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Data Engineer - Insurance Company - London

Noir
Posted 2 days ago, valid for 5 days
Location

Didcot, Oxfordshire OX11 9LT

Contract type

Full Time

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

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  • An insurance company in Didcot is seeking a Data Engineer to enhance their data infrastructure and analytics capabilities.
  • The role involves designing and maintaining data pipelines, utilizing tools like Python, Databricks, and various AWS services.
  • Candidates should have solid experience with SQL and data modeling, along with proficiency in Python and familiarity with BI tools.
  • The position offers a competitive salary range of £45,000 - £55,000, along with bonuses and benefits.
  • Applicants should have at least a few years of relevant experience and must be based in the UK with the right to work.

Data Engineer - Insurance Company - Didcot

(Tech Stack: Data Engineer, Databricks, Python, Power BI, AWS QuickSight, AWS, TSQL, ETL, Agile Methodologies)

We're working in partnership with a forward-thinking insurance company based in Didcot that's heavily investing in data and technology to drive smarter decisions and better outcomes for their customers. As part of this growth, they are now seeking a Data Engineer to help shape their data infrastructure and analytics capabilities.

The Role

As a Data Engineer, you'll play a crucial role in designing and maintaining data pipelines, ensuring data is clean, structured, and accessible for analysis. You'll work with modern data tools and cloud technologies to enable real-time insights and support strategic business decisions.

Key Responsibilities

  • Develop and maintain scalable data pipelines and solutions for data ingestion, transformation, and delivery.
  • Use Python to automate data workflows, support ETL processes, and enhance analytics capabilities.
  • Work with relational databases such as MySQL, Redshift, and PostgreSQL to manage and model structured data.
  • Leverage AWS cloud services including S3, Redshift, Athena, and Lambda to support data storage, querying, and processing.
  • Support business reporting and analytics through integration with BI tools like Looker, Power BI, or Tableau.
  • Collaborate using version control tools such as Git, following best practices for code reviews and collaborative development.
  • Work alongside digital teams to implement and analyze web and behavioural analytics, using platforms like Google Analytics, Matomo, or server-side tracking tools.

What We're Looking For

  • Solid experience with SQL and a strong grasp of data modelling concepts.
  • Proficiency in Python, particularly for data transformation, automation, and analytics.
  • Hands-on exposure to AWS data services (S3, Redshift, Athena, Lambda) is a strong advantage.
  • Understanding of BI/reporting tools and how to support business intelligence needs.
  • Familiarity with version control systems (Git) and collaborative engineering practices.
  • Interest or experience in web analytics and user behavior tracking tools.

Why Join?

  • Join a stable and growing company in the insurance sector
  • Work in a collaborative team with real impact on decision-making
  • Hybrid working model offering flexibility and work-life balance
  • Competitive salary and benefits package
  • Opportunity to work with cloud-native and modern data technologies

Location: London/Remote Working UK

Salary: £45,000 - £55,000 + Bonus + Pension + Benefits

Applicants must be based in the UK and have the right to work in the UK even though remote work is available.

To apply for this position please send your CV to Matt Jones at Noir.

NOIRUKTECHREC

NOIRUKREC

NC/RG/DE

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In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.