Lead Data Engineer
London, United Kingdom, UK - London
- Pay
- Pay not listed
- Work setting
Hybrid — work setting source
Work setup in the employer’s posting: Hybrid
From the employer’s posting- Employment
Permanent — employment source
Employment type Permanent - Full Time
Read the full posting
What you’ll work on
Full postingWorking with multiple stakeholder communities to understand our data needs and create pipelines to take data between different layers in the platform
Ensuring the technical infrastructure is in place and appropriate to support managing the data platform and associated activities such as pipelines
Build pipelines that move data between platform layers for stakeholder needs
Set up and maintain the technical infrastructure for the data platform
Create standards and patterns for high-quality future development
Define new features and capabilities for data usage
Provide governance and consultancy to platform users
From the employer’s posting
Working with multiple stakeholder communities to understand our data needs and create pipelines to take data between different layers in the platform
Ensuring the technical infrastructure is in place and appropriate to support managing the data platform and associated activities such as pipelines
create pipelines to take data between different layers in the platform
Ensuring the technical infrastructure is in place and appropriate to support managing the data platform
Creating standards and patterns to ensure that future development adhere to a high-quality fit for purpose framework
Defining features and capabilities to move the dial on data usage within the insurance industry
Providing governance and consultancy to users of the data platform and data related questions
What you’ll bring
All qualificationsCore experience
- 5+ years working in a Data Engineering role
- Strong SQL knowledge
- Knowledge of Python and Spark
- Experience analyzing, cleaning, migrating and modeling data
- Experience using Azure or another cloud provider (AWS, GCP)
Qualification wording
5+ years working in a Data Engineering role
Strong SQL knowledge
Knowledge of Python and Spark
Experience analyzing, cleaning, migrating and modeling data
Experience using Azure or another cloud provider (AWS, GCP)
Tools in this posting
- Python
- SQL
- AWS
- Azure
- GCP
- Spark
Source — Tool mentions in context
- 5+ years working in a Data Engineering role - Knowledge of Python and Spark - Strong SQL knowledge
- Knowledge of Python and Spark - Strong SQL knowledge - Experience analyzing, cleaning, migrating and modeling data
- Experience analyzing, cleaning, migrating and modeling data - Experience using Azure or another cloud provider (AWS, GCP) Core Values
Posting record
Report an errorOpen 4 monthsWe first saw this posting 148 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jun 3, 2026 · 148 days ago
- Recorded sightings
- 172
- Last seen by us
- Oct 29, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
Complete your application on cfc.pinpointhq.com. The employer’s form will show what is required.
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Job description
About the role
- Working with multiple stakeholder communities to understand our data needs and create pipelines to take data between different layers in the platform
- Ensuring the technical infrastructure is in place and appropriate to support managing the data platform and associated activities such as pipelines
- Creating standards and patterns to ensure that future development adhere to a high-quality fit for purpose framework
- Defining features and capabilities to move the dial on data usage within the insurance industry
- Providing governance and consultancy to users of the data platform and data related questions
About you
- 5+ years working in a Data Engineering role
- Knowledge of Python and Spark
- Strong SQL knowledge
- Experience analyzing, cleaning, migrating and modeling data
- Experience using Azure or another cloud provider (AWS, GCP)
Core Values
We show up each day ready to take on the world. Our passion and intensity set us apart and makes the difference to our colleagues, customers, brokers and carriers.
Challenge everything:
We’re never afraid to question the way that things are done and we constantly challenge ourselves and others to makes things better.
Have fun, be good:
Insurance is a serious business, but we don’t take ourselves too seriously. We make it fun to work at CFC, we welcome all viewpoints, and we treat everyone how we would expect to be treated.
Employment type
Permanent - Full Time
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
London, United Kingdom, UK - London
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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