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Building Data, Software & DevOps teams in the UK | The Talent Driving The Dataand AI Revolution
Role: Data Engineering Manager
Salary: £110,000 - £120,000 + 10% bonus + share options
Location: Central London - 1 day per week in the office (Hybrid)
Our client, a fast-growing product-led business in the insurance and financial services sector, is looking for a Data Engineering Manager/Head of Data Engineering to lead and scale their data team. The company leverages real-world behavioural and location data to power next-generation insights for underwriting, credit risk, and product innovation.
You'll define the data platform strategy, modernise infrastructure, and enable large-scale data processing to support analytics and machine learning use cases. Leading a team of four Data Engineers, you'll combine strategic vision with hands-on technical leadership in a fast-paced, high-growth environment.
The role will involve:
* Defining and delivering the data engineering roadmap
* Architecting and modernising data platforms for scale and reliability
* Building pipelines for large-scale behavioural and GPS data
* Driving best practices across CI/CD, infrastructure-as-code, and governance
* Mentoring and growing a high-performing team
What you'll bring:
* 5+ years in data engineering, with 2+ years in a leadership role
* 60% hands-on technically/40% hands-off leadership and strategy
* Proven experience designing scalable data architectures and pipelines
* Strong Python, SQL, and experience with tools such as Airflow, dbt, and Spark
* Cloud expertise (AWS preferred), with Docker/Terraform
* A track record of delivering in fast-paced, scale-up environments
Nice to have:
* Experience with streaming pipelines, MLOps, or modern data architectures
This is a great opportunity to join a well-funded, high-growth business where you'll shape data strategy, build modern infrastructure, and directly influence product innovation at scale.
Apply today or get in touch for more details.
Role: Data Engineering Manager
Salary: £110,000 - £120,000 + 10% bonus + share options
Location: Central London - 1 day per week in the office (Hybrid)
Our client, a fast-growing product-led business in the insurance and financial services sector, is looking for a Data Engineering Manager/Head of Data Engineering to lead and scale their data team. The company leverages real-world behavioural and location data to power next-generation insights for underwriting, credit risk, and product innovation.
You'll define the data platform strategy, modernise infrastructure, and enable large-scale data processing to support analytics and machine learning use cases. Leading a team of four Data Engineers, you'll combine strategic vision with hands-on technical leadership in a fast-paced, high-growth environment.
The role will involve:
* Defining and delivering the data engineering roadmap
* Architecting and modernising data platforms for scale and reliability
* Building pipelines for large-scale behavioural and GPS data
* Driving best practices across CI/CD, infrastructure-as-code, and governance
* Mentoring and growing a high-performing team
What you'll bring:
* 5+ years in data engineering, with 2+ years in a leadership role
* 60% hands-on technically/40% hands-off leadership and strategy
* Proven experience designing scalable data architectures and pipelines
* Strong Python, SQL, and experience with tools such as Airflow, dbt, and Spark
* Cloud expertise (AWS preferred), with Docker/Terraform
* A track record of delivering in fast-paced, scale-up environments
Nice to have:
* Experience with streaming pipelines, MLOps, or modern data architectures
This is a great opportunity to join a well-funded, high-growth business where you'll shape data strategy, build modern infrastructure, and directly influence product innovation at scale.
Apply today or get in touch for more details.
Desired Skills and Experience
Python, SQL, AWS, Amazon Web Services, CI/CD, Docker, Terraform, Airflow, DBT
Seniority level
* Seniority level
Mid-Senior level
Employment type
* Employment type
Full-time
Job function
* Job function
Engineering, Finance, and Information Technology
* Industries
Insurance
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