Analytics Engineer
DOJO AIAI Marketing company
London, United KingdomMid
Armilar Venture Partners
Heartfelt VC
Data & AI
About the role
TL;DR
Analytics Engineer to own data products, build pipelines, and contribute to data standards.
- •We are looking for an Analytics Engineer who can independently own analytical engineering workstreams, deliver high-quality data products, and contribute to reusable standards across the data ecosystem.
- •This person will combine strong technical craft with business understanding.
- •Key Responsibilities Own your analytics engineering work stream end to end, transforming stakeholder needs into robust, scoped data products.
- •Build performant, cost-conscious data pipelines in BigQuery using dbt, and design insightful data visualisation.
- •Develop scalable, performant, and reliable pipeline orchestrations using Airflow, dbt, Airbyte, and Fivetran.
- •Use Python to automate workflows, validate data quality, and streamline analytical operations.
- •Contribute to shared standards, design reusable metrics, and actively pay down technical debt to keep our platform healthy.
- •Requirements A background in analytical engineering, data engineering, or a related data-focused role.
- •Strong SQL skills and hands-on expertise building models with dbt.
- •Experience with cloud data warehousing (preferably BigQuery) and BI platforms (ideally Looker).
- •Familiarity with orchestration systems like Airflow and ingestion tools like Airbyte or Fivetran.
- •Practical Python skills to support automation and testing workflows.
Required skills
SQLdbtBigQueryAirflowPythonFivetranLooker
Domain expertise
fintech
Tech stack
SQLdbtAirflowBigQueryPythonFivetranLooker
