Senior Data Engineer Insurance & Pensions Platform (Hybrid)

Rabobank; Utrecht; Hybrid; EUR 56,000 - 80,000; Full time

Benefits offered by this job

Thirteenth month

Holiday allowance 8%

Employee Benefit Budget

Development budget

Job summary

Rabobank in the Netherlands is seeking a Senior Data Engineer for Insurance & Pensions to design, develop and optimize data platforms that connect internal and external systems, enabling reliable data movement and high‑quality analytics. You will translate business needs into cloud-native solutions, build self‑service data tooling, and lead engineering standards, CI/CD, and coaching across the team.

The role combines data logistics with analytics across a large customer base and supports

Qualifications

• Experience designing, developing and operating cloud-native data platforms for analytics.
• Strong ability to translate complex business requirements into robust data solutions.
• Proven track record with data pipelines, ETL/ELT, and data governance.

Responsibilities

• Design and maintain cloud-native data platforms, integrations and pipelines for secure data exchange.
• Develop transformation logic and orchestration to support operations, compliance and analytics.
• Lead architectural improvements through DevOps automation, mentoring and engineering standards.

Skills

Azure Data Factory

Azure Databricks

Python

SQL

Data modelling

Data warehousing

Apache Airflow

Azure Functions

AWS Lambda

Infrastructure as Code

Azure DevOps

CI/CD

Automation

Monitoring

Tools

Terraform

Bicep

CloudFormation

Job description

Rabobank in the Netherlands is seeking a Senior Data Engineer for Insurance & Pensions to design, develop and optimize data platforms that connect internal and external systems, enabling reliable data movement and high‑quality analytics. You will translate business needs into cloud-native solutions, build self‑service data tooling, and lead engineering standards, CI/CD, and coaching across the team.

The role combines data logistics with analytics across a large customer base and supports