Data Quality Specialist

Storing vital products with care

Storing vital products with care

Agile manier van werken
Diverse werkomgeving
Teamwork

Data Quality Specialist

Do you want to work at the intersection of the energy transition and making an organization more data-driven? Do you believe this can only be done with good data quality and do you know how to improve the quality of data? Then this role might be something for you.

Vopak is well underway to become a digital and data-driven organization. We have been standardizing our business processes across our terminal network, modernizing our application landscape, invested heavily in a data management program and data infrastructure foundation as well as speeding up the utilization of data to improve our customer service, make our operations more efficient, reduce our energy consumption and greenhouse gas emissions and share our data with partners in the logical supply chain. 

In a brand new department within Global IT, the Data and Analytics Office, all data capabilities needed to support Vopak's data journey are centralized, ranging from Data Engineers & Data Scientists to Data Quality specialists and Data Architects. 

As a Data Quality Specialist you will be responsible for optimizing, expanding and creating new practices that will improve the quality of our data in our complete landscape. A start is currently being made with formalizing MDM and DQ processes including a limited set of data quality monitoring dashboards. We believe we need to further improve upon this to include more data, more components in our landscape (APIs, Data pipelines, AI/ML models), be more proactive in discovering bad quality data, and a more self-service model. 

You will become part of the global data management team and work together with business stakeholders, data- and system architects, data- and machine learning engineers to improve the quality of our data. We are in the process of selecting data quality tooling that will help us in doing so.

Responsibilities:

  • Maintain and improve the Data Quality (metrics) Framework

  • Together with business stakeholders, determine data quality requirements

  • Design Data Quality Dashboards

  • Participate in business / IT projects to improve the data quality

  • Proactively look for areas of DQ improvement

  • Provide consulting services to data owners on data quality management

  • Together with data architects, improve data quality management

  • Together with Data/ML Engineers, improve data pipelines and ML algorithms

  • Coordinate DQ improvements across teams

  • Establishing and supporting a community responsible for data quality

  • Analyze and solve complex data quality issues

  • Facilitate the DQ incident and problem process
     

Requirements:

  • Preferably 3+ years of experience in an Enterprise Data Quality Specialist role

  • Master Degree

  • Preferably experience with stakeholders management in a complex organization

  • Experience with Data Governance

  • Experience with Data Quality Tooling and Data Catalogs

  • Experience with data modeling and business rules

  • Working SQL knowledge 

  • Strong written and verbal communication

  • Demonstrated strong teamwork, interpersonal and communications skills

  • Demonstrated strong analytical and problem-solving skills
     

What we can offer:

  • Market conform salary depending on skills and experience

  • Bonus opportunity

  • Travel allowance

  • 30 holidays on an annual basis

  • Collective Health Insurance (contribution Vopak of 50% of basic package)

  • Vopak's own pension scheme https://pensioenfonds.vopak.com/

  • We will continuously invest in your personal growth, and future career path within Vopak
     

Interested?

Then apply via the ‘apply' button below. For questions about the position please contact the hiring manager Paul Post. For questions about the process please contact the Recruiter.

An e-assessment may be a part of the selection procedure.


Vopak is an equal opportunity employer. Everyone is different, and the differences in people allow us to match our ambitions and drive inclusion across the business. That's why we are curious about who you are!


 

Sollicitatie procedure

1
Stap 1
Solliciteer
2
Stap 2
1e interview
3
Stap 3
Online assessment
4
Stap 4
2e interview
5
Stap 5
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