Analytics Engineer
Analytics Engineer who owns the end-to-end data lifecycle: building APIs and Python data pipelines, modeling data with dbt on BigQuery, and turning data into business insights using tools like Looker or Metabase. Reports to the Head of Data with high autonomy to build new data environments rather than maintain existing ones.
- Compensation
- Not disclosed
- Location
- United Kingdom
- Work setup
- Hybrid
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data analytics
- Posted
Skills
Must have
- Python
- SQL
- dbt
- BigQuery / GCP
- Looker / Metabase
- APIs & data pipelines
- Ownership mindset
- High autonomy
- Problem-solving
Full description
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