Overview

Liberty Wines is modernising its data estate: migrating from on-prem Analysis Services to the cloud, moving our WMS, ERP and bespoke apps to scalable platforms, and expanding AI/ML initiatives. We are evaluating both Fabric and Databricks as a potential strategic fit. As our hands-on Data & Analytics Engineer, you'll play a key role in shaping and influencing that decision, helping assess the best platform for our needs based on your experience and contributing to successful delivery on either.

Data Platform Build-out

• Design relational & Lakehouse schemas in Fabric or Databricks
• Lead the re-architecture of SSAS cubes to modern Lakehouse models
• Set up medallion architecture and govern data pipelines.
• Contribute to the evaluation and selection of data platform architecture based on performance, usability, and alignment with Liberty Wines' long-term data strategy

Data Engineering

• Develop and orchestrate ETL / ELT, middleware and integrations
• Ingest data from WMS, ERP, ecommerce, IoT and ad-hoc sources (CSV, APIs, unstructured).

Analytics & Reporting

• Model data (DAX, Tabular Editor) and build stunning dashboards used by Sales, Buying, Ops & Finance
• Optimise datasets for performance, incremental refresh and DirectQuery.

AI / ML Enablement

• Work with Liberty's AI & Automation Dev Team to prepare and expose curated data to our AI/ML toolsets and workflows.

Stakeholder Enablement & Documentation

• Maintain clear documentation for BI projects, processes, and solutions.
• Enforce data governance practices to ensure compliance with organizational standards.
• Upskill analysts through show-and-tell sessions and guard-rail documentation

Governance & DevOps

• Implement CI/CD, source control (Git), and automate Fabric workspace deployment
• Define data-quality rules, lineage and catalogue standards

About You

• Solid track record in Data Engineering, BI Development or Analytics Engineering roles
• Strong SQL skills and a solid understanding of data-modelling principles (e.g., dimensional modelling, 3NF)
• Experience designing and building modern data pipelines and Lakehouse architectures
• Hands-on experience with at least one enterprise-grade data platform (e.g., Microsoft Fabric, Azure Synapse, Databricks, or equivalent)
• Proficiency in ELT/ETL development using tools such as Data Factory, Dataflow Gen2, Databricks Workflows, or similar orchestration frameworks
• Experience with Python and/or PySpark for data transformation, automation, or pipeline development
• Familiarity with cloud services and deployment automation (e.g., Azure, AWS, Terraform, CI/CD, Git)
• Ability to deliver clear, insightful, and performant data visualisations and dashboards using tools such as Power BI, Databricks Dashboards, or other modern BI platforms
• Comfortable enabling self-service analytics and natural language querying tools (e.g., Power BI Q&A, Databricks Genie)
• Agile mindset: embraces iterative delivery, peer code reviews, and test-driven development
• Excellent stakeholder engagement and communication skills - confident working cross-functionally and enabling others to use and trust the data
• Desirable
  • Experience with Lakehouse patterns; setting standards, quality checks etc.
  • Parquet partitioning and clustering to optimise for query speed and cost
  • GitHub Actions
  • REST APIs
  • ML Ops tooling

What you can expect

• 25 days holiday excluding public holidays increasing after 2 years' service
• Participation in Company and Personal bonus schemes
• Company pension scheme matching up to 5% of contributions
• 18 weeks enhanced maternity leave and 4 weeks paternity leave.
• Cycle to work scheme & Season ticket loan
• Employee Assistance Programme
• Travel insurance
• Employee wine discount
• Retail, wellbeing, technology, and travel discounts
• Plus many other Liberty Wine perks