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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 with a focus on innovation and career development.
- 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.
Data Platform Manager in Bedford 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 Bedford
✨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 directly 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 Bedford
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 platforms like Microsoft Fabric or Azure Synapse. 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 in the past. We love a good story!
Showcase Your Technical Skills: Don’t hold back on showcasing your technical expertise! Mention your experience with PySpark, SQL, and any BI tools you’ve used. We’re keen to see how you’ve built and optimised data pipelines, so make it clear!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any updates. Plus, it’s super easy to do!
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 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 team, prepare examples of how you've successfully led and mentored others. Think about specific situations where you’ve driven team performance or improved processes.
✨Align with Business Needs
Be prepared to discuss how you’ve collaborated with product owners and data scientists in the past. Highlight your understanding of aligning data platform capabilities with business objectives and how that has driven value.
✨Demonstrate Your Problem-Solving Skills
Expect questions that test your problem-solving abilities, especially around data governance and lifecycle management. Have examples ready that showcase your analytical thinking and how you’ve tackled challenges in previous projects.