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- Tasks: Lead and optimise a cutting-edge data platform while mentoring a high-performing team.
- Company: Join a forward-thinking company that values innovation and collaboration.
- Benefits: Competitive salary, 15% bonus, remote work, and comprehensive benefits.
- Other info: Exciting opportunity for career growth in a dynamic environment.
- Why this job: Shape the future of data-driven decisions and make a real impact.
- Qualifications: Hands-on experience in data engineering and 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.
Data Platform Manager in England employer: Deerfoot Recruitment Solutions Limited
Contact Detail:
Deerfoot Recruitment Solutions Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Platform Manager in England
✨Tip Number 1
Network like a pro! Reach out to people 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 dream job.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to data platforms. We recommend doing mock interviews with friends or using online resources to boost your confidence and refine your answers.
✨Tip Number 3
Showcase your skills through projects or a portfolio. If you’ve worked on any data engineering projects, make sure to highlight them. We love seeing real-world applications of your expertise!
✨Tip Number 4
Apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate candidates who are ready to take ownership of their roles.
We think you need these skills to ace Data Platform Manager in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Data Platform Manager role. Highlight your hands-on experience with data engineering and any relevant projects you've led. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data and leadership, and explain why you're excited about this opportunity at StudySmarter. Let us know how you can contribute to our team and the data platform.
Showcase Relevant Experience: When filling out your application, be sure to showcase your experience with Microsoft Fabric, Azure Synapse, or similar platforms. We love seeing specific examples of how you've designed and managed scalable data pipelines!
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about StudySmarter and our culture.
How to prepare for a job interview at Deerfoot Recruitment Solutions Limited
✨Know Your Data Inside Out
Make sure you’re well-versed in the specifics of data engineering, especially with PySpark and Microsoft Fabric. Brush up on your knowledge of data pipelines, ETL processes, and governance practices. Being able to discuss these topics confidently will show that you’re not just familiar with the tools, but you understand how they drive business value.
✨Showcase Your Leadership Skills
Since this role involves managing a high-performing team, be prepared to share examples of how you've successfully led teams in the past. Talk about your mentoring style, how you handle 1:1s, and any continuous improvement initiatives you've implemented. This will demonstrate your capability to lead and develop others.
✨Align with Business Needs
Understand the company’s business objectives and be ready to discuss how you can align the data platform capabilities with those needs. Think about how you would approach collaboration with product owners and data scientists to ensure the platform delivers real business value. This shows you’re strategic and not just focused on the technical side.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems related to data migration or pipeline optimisation. Practice articulating your thought process clearly and logically. This will help interviewers see your problem-solving skills in action and how you approach challenges in a structured way.