

SF Partners
Lead Analytics Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead Analytics Engineer/Senior Data Contractor for a 6-month contract in London/Hybrid, offering competitive pay. Key skills include advanced SQL, dbt, Python, Power BI, and cloud warehouse experience. SaaS or fintech background required.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
Unknown
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🗓️ - Date
April 9, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
London
-
🧠 - Skills detailed
#Data Quality #Databricks #Redshift #AWS (Amazon Web Services) #SQL (Structured Query Language) #Leadership #Datasets #dbt (data build tool) #Scala #Snowflake #"ETL (Extract #Transform #Load)" #Python #SaaS (Software as a Service) #Semantic Models #Data Engineering #Microsoft Power BI #Data Warehouse #BI (Business Intelligence) #Data Pipeline #Cloud
Role description
Lead Analytics Engineer / Senior Data Contractor
London / Hybrid | Contract | SaaS / Product-Led Environment
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.
The Role
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 insightRequired Experience
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 environmentsIdeal Background
This position would suit someone currently working as a:
• Lead Analytics Engineer
• Senior Analytics Engineer
• Senior Data Engineer
• Data & Analytics Lead
• BI / Analytics ContractorLocation
London / Hybrid working.
If this opportunity aligns with your experience and aspirations, please apply or contact us directly for further information.
Lead Analytics Engineer / Senior Data Contractor
London / Hybrid | Contract | SaaS / Product-Led Environment
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.
The Role
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 insightRequired Experience
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 environmentsIdeal Background
This position would suit someone currently working as a:
• Lead Analytics Engineer
• Senior Analytics Engineer
• Senior Data Engineer
• Data & Analytics Lead
• BI / Analytics ContractorLocation
London / Hybrid working.
If this opportunity aligns with your experience and aspirations, please apply or contact us directly for further information.






