Data Engineer
Nederlandse Loterij
![Nederlandse Loterij](/images/employers/1718797207133767.png)
Do you have a passion for data and a strong grasp of data engineering paradigms? And do you bring engineering experience that will help innovate and improve how we build our solutions? Get moving and strengthen Nederlandse Loterij as a Data Engineer.
Your playingfield
Data is at the heart of everything we do. Our team processes large volumes of data using the latest techniques. This allows us, and also other teams such as marketing, sales and service, to make the right choices based on reliable information. That's what makes Nederlandse Loterij a data-driven organization.
Thanks to your efforts, the Data Engineering team can build a data platform to support the organization and enable the real-time identification of fraud, anti-money laundering and possible gambling addictions. In this way, you directly contribute to a happy, healthy and sporty Netherlands. As a Data Engineer you score by:
- working on technical solutions that serve other engineering, data or business facing teams.
- code your infrastructure and automatically build, test and deploy your creations.
- provide support by writing documentation and tutorials as well as providing guidance to users with a variety of technical skills.
- partner with business facing team members and other technology solution delivery, architecture, and platform teams.
- develop and deliver high quality software solutions that solve specific business problems.
This is probably also something you’d like to know: the Data Management team consists of 4 teams. We have an open position for the Datalake team.
The Datalake team is building a Big Data & AI platform for internal analytics users. The team works with Azure Databricks, Delta Live Tables, Python and Dbt.
Working together, winning together
Nederlandse Loterij is the reliable gambling organisation in the Netherlands. It has eight strong brands. We are the market leader, experts and stand for responsible, fair and safe gambling. Almost all of our revenue goes to a happy, healthy and sporty Netherlands. In addition to being a gambling organisation with a social approach, we are an employer. We work with more than 500 top talents within our organisation.
Because we work together and win together, we always have reason to cheer. Within the Technology team, we help each other to perform and we aim for joint success! Our differences make us strong together. Movement? That's in our DNA. You and your colleagues feel at home in an environment where no day is the same.
Your talent
The various people who work here like to be on the move, develop themselves on a personal and/or professional level, and strive for profit. That makes everyone within Nederlandse Loterij a top talent. Your talent is the sum of:
- an education, professional credentials, and/or demonstrable expertise in Computer Science or Engineering.
- 3+ years of experience in building data engineering solutions and experience in structured & unstructured data, data lakes, scheduling and orchestration.
- a strong proficiency in Python, Spark or Kafka and data engineering paradigms and good knowledge of Cloud Computing, Containerization, CI/CD and DevOps.
- Experience in SQL, NoSQL and database design.
For this vacancy, you have very good analytical skills and are able to quickly learn new skills and concepts. Furthermore you have a collaborative workstyle with focus on achieving goals.
Your score
As a Data Engineer we offer you:
- a salary between €4.600,- and €6.600,- gross a month, depending on your experience.
- a fulltime position for 40 hours per week.
- an interesting bonus scheme.
- you can enjoy a healthy and varied lunch in our corporate restaurant for €3,25.
Our office in Rijswijk is effectively where you do your work, but you mainly work in a place that best suits what you do. See below for other terms and conditions of employment. Any questions about the vacancy? Feel free to contact Charissa Broekhuis, Corporate Recruiter at Nederlandse Loterij through [email protected]
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