Data Management Specialist

At Quooker, we believe that high-quality data is essential for growth, innovation, and informed decision-making. As a Data Management Specialist, you play a key role in further professionalising our data landscape. You ensure that data is reliable, consistent, and fit for purpose, enabling the organisation to work in a truly data-driven way based on clear definitions, standards, and quality principles.

You work closely with colleagues across different disciplines and act as the connecting link between business, processes, and data. In this role, you analyse datasets within Microsoft Fabric, develop methods for measuring data quality, and translate insights into tangible improvement initiatives. You monitor progress, make results transparent, and ensure that improvements demonstrably enhance the quality of our most critical data assets.

In addition, you are responsible for maintaining and continuously improving data and KPI definitions. You advise business analysts and other stakeholders on data standards, governance, and data quality matters, while ensuring that policies, guidelines, and agreements remain up to date. Through your expertise, trust in data grows and the organisation’s overall data maturity continues to evolve.

Beyond identifying improvement opportunities, you are skilled at building engagement and support across the organisation. You can translate complex data-related challenges into clear and actionable insights for a variety of audiences and help teams embed data quality as a structural part of their daily ways of working.

You will become part of our Data Competence Center, where you will collaborate with experienced architects and data & analytics engineers. Within this environment, you will have ample opportunity to exchange knowledge, further develop your expertise, and actively contribute to the continued growth of data management at Quooker.

These are the employment benefits

• An open culture where you come first and we openly share appreciation and feedback, so you always know where you stand.
• Quooker pays 75% of the pension contribution and you pay 25%.
• 27 days of annual leave, with the option to accrue 13 additional days off through a working time reduction (ATV) scheme.
• Hybrid working: four days at our office in Ridderkerk and one day from home.
• With flexible working hours, you can start between 7.00 a.m. and 9.00 a.m. and finish between 3.30 p.m. and 6.00 p.m.
• Quooker’s bicycle scheme supports you in purchasing a bicycle for commuting.
• A 15% discount on supplementary health insurance with Zilveren Kruis Achmea.
• You also receive €5 net per month if you have supplementary physiotherapy cover, regardless of your health insurer.
• Through the Quooker well-being programme, you can join sports classes several times a week directly after work.
• You also receive a monthly sports allowance of €25.
• An annual programme of training and education for your personal and professional development. We are also happy to help you find training or education that aligns with your role and learning goals.
• Free fresh fruit every day and a healthy, affordable lunch in our company restaurant.
• A good employee discount, allowing you to experience the convenience of a Quooker at home.

About Quooker’s BI & IM team

The Business Intelligence & Information Management (BI & IM) team consists of a BI & Information Management Manager, six Business Analysts, and a Data team (consisting of a DCC Team Lead, two Data / BI Specialists, and a Lead Data Engineer). Together, you are responsible for Quooker’s digital transformation and the solid setup of the IT and data landscape and related processes.

The team works closely with the IT department, internal stakeholders, and external partners. In practice, the BI & IM department acts as the linking pin between the business and IT (partners), translating functional requests into working solutions and processes.

These are the job requirements

• Bachelor’s or master’s degree level (or equivalent), preferably in business information management, computer science, business analytics, data science, or a related field.
• Experience with data governance, data quality, data definitions, and/or KPI management.
• Knowledge of modern data platforms, preferably Microsoft Fabric, and experience in analysing and improving datasets.
• Strong analytical skills, with the ability to translate complex data challenges into tangible improvement initiatives.
• Excellent communication and stakeholder management skills, with the ability to connect business, processes, and data.