Lead Analytics Engineer

SF Partners
Charing Cross, United Kingdom
2 days ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Charing Cross, United Kingdom

Tech stack

Sql Data Warehouse
Amazon Web Services (AWS)
Data analysis
Software as a Service
Cloud Computing
Information Engineering
Python
Power BI
SQL Databases
Sql Optimization
Snowflake
Data Pipelines
Redshift
Databricks

Job description

I am currently supporting a fast-growing SaaS business with an urgent requirement for an experienced Lead Analytics Engineer / Senior Data Contractor to help drive and stabilise their analytics capability.

This is a highly hands-on role, ideal for someone who enjoys working across data engineering, analytics, and commercial insight, with strong exposure to modern cloud data stacks and stakeholder-facing delivery.

You will be joining a fast-paced environment where data is central to product, commercial, finance, and leadership decision-making., You will take ownership of analytics delivery across the business, helping to ensure data is trusted, accessible, and directly supports strategic decisions.

  • Designing and maintaining scalable data pipelines and analytical datasets
  • Building and refining SQL / dbt transformation logic
  • Developing robust semantic models and business metrics frameworks
  • Delivering high-quality Power BI dashboards and reporting
  • Supporting cloud data warehouse environments such as Redshift, Snowflake, Databricks, or similar
  • Driving data quality, validation, and testing best practise
  • Collaborating closely with product, commercial, finance, and leadership teams
  • Translating complex data into clear, decision-ready insight

Requirements

We are seeking candidates with strong hands-on expertise in the following areas:

  • Advanced SQL
  • dbt
  • Python
  • Power BI
  • Cloud warehouse experience (Redshift / Snowflake / Databricks / Fabric / AWS)
  • Strong data modelling and semantic layer design
  • KPI and metrics ownership
  • Experience in SaaS, product-led, fintech, or scale-up environments

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