Senior Data Analytics Engineer

Recently named UK Packaging Company of the Year, Kite Packaging is a £200 million, employee-owned business with a strong entrepreneurial spirit and a results-driven culture. Operating from 9 sites across the UK, Kite is committed to innovation and excellence, with our core technology team - including IT, software development, data analytics, and Dynamics 365 Platforms - playing a central role in our continued growth.

We are seeking an experienced data professional who wants to take ownership of our Fabric platform and ensure that data analytics delivers business results. You will own our data platform and analytics suite from end-to-end working on engineering, modelling, analytics and data visualisations. This is a strategic role that enables reporting and decision improvements across Kite.

Last year Kite invested in an entire overhaul of all technology systems and implemented Microsoft Fabric, the infrastructure is now well established, and ready for someone to take to the next level.

You’ll be the go‑to expert for our lakehouse/warehouse architecture, semantic models, and the pipelines that keep data flowing reliably across the business.

This is a hands‑on senior individual contributor role - you won't be managing people, but you will set technical direction, define standards, review the team's work, and be the escalation point for the most complex data engineering problems.

You will have experience of working with the Microsoft stack of technology and have a core skillset in SQL and Python, whilst also having the ability to influence your colleagues and drive action.

You have thought about the future of data roles and will bring your ideas on how to integrate AI to enhance data teams’ output and the ability for your colleagues to access the data they require.

• Own the Microsoft Fabric platform including data platform strategy, roadmap, and technical standards.
• Maintain and enhance the suite of strategic reports.
• Deliver analysis to improve decision making across Kite.
• Work effectively with our systems teams to align and integrate data across our platforms.
• Own the Data repository, including code quality, branching strategy, CI/CD, and release governance.
• Define and enforce best practices for data modelling, ingestion, transformation, orchestration, and semantic layer design.
• Drive platform reliability, performance, security, and cost optimisation across lakehouse/warehouse workloads.
• Act as technical lead for solution design, incident resolution, and complex delivery challenges.
• Partner with business stakeholders to translate requirements into scalable platform capabilities.
• Mentor your colleagues, raising technical capability in the team, and create a strong engineering culture.
• Ensure robust documentation, observability, and operational runbooks are in place.

• Proven experience within a modern data platform.
• Strong engineering background across data pipelines, SQL, data modelling, and performance tuning.
• Deep experience with source control and collaborative engineering practices in Git-based repositories.
• Experience designing and maintaining CI/CD for data solutions (testing, deployment, rollback, environment promotion).
• Strong understanding of platform security, governance, and data quality controls.
• Demonstrated ability to lead technically, influence architecture decisions, and mentor engineers.
• Excellent communication skills with both technical and non-technical stakeholders.
• Experience with Microsoft Fabric and/or Azure data ecosystems.
• Experience with Power BI semantic models and enterprise reporting patterns.
• Experience with lakehouse and warehouse patterns in Fabric at production scale.
• Understanding of Dynamics 365 data architecture (CE & F&O).
• Experience of Google Big Query.
• Experience of working in an Ecommerce environment.

• Join a business where technology is at the heart of growth and innovation.
• Work in a modern, high-spec HQ with a talented, collaborative team.
• Competitive salary based on experience and skill set with a comprehensive benefits packaging including:
  Pension Scheme, Health Cash Plan, Cycle to Work Scheme
• The option to become a shareholder in the business after 6 months employment