Senior Data Engineer (AWS/Databricks)

TL;DR

Senior Data Engineer (AWS/Databricks): Designing and building scalable data foundations for the Rabo Online Platform with an accent on pipeline reliability, data quality, and cross-platform insights. Focus on developing transformation logic, managing orchestration in a cloud-native environment, and ensuring system scalability for 160+ squads.

Location: Must be based in the Netherlands and have the legal right to work in the Netherlands. Hybrid role based in Utrecht.

Salary: €5,030 – €7,183 gross per month (scale 09).

Company

hirify.global is a leading international financial services provider committed to societal impact and sustainable banking.

What you will do

• Design, build, and maintain scalable data ingestion pipelines for the Data Loom platform.
• Develop transformation and enrichment logic to produce clean, reliable datasets.
• Package ETL pipelines into Python wheel files and manage orchestration using Databricks and AWS.
• Monitor pipeline health, build alerting, and maintain high data quality standards.
• Collaborate with platform service teams to define data contracts and schemas.
• Contribute to the design of scalable, governed data models aligned with enterprise standards.

Requirements

• Must be located in the Netherlands with the legal right to work in the Netherlands.
• 3–6 years of hands-on experience as a Data Engineer.
• Strong proficiency in Python, SQL, and PySpark for large-scale transformations.
• Proven experience with Databricks or the Delta Lake/Lakehouse paradigm.
• Experience building and operating ETL pipelines in a professional setting.
• Ability to translate technical requirements between engineers and non-technical stakeholders.

Nice to have

• Experience with GraphQL for data exposure.
• Familiarity with internal developer platforms or platform engineering.
• Understanding of enterprise data integration patterns like event-driven ingestion or CDC.
• Experience working in regulated financial services environments.
• Affinity with AI/LLM-driven analytics.

Culture & Benefits

• Hybrid working environment with a balance between home and office.
• Thirteenth month, 8% holiday allowance, and 10% Employee Benefit Budget.
• Annual personal development budget of €1,400.
• Focus on diversity, inclusion, and personal growth.
• Opportunity to work on large-scale banking services impacting millions of customers.

Hiring process

• Review of resumes and covering letters.
• One or more online or in-person interviews.
• Potential technical assignment or assessment.
• Legal screening as part of the final procedure.