Senior Data Engineer – Insurance, Pensions

Rabobank

. Design, develop and optimise data platforms connecting internal and external systems across Insurance & Pensions and its partners .

Posted 9/20/2026full-timeUtrecht • NetherlandsSenior💰 €5,030 - €7,183 per monthWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and developing cloud-native data platforms, ensuring reliable data movement and high-quality analytics solutions. Proficient in implementing Infrastructure as Code and promoting maintainable engineering practices while collaborating effectively with cross-functional teams.

Highest-signal resume keywords

Data EngineeringCloud Platform ExpertisePython ETL DevelopmentAzure Data FactoryCI/CD Best Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModellingData WarehousingApache AirflowAzure DatabricksSQLInfrastructure as CodeBicepTerraformCloudFormationScripting

Soft Skills

Problem-SolvingOwnershipCollaborationCoachingMentoring

Tools & Technologies

Azure FunctionsAzure DevOpsAWS LambdaAutomated TestingMonitoringObservabilitySecrets ManagementSecurity Best Practices

Industry Keywords

InsurancePensionsData LakehouseETL FrameworkEvent-Driven Architecture

Tech Stack

Tools & technologies

AirflowApacheAWSAzureCloudETLPythonSQLTerraform

About the role

Key responsibilities & impact

Design, develop and optimise data platforms connecting internal and external systems across Insurance & Pensions and its partners
Ensure reliable data movement, scalable models and high-quality analytics solutions
Translate complex business requirements into robust, maintainable cloud-native solutions
Establish best practices for Infrastructure as Code, automated testing, code coverage, maintainability, CI/CD optimisation and uniform coding standards
Transform the metadata-driven ETL framework into an event-driven architecture using the existing metadata database and Python ETL package
Develop a self-service data platform for consumers to create and maintain queries using data products to populate the gold layer of the data lakehouse
Design and maintain secure, reliable and scalable cloud-native data platforms, integrations and pipelines
Develop transformation logic and orchestration solutions supporting operational processes, regulatory requirements and analytics
Lead technical improvements through architecture guidance, DevOps automation, mentoring and consistent engineering standards
Collaborate with business specialists, architects, analysts and engineers to improve the data landscape

Requirements

What you’ll need

Strong combination of data engineering, cloud platform and software engineering expertise
Experience with Azure Data Factory, Azure Databricks, Python, SQL, data modelling, data warehousing and Apache Airflow
Experience with Azure Functions, AWS Lambda, Infrastructure as Code using Bicep, Terraform or CloudFormation
Experience with Azure DevOps, scripting and networking fundamentals
Knowledge of CI/CD, automated testing, monitoring, observability, operational support, secrets management and security best practices
Ability to promote maintainable, scalable and standardised engineering practices
Coaching and mentoring colleagues while fostering knowledge sharing
Strong problem-solving skills, ownership and effective collaboration
Reliability check is part of the procedure

Benefits

Comp & perks

Thirteenth month's salary
8% holiday allowance
10% Employee Benefit Budget
EUR 1,400 development budget per year
Hybrid working: balance between home and office work
Pension with flexible personal contribution amount
Healthy balance between work and home