Description
Remote UK - £45,000 DOE
This is an exciting high visibility opportunity in an ambitious, values led organisation refreshing its data strategy and modernising its intelligence platform. You’ll be trusted early, work closely with stakeholders, and build the foundations that drive better insight, smarter decisions, using data for good.
It’s ideal for someone early in their journey with 2+ years’ experience, ready to step up. You’ll join a supportive, encouraging environment with real runway to grow technically and start developing leadership skills as your ownership and influence increases across the business.
What you’ll do
- Help shape and deliver a refreshed data strategy and modern intelligence platform
- Build reliable, scalable ELT/ETL pipelines into a cloud data warehouse, Snowflake, Databricks, or similar
- Build and optimise core data models and transformations, dimensional, analytics-ready, built to last
- Create trusted data products that enable self-service analytics across the organisation
- Improve data quality, monitoring, performance, and cost efficiency
- Partner with analysts, BI, and non-technical teams to turn questions into robust data assets
- Contribute to standards, best practice, and reusable engineering frameworks
- Support responsible AI tooling, including programmatic LLM workflows where relevant
What you’ll bring
- 2+ years’ experience in data engineering within a modern stack
- Strong SQL and a solid modelling foundation
- Python (preferred) or similar for pipeline development and automation
- Cloud experience, AWS, Azure, or GCP
- Familiarity with orchestration and analytics engineering tools, dbt, Airflow, or similar
- Strong habits around governance, security, documentation, version control (Git), and CI/CD
The kind of person who thrives here
Confident, curious, and motivated. You care about doing things properly, you enjoy being visible and trusted in the business, and you’re passionate about using data to create positive outcomes.
We are proud supporters of Women in Data®. Connect, engage and belong to the largest free female data community in the UK – visit: www.womenindata.co.uk to join our community.
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