Senior Data Engineer | AI/ML Data Platform, Flexible Hours

Ageas Uk; Eastleigh; Híbrido; GBP 70.000 - 85.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible working options

35 days holiday (plus bank holidays)

Annual bonus schemes

Annual salary reviews

Competitive pension

Employee savings

Employee loans

Well-being activities

Descripción de la vacante

Ageas UK is seeking a Senior Data Engineer to join our innovative data team. You will help design and build modern ML-ready data services supporting analytics across the business.

You will collaborate with data scientists, engineers and product teams to deliver scalable pipelines and data products on our cloud platform, enabling real-time and batch integrations while maintaining quality and governance.

Formación

• Experience building scalable cloud data platforms on AWS.
• Proven ability to design and implement data pipelines end-to-end.
• Strong SQL and data modelling skills with experience in data governance.

Responsabilidades

• Build and support data products within our modern data platform.
• Design and deliver data solutions with cross-functional teams.
• Develop and optimise data pipelines across the analytics platform.
• Ingest and integrate data from varied sources with quality controls.
• Maintain orchestration, monitoring and performance of data components.
• Promote high coding and data practice standards.
• Experiment with emerging data, ML and AI technologies.
• Collaborate with architects on data product designs.
• Support ML and GenAI infrastructure and workflows.
• Work in multi-functional agile squads.

Conocimientos

Databricks

Snowflake

Python (Spark/Airflow)

SQL & data modelling

Batch & real-time data integration

CI/CD (Git/Jenkins)

Terraform / IaC

Docker / Kubernetes

GenAI awareness

Collaboration

Herramientas

Git

Jenkins

Terraform

Docker

Kubernetes

Databricks

Snowflake

Descripción del empleo

Ageas UK is seeking a Senior Data Engineer to join our innovative data team. You will help design and build modern ML-ready data services supporting analytics across the business.

You will collaborate with data scientists, engineers and product teams to deliver scalable pipelines and data products on our cloud platform, enabling real-time and batch integrations while maintaining quality and governance.