

Sanderson
Senior Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer or Lead Data Engineer, offering up to £780 per day for 6 months, remote with one day onsite in London. Requires strong AWS, Snowflake, dbt, and SQL skills; cloud data platform experience essential.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
776
-
🗓️ - Date
July 18, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Remote
-
📄 - Contract
Outside IR35
-
🔒 - Security
Unknown
-
📍 - Location detailed
United Kingdom
-
🧠 - Skills detailed
#Databricks #SQL (Structured Query Language) #"ETL (Extract #Transform #Load)" #Data Engineering #AWS (Amazon Web Services) #Snowflake #Leadership #dbt (data build tool) #Airflow #Data Pipeline #Cloud #Code Reviews #AI (Artificial Intelligence) #Azure #Scala
Role description
Senior & Lead Data Engineers - Outside IR35 - Remote
• 1x Lead Data Engineer Vacancies - Up to £780 Per Day Outside IR35
• 3x Senior Data Engineer Vacancies - Up to £635 Per Day Outside IR35
Location: London (1 day per month onsite)
Duration: Initial 6-Month Contract
The Opportunity
We're supporting a a major household brand supporting their loyalty and rewards arm of the organisation. They are expanding its data engineering capability as part of a wider investment in its data platform.
They are seeking experienced Data Engineers to build and enhance cloud-based data solutions, working alongside senior technical leadership within a modern data environment.
Key Responsibilities
• Develop and maintain data pipelines and data products.
• Build and optimise data models within the data platform.
• Support the delivery of scalable and reliable data solutions.
• Contribute to code reviews and engineering best practices.
• Collaborate with technical stakeholders to deliver business requirements.
• Support ongoing platform development and improvement initiatives.
Technical Environment
• AWS
• Snowflake
• DBT
Required Skills & Experience
• Strong Data Engineering experience.
• Hands-on expertise with AWS, Snowflake and dbt.
• Strong SQL skills.
• Experience building and supporting modern cloud-based data platforms.
• Understanding of data modelling and data transformation principles.
• Ability to work within collaborative engineering teams.
Desirable Skills
• Airflow
• Databricks
• AI-focused development experience
• Semantic layer experience
• Exposure to Azure-based / other cloud environments and integrations.
Senior & Lead Data Engineers - Outside IR35 - Remote
• 1x Lead Data Engineer Vacancies - Up to £780 Per Day Outside IR35
• 3x Senior Data Engineer Vacancies - Up to £635 Per Day Outside IR35
Location: London (1 day per month onsite)
Duration: Initial 6-Month Contract
The Opportunity
We're supporting a a major household brand supporting their loyalty and rewards arm of the organisation. They are expanding its data engineering capability as part of a wider investment in its data platform.
They are seeking experienced Data Engineers to build and enhance cloud-based data solutions, working alongside senior technical leadership within a modern data environment.
Key Responsibilities
• Develop and maintain data pipelines and data products.
• Build and optimise data models within the data platform.
• Support the delivery of scalable and reliable data solutions.
• Contribute to code reviews and engineering best practices.
• Collaborate with technical stakeholders to deliver business requirements.
• Support ongoing platform development and improvement initiatives.
Technical Environment
• AWS
• Snowflake
• DBT
Required Skills & Experience
• Strong Data Engineering experience.
• Hands-on expertise with AWS, Snowflake and dbt.
• Strong SQL skills.
• Experience building and supporting modern cloud-based data platforms.
• Understanding of data modelling and data transformation principles.
• Ability to work within collaborative engineering teams.
Desirable Skills
• Airflow
• Databricks
• AI-focused development experience
• Semantic layer experience
• Exposure to Azure-based / other cloud environments and integrations.






