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- Tasks: Lead a data platform, combining engineering and product management to drive business decisions.
- Company: Join a forward-thinking company that values innovation and teamwork.
- Benefits: Competitive salary, 15% bonus, remote work, and opportunities for professional growth.
- Other info: Contribute to charity with every CV sent and enjoy referral rewards.
- Why this job: Shape the future of data solutions while mentoring a high-performing team.
- Qualifications: Hands-on experience in data engineering, especially 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.
- 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.
- Ensure compliance with data protection regulations and internal policies.
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. 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. 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.
For every CV sent to clients, we donate £1 to The Born Free Foundation. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details.
Data and Intelligence 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 and Intelligence Manager in Luton
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your data projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to data engineering and management. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed, and who knows, you might just land that dream job with us!
We think you need these skills to ace Data and Intelligence Manager in Luton
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the job description. Highlight your experience with data platforms, especially Microsoft Fabric and Azure Synapse, and showcase your hands-on data engineering skills. We want to see how you can bring real business value!
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 built and optimised data solutions in the past. We love a good story that connects your experience to our needs.
Showcase Your Team Leadership Skills: Since this role involves managing a high-performing team, make sure to highlight your mentoring and team development experiences. We’re looking for someone who can inspire and lead, so share any relevant examples that demonstrate your leadership style.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy to do!
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 and the technologies mentioned in the job description, like PySpark and Azure Synapse. Brush up on your SQL skills and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Leadership Skills
Since this role involves managing a team, be prepared to share examples of how you've successfully led teams in the past. Talk about your mentoring style and any initiatives you've implemented to improve team performance.
✨Align with Business Needs
Understand how data drives business decisions and be ready to discuss how you’ve aligned data platform capabilities with business objectives in previous roles. This shows that you can think strategically while also being hands-on.
✨Prepare for Technical Questions
Expect technical questions related to data governance, ETL processes, and BI architecture. Practise explaining complex concepts in simple terms, as you may need to communicate these ideas to non-technical stakeholders.