

Harrington Starr
Senior Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer on a 3-month contract, paying £400-£500 per day outside IR35, based in London (hybrid). Requires strong Snowflake expertise, advanced Python skills, and experience with ETL/ELT pipelines and data platforms.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
500
-
🗓️ - Date
January 31, 2026
🕒 - Duration
3 to 6 months
-
🏝️ - Location
Hybrid
-
📄 - Contract
Outside IR35
-
🔒 - Security
Unknown
-
📍 - Location detailed
London Area, United Kingdom
-
🧠 - Skills detailed
#Compliance #Data Pipeline #Data Architecture #dbt (data build tool) #"ETL (Extract #Transform #Load)" #Python #Security #Data Lakehouse #Data Quality #BI (Business Intelligence) #Data Engineering #Snowflake #Airflow #Scala #Data Lake
Role description
Senior Data Engineer
Contract: 3 months (rolling)
Start: ASAP
Location: London - Hybrid
£500 (£400- £500) per day OUTSIDE IR35
We are seeking an experienced Senior Data Engineer to help design and deliver a modern Snowflake-based data platform. This is a hands-on contract role focused on building core architecture, establishing robust data pipelines, and delivering the first iteration of a scalable Data Lakehouse to support BI and compliance analytics.
This opportunity suits engineers who can move quickly, take ownership, and deliver production-ready solutions with minimal ramp-up time.
Key Responsibilities
• Define and implement the core Snowflake data architecture and data model
• Build and maintain ETL/ELT pipelines from internal systems and third-party data sources
• Design and establish CI/CD workflows for data engineering and analytics operations
• Deliver the initial version of a Data Lakehouse to support business intelligence and regulatory/compliance use cases
• Work closely with technical and business stakeholders to ensure scalable, reliable data solutions
• Apply best practices across performance, security, and data quality
Required Skills & Experience
• Strong hands-on experience with Snowflake / Data Warehousing / Lakehouse architectures
• (please clearly quantify years of experience and/or number of relevant projects)
• Advanced Python development skills for data engineering
• Experience with orchestration and transformation frameworks such as Airflow, dbt, or similar
• Proven ability to design and deliver data platforms end to end
• Comfortable working autonomously in fast-paced environments
Interviews can be scheduled at short notice, and candidates available immediately or on short notice will be prioritised.
Senior Data Engineer
Contract: 3 months (rolling)
Start: ASAP
Location: London - Hybrid
£500 (£400- £500) per day OUTSIDE IR35
We are seeking an experienced Senior Data Engineer to help design and deliver a modern Snowflake-based data platform. This is a hands-on contract role focused on building core architecture, establishing robust data pipelines, and delivering the first iteration of a scalable Data Lakehouse to support BI and compliance analytics.
This opportunity suits engineers who can move quickly, take ownership, and deliver production-ready solutions with minimal ramp-up time.
Key Responsibilities
• Define and implement the core Snowflake data architecture and data model
• Build and maintain ETL/ELT pipelines from internal systems and third-party data sources
• Design and establish CI/CD workflows for data engineering and analytics operations
• Deliver the initial version of a Data Lakehouse to support business intelligence and regulatory/compliance use cases
• Work closely with technical and business stakeholders to ensure scalable, reliable data solutions
• Apply best practices across performance, security, and data quality
Required Skills & Experience
• Strong hands-on experience with Snowflake / Data Warehousing / Lakehouse architectures
• (please clearly quantify years of experience and/or number of relevant projects)
• Advanced Python development skills for data engineering
• Experience with orchestration and transformation frameworks such as Airflow, dbt, or similar
• Proven ability to design and deliver data platforms end to end
• Comfortable working autonomously in fast-paced environments
Interviews can be scheduled at short notice, and candidates available immediately or on short notice will be prioritised.






