Role Overview
We are looking for an experienced and autonomous Analytics Engineer to join our AI & Data function. This role sits at the critical intersection between our Data Management team and our Analytics team.
What You Will Do
You will take raw data, at various stages of conforming, and transform it into trusted, analytics-ready datasets — building KPIs, semantic models, and data products that feed our presentation and reporting layers.
Why It Might Be a Fit
We need someone we can trust to pick up a new data domain, figure it out, and deliver at pace. Reporting to the Director of Analytics, you will work closely with data engineers, analytics engineers, and business stakeholders across the group.
Requirements
- 5+ years of experience in analytics engineering, data engineering, or a closely related data role.
- Strong, hands-on proficiency with dbt (dbt Core or dbt Cloud) — this is a core requirement.
- Experience working on Databricks (or a comparable cloud data platform such as Snowflake or BigQuery).
- Solid understanding of dimensional modelling, data vault, or similar data warehousing patterns.
- SQL excellence: complex transformations, window functions, query optimisation.
- Proven ability to work autonomously across multiple data domains simultaneously, figuring out unfamiliar data with limited documentation.
- Strong analytical mindset: able to interrogate data critically, spot anomalies, and validate logic end-to-end.
- Excellent communication skills — comfortable talking directly with business stakeholders to elicit requirements and explain data concepts.
- Experience working across diverse data domains (e.g. marketing, product analytics, customer care, financial/subscription data).
Benefits
- Dental insurance
- Vision insurance
- ESG efforts and ambitious sustainability goals
To apply for this job please visit careers.team.blue.
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