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Data Governance & Data Management Engineer

Amsterdam - Rokin 111, 1012 KN

Pay
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Work setup
Unconfirmed
Employment
Unconfirmed
Apply at Ohpen Technology B.V.

What you’ll bring

All qualifications

Core experience

  • You have 2+years' experience with data governance, data management, or data architecture in a financial institution or similarly complex environment
  • You have proficiency in Dutch and English
  • You have experience working in cross-functional environments with both business and engineering stakeholders
  • You have experience with data platforms, metadata management, or data modeling
Qualification wording
You have 2+years' experience with data governance, data management, or data architecture in a financial institution or similarly complex environment
You have proficiency in Dutch and English
You have experience working in cross-functional environments with both business and engineering stakeholders
You have experience with data platforms, metadata management, or data modeling

Tools in this posting

  • Terraform
  • SQL
  • Python
  • AWS
  • Airflow
  • Django
Source — Tool mentions in context
Technical Skills - You have a strong technical affinity and are able to work hands-on with data systems and codebases - You have strong skills in Python, SQL, infrastructure-as-code (Terraform), and cloud development (AWS)- Experience with Django and Apache Airflow is a plus - You have experience with data platforms, metadata management, or data modeling

Job description

View original posting ↗

Description

Do you want to join a fintech company where you can help build a scalable and transparent data environment? 

Ohpen is looking for a Data Governance & Data Management Engineer to join our Data team. 

In this role, you will play a key role in improving how data is defined, managed, and governed across our platform, working closely with both technical teams and business stakeholders at our beautiful office in Amsterdam. 


Briefing

Drive data governance and platform development: 
You’ll design, implement, and improve our data governance platform, including metadata, lineage, and data definitions. You will actively populate and maintain governance artifacts, leveraging modern tooling and AI-assisted solutions to reflect the current state of our platform.
 
Support client implementations: 

Act as a subject matter expert in data governance during client implementations and discovery phases. You’ll help ensure data structures and flows are scalable, transparent, and well-governed, while engaging directly with clients on topics such as data lineage, lifecycle management, and data quality. 

Contribute to our data platform: 
As part of the Data team, you’ll contribute to the development of our data lake, expanding data products, and unlocking new data sources. You’ll help deliver high-quality, near real-time data while maintaining consistency across the platform. 

Strengthen data modeling and stewardship: 
You’ll facilitate data stewardship practices, identify and resolve data modeling challenges, and improve data ownership, definitions, and consistency across teams. 

Collaborate on internal data initiatives: 
Work closely with cross-functional teams on key initiatives such as business key standardization, code table harmonization, data modeling governance, and API design consistency.


About You

Experience 

  • You have 2+years' experience with data governance, data management, or data architecture in a financial institution or similarly complex environment
  • You have proficiency in Dutch and English
  • You understand concepts such as data lineage, data lifecycle management, and data quality frameworks
  • You have experience working in cross-functional environments with both business and engineering stakeholders
Technical Skills 
  • You have a strong technical affinity and are able to work hands-on with data systems and codebases
  • You have strong skills in Python, SQL, infrastructure-as-code (Terraform), and cloud development (AWS)
    • Experience with Django and Apache Airflow is a plus
  • You have experience with data platforms, metadata management, or data modeling
  • You have an interest in or experience with AI-assisted development or automation
Personal Profile 
  • You are able to combine strategic thinking with hands-on execution
  • You are a strong communicator who can engage both technical teams and business stakeholders, and you are willing to work from our office and occasionally travel to client locations
  • You are proactive and structured, with a focus on driving tangible improvements
  • You are comfortable operating in an evolving environment where priorities may shift


Why us?

You will be part of the Ohpen Data team, a talented and diverse group of professionals building the next generation of our data platform. In this role, you will combine technical expertise with domain knowledge to help shape how data is managed within a leading SaaS platform for financial institutions. 

You will have the opportunity to work on high-impact client implementations, contributing directly to how we deliver value to our clients. Operating at the intersection of data governance and modern AI-assisted capabilities, you will play a key role in evolving our data landscape and driving innovation across the platform.
 
You will work in a collaborative environment with strong ownership and autonomy, where you are encouraged to take initiative, contribute ideas, and make a tangible impact on how we structure, govern, and use data at scale.

Your next step

  • Have your CV and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.
  • Ask the employer about the salary range before committing time to the process.

Complete your application on ohpen.jobs.personio.com. The employer’s form will show what is required.

Already applied? Track this application

Source & posting history

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Pay

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Location & working pattern

Amsterdam - Rokin 111, 1012 KN

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Status in our records
Active
First seen by us
Jun 2, 2026
Recorded sightings
18
Last seen by us
Oct 1, 2026

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