Jobs in the Netherlands, in English.

Data Engineer

Hybrid in Rotterdam·Full-time·Added yesterday (last checked 12 Nov)

KPN

55 open roles

Our summary

Work mode
Hybrid, Rotterdam
Contract
Full-time
Languages
Dutch

Skills

This job advert was originally written in Dutch.

Requirements

What we're looking for

This is what we ask of you:

  • Minimum HBO (higher professional education) working and thinking level.
  • Experience as a Data Engineer or in a comparable role.
  • Experience with ETL/ELT processes and data integration.
  • Experience with Azure, Microsoft Fabric, Synapse, or comparable cloud data platforms.
  • Experience with CI/CD and version control.
  • Good communication skills.
  • Experience with DBT or comparable data transformation tools is a plus.
  • Good command of the Dutch language at a professional level, both oral and written (hard requirement).

Nice to have

  • Good command of the English language

Pay & benefits

What you'll get

  • A gross monthly salary of at least € 4,658  and at most € 6,814 depending on your work experience, based on 40 hours excluding 8% holiday allowance
  • Fixed 13th month, part of which you receive monthly and part in January of the following year. Or, you can use it for a FLEX & BOOST goal of your choice! Click here to read more about it
  • An annual individual and collective increase in accordance with our CAO
  • € 1500 per year in availability budget that you may use at your own discretion for, for example, training, coaching, and courses
  • Flexible days off: our colleagues may decide for themselves (in consultation with the manager) how they manage their leave
  • A good work-life balance
  • Home office workshop to optimally set up your workspace at home, including a mobile phone & laptop, of course
  • 50% discount on our products and services, so you can browse the internet, call, and stream affordably
  • Good travel expense reimbursement: you receive full reimbursement for your public transport costs or € 0.23 per kilometer if you travel by car. Prefer to come by bike? Then you can claim our bicycle allowance of € 0.40 per kilometer
  • Possibility to purchase a lease bike that KPN contributes to monthly (with an indefinite contract): from city bikes to e-bikes and from racing bikes to speed-pedelecs; you choose what you ride
  • Excellent pension conditions: a total contribution of 23% of your pensionable salary, of which KPN contributes 16% and you 7%

The role

KPN has an open network policy. The open network policy is one of the key pillars in the 'Connected Networks' strategy. It means that parties other than KPN can make use of our network. KPN Wholesale is the provider towards customers in this regard, and thus acts as the wholesaler for KPN. And that is paying off, because KPN Wholesale grows year after year by selling access and services to other service providers. In this way, we connect more and more partners to our network AND we make optimal use of our network. In short: We connect everyone! 

The Digital Transformation department within KPN Wholesale accelerates the digital development of the Wholesale organization. We are responsible for data, analytics and AI to strengthen data-driven working and realize business impact. Additionally, we develop and optimize digital channels, including the website and other customer platforms. We stimulate digital adoption so that new technologies are successfully applied. With a strong focus on Customer Experience, we continuously improve the digital customer journey and value creation. 

The Data, Analytics & AI team, of which you will become a part in this role, contributes to this by working on a futureproof data platform, excellent data quality, reliable insights, and valuable analyses that move Wholesale forward. You will join a multidisciplinary and informal team consisting of three analysts and three engineers. There is plenty of room to grow, both professionally and personally. 

What you'll do

As a Data Engineer, you are, together with the team, responsible for developing, managing, and optimizing the Wholesale data warehouse. You play a key role in designing and realizing future-proof data products that are crucial for decision-making within KPN.

You ensure that data is made available to the business in a secure, reliable, and scalable manner. In doing so, you not only build high-quality data pipelines and data models, but you also identify and realize technical and conceptual innovations. You actively contribute ideas regarding the further development of the data platform and anticipate new developments within the field.

The coming period for the team is focused on two important challenges: developing new data products on the existing Azure platform and the migration to a modern data warehouse based on Microsoft Fabric. This makes the role interesting for Data Engineers who enjoy working on both innovation and transformation.

  • Developing and managing data pipelines in Microsoft Fabric and Azure Data Factory.
  • Unlocking data from operational source applications.
  • Modeling and transforming data with SQL and developing generic, scalable, and metadata-driven data solutions.
  • Developing scalable storage structures based on Parquet, Delta Lake, and Data Warehouse technology.
  • Automating deployment processes with Azure DevOps and CI/CD.
  • Monitoring performance, reliability, and data quality.
  • Investigating and resolving production incidents.
  • Collaborating with data analysts, product owners, architects, and application teams.
  • Applying AI tools such as GitHub Copilot to accelerate development and documentation.

Help build the Microsoft Fabric transition at KPN

As a Data Engineer, do you want to play a key role in the migration of the Wholesale Azure data warehouse to Microsoft Fabric? Within the Wholesale Data & Analytics team, we are building new data products and migrating our Azure data warehouse to a modern data platform based on Microsoft Fabric.

You will work with technologies such as Microsoft Fabric, Azure Data Factory, SQL, Delta Lake, and Azure DevOps and help with the development of future-proof data solutions that are crucial for decision-making within KPN.

Please note: good command of the Dutch language at a professional level, both oral and written, is a hard requirement. You will work daily with Dutch-speaking stakeholders, users, and colleagues.

Aanvullende informatie

Of course, as an employer, we also have a lot to offer you. This is what you get from us:

Our belief in technology is great. This becomes even more powerful together with human contact, which is why we would love to meet you!

Want to know more? Contact our recruiter Martine Bunschoten, martine.bunschoten@kpn.nl

At KPN, we have recruitment talent that works together smartly and thus wins. Therefore, acquisition in response to this vacancy is not appreciated.

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