Senior Analytics Engineer

Location: London (Hybrid – 3 days onsite)

I am looking for a Senior Analytics Engineer to join a cross‑functional product squad working on high‑impact, data‑driven solutions. This position blends data analysis with data engineering
, making it ideal for someone who enjoys owning the full lifecycle from data discovery through to production‑ready pipeline development.

If you see yourself as someone who likes to work across both sides analytical problem‑solving and engineering delivery this Senior Analytics Engineer role will suit you perfectly.

• Build and optimise production‑ready data pipelines for analytics, reporting, and operational decision‑support.
• Connect to and analyse data from relational databases, APIs, CSV, YML, XLS and other sources.
• Improve and modernise legacy datasets, addressing data quality, completeness, and consistency.
• Define KPIs, metrics, and analytical logic used across dashboards and BI tools.
• Prepare and validate datasets used by Data Scientists for AI and ML solutions.
• Ensure all data solutions are scalable, reliable, and production‑ready.

• Strong SQL and Python (Pandas) for data processing and analytics.
• Experience building or maintaining ETL/ELT pipelines.
• Proficiency with BI tools like Power BI or Tableau.
• Knowledge of data modelling and API integration.
• Cloud platform experience, ideally AWS, plus CI/CD and version control exposure.
• Background in product‑centric or consultancy‑style delivery environments.

This Senior Analytics Engineer position is perfect for someone who naturally blends data analysis and data engineering skills someone who can work comfortably across SQL, Python, modelling, BI tooling, and production‑level pipeline delivery.

’s also a great fit for candidates coming from hybrid roles such as:

• Data Engineering with BI/analytics focus
• Data Analysis with strong coding and pipeline experience

If you enjoy variety and end‑to‑end ownership, this role is designed for you.

• Hybrid role: 3 days onsite in London with the product squad.
• Close collaboration with Data Science, Product, and Visualisation teams

If this role sounds like something you are interested in please get in touch with me