure Synapse, or similar platforms, make sure to mention them. We’re keen to see examples of your work, especially those that demonstrate your ability to manage scalable data pipelines and lead teams.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people. Don’t miss out on this opportunity!
How to prepare for a job interview at Deerfoot Recruitment Solutions
✨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 knowledge of data governance and lifecycle management, as these are crucial for the role.
✨Showcase Your Leadership Skills
Prepare examples that highlight your experience in managing and mentoring teams. Discuss how you've driven best practices in previous roles and how you plan to develop a high-performing team in this position.
✨Align with Business Needs
Be ready to discuss how you’ve collaborated with product owners and data scientists in the past. Think about specific instances where you aligned platform capabilities with business objectives and be prepared to share those stories.
✨Demonstrate Problem-Solving Abilities
Expect questions that test your problem-solving skills, especially around data migration and ETL processes. Prepare to walk through your thought process on how you would tackle common challenges in data platform management.