Wolters Kluwer

Senior Data Engineer

Job description

As our data engineer you will apply the latest technologies and tools to implement complex big data platform architectures and pipelines. You will be closely working with domain experts, data analysts and senior stakeholders to drive successful implementation and maintenance of complex solutions. On top of your profound technical capabilities, your success will strongly depend on your interpersonal skills and your ability to communicate across disciplines.
Within the business unit Tax & Accounting of Wolters Kluwer, you will work within a newly formed and multidisciplinary team to build data and analytics capabilities. This team is part of an ambitious transformation program which aims to transform our organization into a multi-product, customer centric organization. Central to this transformation is to enable the organization to become data driven and create the most value of their data.
Your responsibilities within this team are to model, design and analyze data flows from, to and within the data and analytics platform. As well as design the data architecture keeping in mind data quality, data modelling, ETL approach, data storage, etc.
This is what makes working at Wolters Kluwer interesting:
Wolters Kluwer Tax & Accounting delivers software products to finance professionals, among which the online accountancy product Twinfield. At international level we belong among the top accountancy software and related services vendors. Thanks to our products, accountants and entrepreneurs can rely on a simple and safe way of working. We make this possible mainly in the Netherlands, but we would not accomplish much without the help of more than 100 colleagues based all over the world. For example, in Ukraine and India. Beside this international character, Twinfield has managed to keep an informal and personable approach all over the office floor, as you may taste every day during the free lunch buffet.
Your profile
As a data engineer you are a problem solver with good communication skills to both technical and business audiences. You are able to learn, get feedback and have self-refection on your own performance and results. Beside that you are an enthusiastic and proactive team player.
  • Educated to Bachelor / Master degree level; preferably in a technical area.
  • 2 - 6 years’ experience as data engineer or ETL engineer;
  • Deep understanding of SQL languages;
  • Experience with setting up and managing complex data infrastructure;
  • Experience with ETL development;
  • Data modelling capabilities from BI or data warehousing;
  • Experience with Python.
  • Experience with Data Factory.
Knowlegde of the Dutch language is a definite plus. Do you already live in the Netherlands and don’t speak the language yet, but are you eager to learn it on the job? Please feel free to apply!
We offer:
  • A 36- to 40-hours working week with flexible working hours, hybrid working;
  • A salary fitting your skill level;
  • On top of that, you will be entitled to reimbursement of travel costs, € 0,19 per kilometre if you travel by car. If you travel by public transport, we refund the costs entirely. Our office lays within 3 minutes walking distance from the station and there is ample parking space, free of cost;
  • 25 vacation days on the base of 40 hours;
  • Wolters Kluwer refunds 50% of your pension contributions;
  • When we are back in the office coffee from freshly toasted fair-trade beans and every day delicious fresh fruit.
How to apply
Upload your CV via the application button in this vacancy. We will try to let you know if you will be invited for a first interview within 5 working days.
Do you want more information about the recruitment process before you apply? Please contact Eelkje Nieuwland, Corporate Recruiter, at:
eelkje.nieuwland@wolterskluwer.com
Wolters Kluwer does recruitment autonomously. Acquisitions on the base of this vacancy are not appreciated.

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