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- Tasks: Lead a data platform, combining engineering and product management to drive business decisions.
- Company: Join a forward-thinking company focused on data innovation and team development.
- Benefits: Competitive salary, 15% bonus, remote work, and opportunities for professional growth.
- Other info: Contribute to charity with every CV sent and explore referral rewards.
- Why this job: Shape the future of data solutions while mentoring a high-performing team.
- Qualifications: Hands-on 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.
- 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 is required. Experience with Microsoft Fabric, Azure Synapse, or similar platforms (e.g. Databricks, AWS) is essential. Proven ability to design and manage scalable data pipelines, models, and schemas is necessary, along with solid SQL and relational database expertise.
Strong understanding of data governance, quality, and lifecycle management is important. Experience with BI tools such as Power BI or Tableau is beneficial. Knowledge of DevOps practices (Git, Azure DevOps, CI/CD pipelines) is also required. Strong Python skills and experience with APIs/data integration tools are necessary, as well as an understanding of data protection regulations.
Experience with project management methodologies, SDLC tools, and awareness of emerging data trends will be advantageous.
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 Intelligence and Loyalty 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 Intelligence and Loyalty 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 Intelligence and Loyalty Manager in Luton
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your hands-on data engineering experience and any leadership roles you've had, as these are key for us.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data and how you can contribute to our team. Share specific examples of your past successes in data management and team leadership.
Showcase Relevant Projects: If you've worked on projects involving Microsoft Fabric, Azure Synapse, or similar platforms, make sure to include them. We love seeing real-world applications of your skills!
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 this exciting opportunity!
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. Prepare to discuss your hands-on experience with these tools and how you've used them to drive business value.
✨Showcase Your Leadership Skills
Since this role involves managing a high-performing team, be ready 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 foster continuous improvement within your team.
✨Align with Business Needs
Demonstrate your understanding of how data platforms can align with business objectives. Prepare to discuss how you've collaborated with product owners and data scientists to ensure that data solutions meet organisational needs and drive innovation.
✨Emphasise Data Governance Knowledge
Data governance is crucial for this role, so be prepared to discuss your experience with data quality, compliance, and lifecycle management. Share specific examples of how you've driven best practices in data governance and ensured data security in your previous roles.