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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 66500 - 80500 £ 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 Watford 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 Watford
✨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 dream job.
✨Tip Number 2
Prepare for those 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 personal projects or contributions to open-source. We love seeing candidates who take initiative and demonstrate their expertise in real-world applications, especially with tools like PySpark or Azure Synapse.
✨Tip Number 4
Don’t forget to apply through our website! We make it super easy for you to submit your application and keep track of your progress. Plus, it shows us you’re genuinely interested in joining our team!
We think you need these skills to ace Data Platform Manager in Watford
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data Platform Manager role. Highlight your hands-on data engineering experience and any leadership roles you've had, as we want to see how you can drive our data initiatives.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data and leadership. Share specific examples of how you've shaped data platforms in the past and how you envision doing the same with us at StudySmarter.
Showcase Your Technical Skills: Don’t forget to mention your experience with Microsoft Fabric, Azure Synapse, and PySpark. We’re looking for someone who can hit the ground running, so make sure these skills stand out in your application.
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 don’t miss out on any important updates from our team!
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 instances 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 Abilities
Expect questions that test your problem-solving skills, especially around data governance and lifecycle management. Have examples ready that showcase your analytical thinking and how you’ve tackled challenges in previous projects.