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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 data engineering experience and strong leadership skills.
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 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
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in a data role. Building relationships can open doors that job applications alone can't.
✨Show Off Your Skills
Don’t just tell them what you can do; show them! Create a portfolio of your projects or contributions to open-source work. This gives potential employers a tangible sense of your capabilities and passion for data.
✨Ace the Interview
Prepare for interviews by practising common questions and scenarios related to data engineering and management. Be ready to discuss your hands-on experience with tools like PySpark and Azure Synapse, and how you've led teams to success.
✨Apply Through Our Website
We encourage you to apply directly through our website! It not only shows your interest but also helps us track your application better. Plus, it’s a great way to stay updated on any new opportunities that pop up.
We think you need these skills to ace Data Platform Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Data Platform Manager. 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! Use it to tell us why you're passionate about data and leadership. Share specific examples of how you've driven business value through data solutions, and don't forget to mention your experience with Microsoft Fabric or Azure Synapse.
Showcase Your Team Leadership: Since this role involves managing a high-performing team, make sure to highlight your leadership experience. Talk about how you've mentored others and fostered a collaborative environment. We love seeing candidates who can inspire and develop their teams!
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 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 Azure Synapse. 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 importance of aligning data platform capabilities with business objectives. Be ready to discuss how you’ve collaborated with product owners and data scientists in previous roles. Highlight any specific projects where your input directly influenced business decisions or outcomes.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions during your interview. Prepare to answer questions about data architecture, schema evolution, and migration strategies. Practising common scenarios or challenges you’ve faced in data engineering will help you articulate your problem-solving skills effectively.