Analytics Engineer
Job description
This Analytics Engineer opportunity in Boston, London is built around building , maintain, and optimize data transformations, models, and pipelines in dbt (or equivalent) - including testing, documentation, and version control. It would suit someone who can bring comfortable with warehouse routines to the role.
Why this role may suit you
You are a great communicator, equally comfortable engaging with technical and non-technical stakeholders. With teams in Boston, London, and Sydney, we're making waves worldwide, partnering with industry leaders like Domino’s, JD Sports and Mc.
What you would be doing
Build, maintain, and optimize data transformations, models, and pipelines in dbt (or equivalent) - including testing, documentation, and version control. Define, own, and monitor business metrics and models (e.g. dimension tables, slowly changing dimensions, aggregates). Supporting or own CI/CD workflows around analytics (e.g. git, reviews, deployment of transformation code).
The working style that fits
comfortable with warehouse routines.
What you need
- Experience working in a modern data stack (e.g. BigQuery, Snowflake, Redshift, Databricks, etc.).
- Experience in a lean or startup environment is a plus.
- Blink, a mobile-first employee experience platform, puts everything employees need right in their hands.
Practical information
- Stock options on starting and additional high performer grants annually!
- Additional time off between Christmas and New Year.
- Social events ( lunches, breakfasts, nights out).
- 25 days’ leave + public holidays.
Job details
- Benefits mentioned: Pension, Private healthcare
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