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Ohpen

The Netherlands / Global

Data Governance & Data Management Engineer

Job Description

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' experiencewith 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 andare able towork 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

,

or data modeling

You have an interest in or experience with AI-assisted development or automation

Personal Profile

Youare able tocombine 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 h igh-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.

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