TL;DR

Senior Data Engineer (GenAI): Design and implement secure, scalable data pipelines and AI solutions within Azure and Databricks ecosystems for %hirify_global%’s Wholesale & Rural division with an accent on GenAI workflows and compliance. Focus on building and optimizing data platforms, integrating LLM-based applications, and mentoring engineers to foster innovation and collaboration.

Location: Must be located in the Netherlands, hybrid work format in Utrecht.

Salary: €4,516–€6,449 gross monthly for a 36-hour work week, plus a thirteenth month, 8% holiday allowance, and a 10% Employee Benefit Budget.

Company

%hirify_global% is a global financial services provider supporting over 9.5 million customers worldwide, committed to innovation, diversity, and societal impact.

What you will do

Develop and maintain secure, scalable data pipelines using Python, SQL, and Databricks ensuring compliance and technical excellence.
Integrate Azure AI services and vector databases to enable advanced analytics and GenAI workflows.
Collaborate with data scientists, prompt engineers, and business stakeholders to operationalize AI models and align solutions with organizational objectives.
Operate within the Azure ecosystem and Databricks environment for experimentation and innovation.
Mentor other engineers and contribute to a culture of technical excellence and innovation.

Requirements

Must be located in the Netherlands.
Master’s or Doctorate in Data Science, Computer Science, or related field.
At least 4 years of experience in a similar data engineering role.
Knowledge of LLM architectures and agentic frameworks (e.g., multi-agent orchestration, tool-augmented reasoning).
Certifications in Azure AI Engineer or equivalent.
Experience in financial services or regulated industries.
Excellent communication and stakeholder engagement skills.

Culture & Benefits

Hybrid working environment balancing home and office work.
Personal development budget of €1,400 per year.
Thirteenth month salary, 8% holiday allowance, and 10% Employee Benefit Budget.
Focus on diversity, inclusion, and societal impact including food and energy transitions.
Supportive team culture emphasizing autonomy, technical depth, and visible impact.

Hiring process

Application submission with confirmation email.
One or more online interviews, possibly including assignments or assessments.
Offer extended after successful evaluation and legal screening.
Welcome and onboarding upon acceptance.