Data and Analytics Engineer

• Design relational & lakehouse schemas in a modern cloud warehouse (e.g., BigQuery, Snowflake) using dbt.
• Work closely with our consultants on the re-architecture of SSAS cubes to modern Lakehouse models, a great hands-on learning opportunity.
• Set up layered, tested dbt models (staging through to governed marts) and ensure data pipelines are optimal and maintained.
• Contribute to embedding the new data platform and architecture in the business and working to ensure our investment is maximised.
• Data Engineering
• Enhance, develop, and maintain ETL / ELT, middleware, and integrations.
• Ingest data from WMS, ERP, ecommerce, IoT and ad-hoc sources (CSV, APIs, unstructured).
• Analytics & Reporting
• Model data (dbt and a governed semantic layer) and build stunning dashboards used by Sales, Buying, Ops & Finance
• Optimise datasets for performance, cost, and freshness (partitioning, clustering, and incremental models).
• 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
• Monitor and improve CI/CD processes, source control (Git), and automate dbt and BI platform deployments.
• Adhere to and maintain data-quality rules, lineage, and catalogue standards.

• Solid foundations in Data Engineering, BI Development or Analytics Engineering, with a strong desire to develop and grow alongside the platform

• Strong SQL skills and a solid understanding of data-modelling principles (e.g. dimensional modelling, 3NF)

• Working knowledge of SQL Server or a comparable relational engine beyond writing queries: execution plans, indexing and locking

• Experience in ELT/ELT and extracting from a live transactional system without disrupting it, and working to production change control

• Experience designing and building modern data pipelines and Lakehouse architectures
• Hands-on experience with at least one enterprise-grade data platform (e.g., Google BigQuery, Snowflake, Databricks, or equivalent)
• Familiarity with cloud services and deployment automation (e.g., GCP, AWS, Terraform, CI/CD, Git)
• Ability to deliver clear, insightful, and performant data visualisations and dashboards using tools such as Looker, Omni, Power BI, or other modern BI platforms
• Agile mindset: embraces iterative delivery, peer code reviews, and test-driven development
• Excellent stakeholder engagement and communication skills

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

• 25 days holiday excluding public holidays increasing after 2 years’ service
• Personal bonus of up to 5% of salary, based on performance against key objectives
• Company bonus of up to 15% of salary
• 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

Liberty Wines is an equal-opportunity employer which welcomes applicants of all backgrounds and experiences. We are committed to creating an inclusive workplace that offers excellent opportunities for training and development alongside a great working environment (and an excellent coffee machine!).

Liberty Wines is transforming its data estate, migrating from on-premises platforms to a modern cloud-based analytics environment while expanding its AI and machine learning capabilities. Working alongside an experienced data consultancy, we are building a greenfield analytics platform using technologies such as BigQuery, Snowflake, dbt, Looker and Omni.