Data Engineer

Description Do you want to join

a fintech company

where you can drive innovation, enjoy

autonomy

and have

freedom

to organize your time? Ohpen is seeking a skilled and motivated

Data Engineer

to join our data team in Amsterdam. If you're passionate about

building efficient data solutions

and excel in a

collaborative environment , we'd love to hear from you.

About You

You have

3-5 years

of experience as a

Data Engineer o r in a similar role.

You have a strong understanding of

data architecture, data modelling, data governance, and ETL processes.

You have strong proficiency in languages and tools such as

Python, SQL and PySpark.

Experience with banking software or knowledge of the banking domain, particularly

mortgages , is highly valuable. We are looking for someone who is genuinely interested in the domain, and not just the technology.

Experience in a DevOps environment and familiarity with

Terraform or similar IaC tools

and technology such as

GitHub Actions

is highly desired.

You have proficiency in

Dutch and English.

You have strong problem-solving and analytical skills.

You excel in communication and collaboration, with the ability to clearly explain complex data issues and solutions to a diverse range of stakeholders. You like engaging with clients directly.

Why us? You will be a 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 blend technical skills with domain expertise to help define the future of data at Ohpen.

Briefing Responsibility of client data processing:

You'll design, implement, troubleshoot and optimize data pipelines to ingest, process, and transform large volumes of financial data efficiently.

Collaborate with cross-functional teams:

Work closely with highly professional and diverse teams to integrate robust data solutions into cloud-based architectures. Challenge and be challenged by your co-workers to automate everything from deployment to documentation to testing using tools such as github actions, terraform, copilot and GenAI tooling.

Elevate our Data Lake infrastructure:

Enhance and maintain our Data Lake to ensure top-tier data quality, security, and accessibility, supporting the flow of information across the Ohpen platforms. Leverage AWS services such as S3, Lambda, Glue, Athena, DynamoDB and Aurora in implementation and optimization.

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