Data Governance & Data Management Engineer

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.