

Data Engineer (Post Office Insurance)
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer (Post Office Insurance) based in London, offering a permanent contract with a competitive salary. Key skills required include SQL, Python, and experience with Databricks, AWS, or Azure. Prior commercial experience is essential.
π - Country
United Kingdom
π± - Currency
Unknown
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π° - Day rate
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ποΈ - Date discovered
July 30, 2025
π - Project duration
Unknown
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ποΈ - Location type
On-site
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
London
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π§ - Skills detailed
#S3 (Amazon Simple Storage Service) #SQL (Structured Query Language) #Spark (Apache Spark) #Strategy #Snowflake #AWS (Amazon Web Services) #GCP (Google Cloud Platform) #Data Engineering #Azure #Data Lake #Scala #Python #Databricks #Spark SQL
Role description
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Summary
Salary: Competitive plus benefits
Division: Post Office Insurance Reporting Line: Head of Pricing Contract Type: Permanent Location: London
What to expect
Providing an insurance quote is a very data intensive process, and with many millions of quotes and policies to issue, trustworthy and scalable data flows become integral to achieving our ambitious targets for growth.
As a Data Engineer, you will join us on our journey and undertake a critical role across Post Office Insurance, responsible for managing data flows, working across Python/SQL on Databricks, Pricing Execution on Earnix as well as locally performed analysis using Excel. You will proactively participate in the delivery of functional strategy and commercial objectives, always modelling appropriate behaviour and demonstrating a customer first mindset.
This role offers you an incredible opportunity to join Post Office Insurance at the start of an ambitious period of growth.
What we can do for you
Now, more than ever, we understand that attracting the right talent is pivotal in driving the positive change needed throughout our organisation. Beyond a competitive salary, we offer a comprehensive benefits package that includes:
28 days annual leave that increases with tenure + bank holidays
Annual Bonus scheme
Generous pension contribution
Life assurance
Full support from our employee assistance programme and access to our employee benefits platform
Ever-evolving learning and development opportunities
Our commitment to embracing diversity extends beyond just words. We hold the belief that Equity, Diversity, and Inclusion are not just vital but fundamental to our success and growth. As an equal opportunity employer, we value and celebrate the differences among our people, ensuring that our practices reflect our dedication to inclusivity and equal representation for all.
What youβll need to succeed
To be successful in the role, you will be an experienced Data Engineer, with previous experience working in a commercial environment. In addition to this, you will:
Possess first-class communication skills with the ability to collaborative and influence
Demonstrate experience of a coding language, as a minimum SQL
Have experience of distributed data systems and data lakes, including systems such as Databricks, Snowflake, S3 and/ or Lakehouse
Demonstrate experience of infrastructure providers such as AWS, Azure or GCP
Experience of Spark SQL would also be preferred
Academic qualification of proven self-learning in a STEM Subject is also desirable
About us
Post Office Insurance (POI) is a specialist insurance business thatβs a regulated subsidiary of Post Office. Our highly skilled experts work to offer a full range of personal lines insurance products. We cover everything from travel, home, motor, pet and gadgets insurance. With a focus on customer value, weβre the UK market leader in travel insurance, selling over one million policies each year.
There is much work to be done in achieving our growth ambitions. We're looking for people that emphasise value and service for our customers, helping us offer innovative and quality insurance products, whilst remaining focused on our purpose and strategic intent.