Data and Analytics Engineer
Job Advert
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.
As our Data \& Analytics Engineer, you will play a pivotal role in shaping the platform from the ground up, working across data engineering, modelling, reporting and stakeholder enablement. This is a rare opportunity to influence technology choices, establish best practices, and help embed a data\-driven culture across the business.
What will you be doing
- Data Platform Build\-out
+ 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
+ Ingest data from WMS, ERP, ecommerce, IoT and ad\-hoc sources (CSV, APIs, unstructured).
- Analytics \& Reporting
+ Optimise datasets for performance, cost, and freshness (partitioning, clustering, and incremental models).
- AI / ML Enablement
- Stakeholder Enablement \& Documentation
+ Enforce data governance practices to ensure compliance with organizational standards.
+ Upskill analysts through show\-and\-tell sessions and guard\-rail documentation.
- Governance \& DevOps
+ Adhere to and maintain data\-quality rules, lineage, and catalogue standards.
About you
- 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
- 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
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