Analytics Engineer
Overview
In this role you will own the design and delivery of a new data environment, spanning APIs, Python pipelines and dbt/BigQuery modelling to convert data into actionable insights. You work closely with the Head of Data and enjoy substantial autonomy to build and improve end-to-end data solutions. This position offers meaningful impact by shaping how the business uses data at a fast-scaling digital company. A strong candidate thrives on end-to-end ownership and data-driven decision making.
Pay / Benefits
- competitive salary
- hybrid work model (3 days in office / 2 days remote)
Responsibilities
- Own end-to-end data projects and the full data lifecycle from ingestion to insight
- Develop APIs and Python-based pipelines
- Model data using dbt and BigQuery
- Turn data into actionable business insights for decision making
- Collaborate with the Head of Data and operate with high autonomy to build and improve data solutions
Key requirements
- Python
- SQL
- dbt
- BigQuery / GCP
- Looker / Metabase
- APIs & data pipelines
- autonomy
- ownership
- problem-solving
- Python
- SQL
- dbt
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