

Sanderson
Data Engineering Tech Lead
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineering Tech Lead on an initial 6-month contract, paying £650 - £680 (Outside IR35). Located in London (1 day/month onsite), it requires strong AWS, Snowflake, and dbt expertise, with a focus on technical leadership.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
Unknown
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🗓️ - Date
July 17, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Outside IR35
-
🔒 - Security
Unknown
-
📍 - Location detailed
London
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🧠 - Skills detailed
#Quality Assurance #Cloud #AWS (Amazon Web Services) #AI (Artificial Intelligence) #Code Reviews #Data Engineering #Snowflake #Data Architecture #Leadership #Databricks #dbt (data build tool) #Airflow
Role description
Data Engineering Tech Lead
Location: London (1 day per month onsite)
Duration: Initial 6-Month Contract
Pay Rate: £650 - £680 (Outside IR35)
The Opportunity
We're supporting a growing loyalty and rewards organisation that is continuing to expand its data capability following significant business growth.
They are seeking a hands-on Data Engineering Tech Lead to provide technical leadership across their data platform, working closely with the Head of Data to drive architectural decisions, engineering standards and platform evolution.
This is a technical leadership role rather than a people management position, with a strong focus on remaining hands-on with engineering and delivery.
Key Responsibilities
• Lead technical design and architecture across the data platform.
• Provide guidance on engineering best practices and technical standards.
• Conduct code reviews and support quality assurance activities.
• Work closely with the Head of Data on technical decision-making.
• Support the development and evolution of cloud data solutions.
• Contribute directly to engineering delivery and implementation.
Technical Environment
• AWS
• Snowflake
• dbt
Required Skills & Experience
• Strong experience leading data engineering initiatives.
• Deep expertise with AWS, Snowflake and dbt.
• Strong understanding of modern data architecture and platform design.
• Experience reviewing code and driving engineering best practices.
• Ability to influence technical direction and architectural decisions.
• Comfortable remaining hands-on while operating in a leadership capacity.
Desirable Skills
• Airflow
• Databricks
• AI-focused development experience
• Semantic layer experience
Reasonable Adjustments:
Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients.
If you need any help or adjustments during the recruitment process for any reason, please let us know when you apply or talk to the recruiters directly so we can support you.
Data Engineering Tech Lead
Location: London (1 day per month onsite)
Duration: Initial 6-Month Contract
Pay Rate: £650 - £680 (Outside IR35)
The Opportunity
We're supporting a growing loyalty and rewards organisation that is continuing to expand its data capability following significant business growth.
They are seeking a hands-on Data Engineering Tech Lead to provide technical leadership across their data platform, working closely with the Head of Data to drive architectural decisions, engineering standards and platform evolution.
This is a technical leadership role rather than a people management position, with a strong focus on remaining hands-on with engineering and delivery.
Key Responsibilities
• Lead technical design and architecture across the data platform.
• Provide guidance on engineering best practices and technical standards.
• Conduct code reviews and support quality assurance activities.
• Work closely with the Head of Data on technical decision-making.
• Support the development and evolution of cloud data solutions.
• Contribute directly to engineering delivery and implementation.
Technical Environment
• AWS
• Snowflake
• dbt
Required Skills & Experience
• Strong experience leading data engineering initiatives.
• Deep expertise with AWS, Snowflake and dbt.
• Strong understanding of modern data architecture and platform design.
• Experience reviewing code and driving engineering best practices.
• Ability to influence technical direction and architectural decisions.
• Comfortable remaining hands-on while operating in a leadership capacity.
Desirable Skills
• Airflow
• Databricks
• AI-focused development experience
• Semantic layer experience
Reasonable Adjustments:
Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients.
If you need any help or adjustments during the recruitment process for any reason, please let us know when you apply or talk to the recruiters directly so we can support you.






