Data Engineer

This isn't a role where you maintain what someone else built. This is the role where you build it.

As our first Data Engineer, you'll lay the data foundation for a growing pan-European insurer — from architecture to pipelines to the data products that actually drive decisions. You'll work directly with the business, translating sometimes messy operational reality into clean, reliable, model-ready data. Your role is the data engineer, but allows for input into areas like architecture, stewardship.

The goal is a single source of truth: one Azure Databricks lakehouse that integrates data from all our partners, powers underwriting and claims and gives us the visibility to run a smarter business. You'll help define how that gets built — and you'll see it go live.

• Help architect and implement a cloud-native (Azure) Databricks lakehouse from scratch

• Design and implement pipelines for data

• Help establish the scope of the use case pipeline

• Work closely with the external implementation consultant to define solution architecture and deliver against milestones

• Partner with the Data Steward to define ownership, classification and retention policies

• Enable the Data Analyst by delivering clean, structured, well-documented datasets

• Identify and reduce manual data processing across the business

Required

• 5+ years of experience as a Data Engineer, with demonstrable experience building data warehouses and/or lakehouses

• Strong Python skills

• Hands-on experience with Databricks and medallion architecture

• Knowledge of Configuration Management, CI/CD and Azure integration and management

• Experience with data quality frameworks and data governance principles

• Ability to work independently and make architectural decisions in an ambiguous, start-from-zero environment

• Strong communication skills — you can translate technical design into business language

• Fluency in English

Preferred

• Experience in and passion for a “build” culture in a start-up/scale-up environment

• Experience in insurance, financial services or MGA environments

• Familiarity with Dutch insurance data structures (WIA, WGA, Verzuim)

• Dutch language skills

• Databricks Associate/Professional Data Engineer certification

You will join a small team and report directly to the COO. This is not a support role — it is a builder role. You will have real ownership and direct impact on a strategic programme.

The data platform programme is the top strategic priority for 2026–2027. You will initially have access to external consulting support for architecture guidance. There is an internal Data Steward for governance tasks, receipt of data and data quality checks, but you set the technical direction. There is also a data analyst as part of the team.

Quantum Leben operates in the Netherlands from our office in Eindhoven, with hybrid working arrangements. Total Quantum Leben is roughly 55 people.

• A lead role in building something that will help Quantum Leben scale further

• A lean environment with fast decision-making — no committee culture

• Competitive compensation package, including 25 days off, pension arrangement

• Flexibility in work location (Eindhoven, hybrid) – one day per week in the office minimum

• A growing, pan-European insurance organisation at an exciting stage of development

If you have questions about the application, send an email to Edmé Christophe (edme.christophe@quantumleben.com).

To apply, send your CV and a concise motivation letter to: hr@quantumleben.com.

In your motivation letter, please address: What is your approach to successfully building a data warehouse from scratch?

Quantum Leben is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment.