At a Glance
- Tasks: Lead data engineering projects and mentor a talented team in a dynamic retail analytics environment.
- Company: Join a premier global data and analytics powerhouse transforming retail insights.
- Benefits: Competitive salary, performance bonuses, hybrid work, and premium healthcare benefits.
- Other info: Immediate start with excellent career growth and professional development opportunities.
- Why this job: Shape the future of retail analytics and make impactful decisions with cutting-edge technology.
- Qualifications: Expertise in Azure, Databricks, and data architecture with leadership experience.
The predicted salary is between 80000 - 100000 £ per year.
Shaping the Future of Retail Analytics & Strategy
Ready to step into a high-impact technical leadership role and shape the data roadmap for a global retail analytics platform? Want to move past standard data pipelines and architect a scalable, enterprise-grade reporting portal accessed by internal business leaders and global external suppliers? Looking for an urgent permanent move where your mentoring skills and Azure/Databricks expertise will directly influence business-critical decisions?
We are partnering with a premier global data and analytics powerhouse that is currently transforming how the retail industry leverages insights. They are entering a pivotal phase of enhancing their core reporting portal, a platform that acts as the single source of truth for both internal business users and external suppliers.
As a Lead Data Engineer based out of their Leeds office, you will provide the technical leadership, strategic vision, and architectural direction needed to elevate this platform to the next level.
The Role
This role blends deep hands-on technical excellence with strategic data leadership. Rather than just executing tasks, your focus will be on owning the data roadmap, establishing future reporting strategy, and ensuring information delivery through the platform is seamless, insightful, and highly performant.
You will:
- Provide technical leadership and mentor a talented team of data engineers, driving delivery standards, best practices, and engineering health.
- Own the design and enhancement of a high-profile reporting portal, optimizing how insights and data-driven decision-making tools are delivered to stakeholders.
- Architect scalable data pipelines and robust integration solutions using Azure, Databricks, and SQL Server.
- Collaborate closely with business stakeholders to translate complex requirements into clean, scalable conceptual, logical, and physical data models.
- Drive automation, testing strategies, and CI/CD pipelines to ensure enterprise-grade stability across both batch and real-time integration solutions.
What we’re looking for:
- Deep Technical Expertise: A strong background in data engineering and data architecture, with mastery over Azure (ADF), Databricks (PySpark/Spark SQL), and SQL Server.
- Leadership & Mentorship: Proven experience guiding, coaching, and mentoring engineering teams (ideally 3-5+ years in a management or lead capacity).
- Data Modeling & Warehousing: Solid understanding of major data architecture philosophies (Dimensional, ODS, Data Vault) and experience with enterprise-scale data modeling tools.
- Reporting & BI Savvy: A strong grasp of modern BI environments (Power BI, SSRS, Tableau) to support the portal’s embedded analytics layer.
- Consultative Mindset: The ability to interact with senior stakeholders, gain clarity on a broader data roadmap, and align technical strategy with product goals.
Right to Work: You must already be fully eligible to work in the United Kingdom (sponsorship is not available for this role).
What’s on offer:
- Compensation: Competitive salary up to £85k, plus a generous performance bonus.
- Flexibility: A balanced hybrid working model requiring 2-3 days a week in the Leeds office.
- Immediate Impact: A permanent role with an urgent start date to hit the ground running.
- Premium Benefits: Comprehensive private healthcare, critical illness life assurance (4x annual salary), income protection, and a rewarding pension scheme.
- Perks & Lifestyle: Employee Stock Purchase Plan (ESPP), retail cashback schemes, cycle-to-work program, and a heavy investment in your professional and personal development.
Ready to lead the charge? Apply directly or drop us a message to discuss this confidential mandate in more detail!
Lead Data Engineer (Azure Databricks) in Leeds employer: KDR Talent Solutions UK
Join a premier global data and analytics powerhouse in Leeds, where your expertise as a Lead Data Engineer will not only shape the future of retail analytics but also foster a culture of innovation and mentorship. With a competitive salary, flexible hybrid working arrangements, and a suite of premium benefits including comprehensive healthcare and a robust pension scheme, this role offers an exceptional opportunity for professional growth and meaningful impact within a dynamic team environment.
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We think this is how you could land Lead Data Engineer (Azure Databricks) in Leeds
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We think you need these skills to ace Lead Data Engineer (Azure Databricks) in Leeds
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at KDR Talent Solutions UK. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
