Magnet.me  -  The smart network where students and professionals find their internship or job.

The smart network where students and professionals find their internship or job.

Data Quality Specialist

Posted 9 Jun 2026
Share:
Work experience
3 to 7 years
Full-time / part-time
Full-time
Job function
Salary
€65,000 - €95,000 per year
Degree level
Required languages
English (Fluent)
Dutch (Fluent)

Build your career on Magnet.me

Create a profile and receive smart job recommendations based on your liked jobs.

As the Data Quality Specialist, you will play a key role in realizing ambitions while building both the future of Vopak and your own.

Why you’ll love working with us

  • 30 vacation days, with the option to purchase 10 additional days.
  • An excellent pension scheme with only a 4% personal contribution to our own Vopak pension fund.
  • We cover 50% of your health insurance premium.
  • Net internet allowance of 40 euros per month on a full-time basis.
  • We will continuously invest in your personal growth, and future career path within Vopak.
  • Great atmosphere! Plenty of freedom, room for initiative, and colleagues with a good sense of humor.

Beschrijving van deze vacature

Vopak helps the world flow forward. We store the energy of today and tomorrow. But behind our impressive terminals and tanks, it is our people who make the difference. To strengthen our leading position in the energy transition and global trade, we are looking for your talent.

Your Mission

As the Data Quality Specialist, your mission is to optimize, expand, and create practices that improve the quality of data across our entire IT/OT landscape. By ensuring our data is reliable and well-governed, you will directly support our North Star of becoming an "Efficient IT Operator," enabling IT to be "Better, Faster, and Cheaper". Operating within the newly formed Corporate Information Office, you will ensure vital "data readiness" for new AI and analytics opportunities, acting on the principle of applying "Data and AI with value discipline".

What will you be doing?

  • Maintaining the Data Quality (metrics) framework and designing Data Quality Dashboards to proactively discover bad quality data across APIs, pipelines, and AI/ML models.
  • Participating in business and IT projects to determine data quality requirements and ensure data readiness checks are completed for new AI and analytics opportunities before they are piloted or scaled.
  • Working together with business stakeholders, data owners, system architects, and Data/ML Engineers to improve data pipelines, ML algorithms, and overall data quality management.
  • Establishing and supporting a community responsible for data quality, providing consulting services, and facilitating the DQ incident and problem process to solve complex data quality issues.

Does this sound like you?

  • You have a Master's Degree professional and intellectual level.
  • You have 3+ years of relevant work experience in an Enterprise Data Quality Specialist role.
  • You are proficient in both Dutch and English.
  • You have strong technical experience with Data Governance, Data Quality Tooling, Data Catalogs, data modeling, business rules, and working SQL knowledge.
  • You possess demonstrated strong analytical and problem-solving skills, coupled with excellent stakeholder management abilities to coordinate improvements across complex global teams.

Don’t meet all our criteria?

No problem! If this role energizes you and our culture feels like a good fit, we warmly invite you to apply anyway.

Royal Vopak is 's werelds toonaangevende onafhankelijke tankopslagbedrijf. We slaan vitale producten met zorg op. Met meer dan 400 jaar geschiedenis en een focus op innovatie en duurzaamheid, zorgen we voor veilige, schone en efficiënte opslag en behandeling van vloeibare bulkproducten en gassen. Producten die essentieel zijn voor het bestaan van mensen.
Werken bij Vopak betekent dus waarde toevoegen aan het dagelijks leven van mensen. Wil jij ook impact maken? Wij leren je graag kennen!

Logistics
Rotterdam
Active in 30 countries
1,100 employees
70% men - 30% women
Average age is 35 years