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
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💰 - Day rate
Unknown
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🗓️ - Date
April 9, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
London
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🧠 - 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.