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Lead Developer

Utrecht, Netherlands

Soort baan

Permanent (32, 36 or 40 hours)

Over de rol

When you work for Kinsman, you get the chance to solve some of the toughest and biggest data-related obstacles. Problems that are challenging and demanding necessitate careful consideration and diligence, but they can also be rewarding. When a company needs "the best in data," it will reach out to Kinsman. You spend the majority of your time designing, developing, and maintaining a robust and extendable data base for the corporate reporting and analytics environments of our customers. You will actively take part in the decision-making, planning, and execution of projects that are intended to restructure and enhance the tech stacks and data architectures of our customers.


  • A completed bachelor or master education such as Computer Science, Informatics, Technical Business Administration or similar.

  • Ideally several years of relevant work-experience in a similar role or several years of experience as a Full Stack Developer.

  • You have knowledge of programming languages such as Java, SQL, DAX, Python.

  • You have skills in using various database technologies such as SQL, NoSQL, modelling the data storage environment and able to take respective technology decisions.

  • You are experienced with descriptive, predictive and prescriptive analytics solutions such as Azure Stream Analytics, Azure Analysis Services, Data Lake Analytics, Spark, Databricks, SSAS.

  • You are familiar with Agile working methods (ideally Scrum or Kanban).

  • You are used to advise colleagues (unsolicited) about solutions and opportunities that you see. And you like it when colleagues do the same to you.

  • You get energy from working in a team.

  • You inspire and motivate your colleagues.

  • You have knowledge of development-, test- and project-management-methods.

  • You don't shy away from looking for the unknown without knowing the exact outcome.

  • You can explain complex issues within your field in an understandable way to a wide audience.

  • A good command of the English language in word and writing.

  • Profound knowledge of the Dutch language is neccessary.

Over het bedrijf

We at Kinsman work with some of the largest and fastest expanding businesses in the world. We work together on intriguing projects across a diverse range of industries and businesses, offering the best service possible thanks to our exceptional team.

Data analytics, data science, and data engineering are all services that Kinsman offers to its clients. Every one of our customers is able to set up a data infrastructure that satisfies their own needs thanks to the experience of our specialists.
Kinsman practices equal opportunity as an employer. We evaluate candidates' competencies and professional accomplishments before assembling our teams. We believe that long-term success is based on understanding, respecting and developing the individual. We know how important it is to develop your talents and help you reach your full potential. This means ensuring trust and support. We bring the power of progress exactly where it belongs: to you.

We’re growing fast, which means abundant opportunities for your career to grow, too. We take a proactive approach to career advancement, constantly creating new roles and promoting on merit, and not because we need to fill a vacancy in a rigid corporate structure.
We invest in training to help you take your career where you want it to go. From day one you will have a buddy whose job it is to help you settle in. We will discuss where you want to be and devise a training plan to cover any skills gaps and ensure you are working towards your goals. We map out career paths to provide a clear structure for development and promotion.

Jouw belangrijkste taken

  • Managing the Development Team.

  • Designing, developing, and maintaining the whole data infrastructure and architecture at Coroplast.

  • Strong interaction with the Application- and Infrastructure Management Team to take technology-based decisions.

  • Highly interact with Management Colleagues with regards to demand management.

  • Contribute to data literacy projects.

  • Providing in-house training and substantively guiding colleagues in the team.

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