TL;DR
Junior Data Engineer (Data Science/ML): Building and maintaining reliable data foundations and ETL processes to power insights across the organization with an accent on data transformation, modeling, and BI tool proficiency. Focus on developing technical skills in SQL, Python, and DAX while working in a hybrid setting and participating in a structured early career development program.
Location: Hybrid from Utrecht, Netherlands
Salary: €3,314–€4,733 gross monthly
Company
hirify.global is a leading Dutch financial services provider focused on banking and fintech solutions.
What you will do
- Collaborate with a team of data engineers, translators, product owner, and scrum master to deliver actionable insights and reporting solutions.
- Design, develop, and maintain ETL processes ensuring accurate and timely data flow.
- Build data building blocks and innovative solutions for various internal clients within Retail NL.
- Continuously learn and enhance proficiency in data engineering and BI tools like Databricks and dbt.
- Participate in the Early Career Programme with dedicated training days to develop technical and soft skills.
Requirements
- Location: Must be able to work hybrid from Utrecht, Netherlands
- Completed a master's degree in Computer Science, IT, Data Science, Software Engineering, ICT or similar.
- 0 to 2 years of work experience.
- Experience with SQL; Python and DAX are a plus.
- Eagerness to learn, self-reflection, and strong collaboration skills.
- Fluent English required (implied by job language).
Culture & Benefits
- Gross monthly salary between €3,314 and €4,733 for a 36-hour work week.
- Thirteenth month, 8% holiday allowance, and 10% Employee Benefit Budget.
- €1,400 development budget per year for growth and development.
- Hybrid working balance between home and office.
- Flexible pension contribution options.
Hiring process
- Submit CV and motivational letter (both required).
- Online assessment to evaluate skills, adaptability, and motivations.
- One or more video interviews to assess role and team fit.
- Selection day at office with assignment, interviews, and meetings with colleagues.
- Legal screening before final offer.
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