Data Engineer

Ageas; Reigate and Banstead; On-site; GBP 48,000 - 80,000; Full time

Job summary

Ageas is seeking a Data Engineer to join our Datateam. You will be part of a collaborative group of data and AI engineers, scientists, developers and analysts building modern data products and ML/GenAI capabilities.

You will design, build and optimise scalable data pipelines, ingest diverse data sources, and integrate data across the analytics platform to support business insights.

Qualifications

• Ability to design and build data products on a modern data platform.
• Experience delivering end-to-end data pipelines with quality controls.
• Experience in cloud data architectures and orchestration tools.

Responsibilities

• Build and support data products within a modern data platform.
• Design and deliver data solutions with engineers, scientists and product teams.
• Develop and optimise data pipelines across the analytics platform.
• Ingest data from varied sources with strong quality standards.
• Maintain orchestration, monitoring and performance of data components.
• Promote high coding and data practice standards.
• Experiment with emerging data, ML and AI technologies.

Skills

Cloud data platforms

Databricks

Snowflake

Python (Spark, Airflow)

Advanced SQL

Data integration

CI/CD

Terraform/IaC

Docker/Kubernetes

GenAI exposure

Collaborative

Tools

Git

Jenkins

Job description

Job Title: Data Engineer

Target Start Date: 1st August

Contract Type: Permanent, Part Time, Full Time, Job Share option available

Salary Range: £40,000 - £80,000

Location: WL3

Work Level: Flexible across esure and Ageas locations

Hiring Manager: Chris Coulson

DataEngineer:Weare currently recruiting for a Senior Data Engineer to join our innovative Datateam. You will join a collaborative team of data and AI engineers, scientists,developers, analysts, and architects. Together, you will design and buildmodern machine learning and AI services that support analytics and improveproducts across the business.

Main Responsibilities:

• Buildand support data products within our modern data platform
  
• Designand deliver solutions with engineers, scientists and product teams
  
• Developand optimise data pipelines across the analytics platform
  
• Integratedata from varied sources with strong quality standards
  
• Maintainorchestration, monitoring and performance of data components
  
• Improveengineering processes across the wider data community
  
• Promotehigh coding and data practice standards
  
• Experimentwith emerging data, ML and AI technologies
  
• Partnerwith architects on data product designs
  
• Workcollaboratively in multi-functional agile squads
  
• SupportML and GenAI infrastructure and workflows

Skills and experience:

• Passionfor building scalable, resilient cloud data platforms
  
• Strongexperience with Databricks or Snowflake on AWS
  
• ProvenPython skills, including Spark and Airflow expertise
  
• AdvancedSQL skills and end‑to‑end data modelling experience
  
• Experiencebuilding batch and real-time data integrations
  
• Hands-onCICD skills with Git, Jenkins or similar
  
• Abilityto ingest, cleanse and structure large, diverse datasets
  
• Knowledgeof Terraform or similar IaC tools
  
• Experiencewith Docker and Kubernetes is beneficial
  
• Exposureto production Generative AI is an advantage
  
• Strongcollaboration skills and a proactive attitude