Senior Data Engineer - London
- Datatech
- 07/06/2026
Full time
Information Technology
Telecommunications
Job Description
Senior Data Engineer London
Location London, Hybrid, 3 days in the office each week (Monday, Tuesday and Wednesday)
Salary 70,000 to 80,000 dependent on experience
Ref J13073
A fast-growing AI SaaS company is looking for a Senior Data Engineer to play a key role in building the data foundations behind its analytics and AI products.
Working with complex, high-volume datasets, you will design and optimise the pipelines, models and data layers that power customer-facing solutions and machine learning applications.
The Opportunity
You will design, build and maintain scalable data pipelines that support a fast moving AI platform, working closely with product, analytics and machine learning teams to ensure data is accurate, accessible and trusted.
You will be working with large volumes of imperfect and inconsistent data, solving complex challenges and improving data quality as the platform scales.
The environment is modern and cloud based, with exposure to technologies such as Spark, Snowflake and BigQuery across AWS, GCP and Azure.
You will have the opportunity to support and mentor other engineers, contribute to engineering standards and play an active role in shaping how the team works.
The team is collaborative, supportive and values different perspectives. Engineers are encouraged to contribute ideas, challenge thinking and have a genuine impact on the direction of the platform.
Key Responsibilities
Design, build and maintain scalable data pipelines
Own data pipelines from source through to production
Work with complex and evolving datasets to create reliable outputs
Improve data quality, performance and reliability as the platform grows
Collaborate with product, analytics and machine learning teams
Contribute to code reviews and engineering best practice
Support and mentor other engineers
What We Are Looking For
Proven Python and SQL experience within production environments
Experience delivering data transformation projects end to end
Experience with Spark, Snowflake, BigQuery or similar technologies
Solid experience working with AWS, GCP or Azure
Comfortable working with complex, imperfect datasets
Experience owning solutions from design through to deployment
A collaborative approach and willingness to support others
If you enjoy building the data foundations behind AI products and want to join a team where your ideas and contributions will be valued, this could be a great fit.
Get in touch to learn more.
Please note that applicants must have the right to work in the UK. Sponsorship is not available for this opportunity.
Alternatively, you can refer a friend or colleague by taking part in our referral scheme. For each relevant candidate you introduce and we place, you will be entitled to our reward scheme.
Datatech is one of the UK's leading recruitment agencies in analytics and the host of Women in Data. For more information, visit (url removed)
Location London, Hybrid, 3 days in the office each week (Monday, Tuesday and Wednesday)
Salary 70,000 to 80,000 dependent on experience
Ref J13073
A fast-growing AI SaaS company is looking for a Senior Data Engineer to play a key role in building the data foundations behind its analytics and AI products.
Working with complex, high-volume datasets, you will design and optimise the pipelines, models and data layers that power customer-facing solutions and machine learning applications.
The Opportunity
You will design, build and maintain scalable data pipelines that support a fast moving AI platform, working closely with product, analytics and machine learning teams to ensure data is accurate, accessible and trusted.
You will be working with large volumes of imperfect and inconsistent data, solving complex challenges and improving data quality as the platform scales.
The environment is modern and cloud based, with exposure to technologies such as Spark, Snowflake and BigQuery across AWS, GCP and Azure.
You will have the opportunity to support and mentor other engineers, contribute to engineering standards and play an active role in shaping how the team works.
The team is collaborative, supportive and values different perspectives. Engineers are encouraged to contribute ideas, challenge thinking and have a genuine impact on the direction of the platform.
Key Responsibilities
Design, build and maintain scalable data pipelines
Own data pipelines from source through to production
Work with complex and evolving datasets to create reliable outputs
Improve data quality, performance and reliability as the platform grows
Collaborate with product, analytics and machine learning teams
Contribute to code reviews and engineering best practice
Support and mentor other engineers
What We Are Looking For
Proven Python and SQL experience within production environments
Experience delivering data transformation projects end to end
Experience with Spark, Snowflake, BigQuery or similar technologies
Solid experience working with AWS, GCP or Azure
Comfortable working with complex, imperfect datasets
Experience owning solutions from design through to deployment
A collaborative approach and willingness to support others
If you enjoy building the data foundations behind AI products and want to join a team where your ideas and contributions will be valued, this could be a great fit.
Get in touch to learn more.
Please note that applicants must have the right to work in the UK. Sponsorship is not available for this opportunity.
Alternatively, you can refer a friend or colleague by taking part in our referral scheme. For each relevant candidate you introduce and we place, you will be entitled to our reward scheme.
Datatech is one of the UK's leading recruitment agencies in analytics and the host of Women in Data. For more information, visit (url removed)
About Datatech