Own analytics engineering work stream end to end, transforming needs into data products.
Build data pipelines and data warehouse components to deliver business value.
Collaborate on reusable standards and pay down technical debt.
Develop data visualisations and insights for stakeholders.

🎯 Requirements

Strong SQL skills and experience with dbt models.
Experience with cloud data warehousing (BigQuery) and BI tools (Looker).
Familiarity with Airflow, Airbyte or Fivetran for data ingestion/orchestration.
Practical Python skills for automation and testing workflows.
Ability to ensure data quality and independently guide technical decisions.

🎁 Benefits

Office-first culture; 4+ days in the office recommended.
European offices with spaces for collaboration and focus.
Opportunity to work with diverse teams and learn continuously.

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