Data Engineer - Insurance Company - London

Noir; East Hagbourne; Hybrid; GBP 45,000 - 55,000; Full time

Job summary

A forward-thinking insurance company is seeking a Data Engineer to enhance their data infrastructure and analytics capabilities. This role offers the chance to work with modern data tools and cloud technologies, enabling real-time insights that drive strategic business decisions. Join a collaborative team within a stable organization that values innovation and offers a hybrid working model for improved work-life balance. With a competitive salary and benefits package, this position is perfect for those looking to make a significant impact in the insurance sector.

Benefits

Flexible working hours

Competitive salary

Pension plan

Benefits package

Opportunity to work with modern data technologies

Qualifications

• Solid experience with SQL and data modelling concepts.
• Proficiency in Python for data transformation and automation.

Responsibilities

• Develop and maintain scalable data pipelines for ingestion and transformation.
• Leverage AWS services for data storage and processing.

Skills

Python

SQL

Data Modelling

AWS

ETL

Agile Methodologies

Web Analytics

Tools

Databricks

Power BI

AWS QuickSight

MySQL

Redshift

PostgreSQL

Looker

Tableau

Git

Google Analytics

Job description

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

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