Senior Data Engineer | Cloud Data Platform, Flexible Hours

Ageas UK; Chandler's Ford; Híbrido; GBP 70.000 - 85.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Smart Working

35 days holiday

Dental Insurance

Annual Bonus

Pension

Employee Savings

Cycle Scheme

Return to work programme

Descripción de la vacante

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.

Formación

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

Responsabilidades

• 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.

Conocimientos

Python

SQL

Data modelling

Data integration

CI/CD

Cloud data platforms

Collaboration

Herramientas

Databricks

Snowflake

AWS

Airflow

Terraform

Docker

Kubernetes

Descripción del empleo

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.