Senior Data Engineer | Cloud Data Platform, Flexible Hours

Ageas UK

Chandler's Ford

Hybrid

GBP 70,000 - 85,000

Full time

5 hours ago
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Benefits offered by this job

Smart Working
35 days holiday
Dental Insurance
Annual Bonus
Pension
Employee Savings
Cycle Scheme
Return to work programme

Job summary

Ageas UK is hiring a Senior Data Engineer to join our data team in a role that builds scalable data products and ML-ready platforms. You will collaborate with engineers, scientists and product teams to design and optimise data pipelines across our analytics platform.

The ideal candidate has strong Python, Spark, Airflow and SQL skills, plus experience with Databricks or Snowflake on AWS, and familiarity with CI/CD and Terraform. Hybrid working within the UK is supported.

Qualifications

  • Experience with Databricks or Snowflake on AWS.
  • Proven Python skills, including Spark and Airflow.
  • Advanced SQL skills and end-to-end data modelling experience.

Responsibilities

  • Build and support data products within our modern data platform.
  • Design and deliver solutions with engineers, scientists and product teams.
  • Develop and optimise data pipelines across the analytics platform.
  • Integrate data from varied sources with strong quality standards.
  • Maintain orchestration, monitoring and performance of data components.
  • Improve engineering processes across the wider data community.
  • Promote high coding and data practice standards.
  • Experiment with emerging data, ML and AI technologies.
  • Partner with architects on data product designs.
  • Work collaboratively in multi-functional agile squads.
  • Support ML and GenAI infrastructure and workflows.

Skills

Python
SQL
Data modelling
Data integration
CI/CD
Cloud data platforms
Collaboration

Tools

Databricks
Snowflake
AWS
Airflow
Terraform
Docker
Kubernetes

Job description

Ageas UK is hiring a Senior Data Engineer to join our data team in a role that builds scalable data products and ML-ready platforms. You will collaborate with engineers, scientists and product teams to design and optimise data pipelines across our analytics platform.

The ideal candidate has strong Python, Spark, Airflow and SQL skills, plus experience with Databricks or Snowflake on AWS, and familiarity with CI/CD and Terraform. Hybrid working within the UK is supported.

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