We are looking for an experienced Data Engineer to join our team.
Have you graduated with a master’s degree, already 2 to 5 years of experience in consulting or service-oriented environments and are you eager to have an everlasting impact on clients by building the right data solutions? Let's connect!
- Build maintainable data solutions (ETL/Models/Interfaces/pipelines,...);
- Design data solutions, making the trade-off between cost and maintainability;
- Work together with Data Scientists and Business Consultants to deliver value to our customers;
- Stay up-to-date with the latest developments in data technology;
- Monitor the quality and stability of data solutions;
- Coach other Data Engineers
- Master Degree in Engineering (e.g. civil engineer or commercial engineer);
- 2 to 5 years of experience in consulting or service-oriented environments;
- Programming experience with one or more languages: Python, Java, Scala, …
- Experience with Linux
- Deep knowledge of SQL
- You know the ins and outs of cloud platforms like AWS or Azure
- You agree on the fact that containers aren’t only used in the harbor and you have experience with Docker, Kubernetes etc.
- Experience in building data solutions in production environments
- Excellent leadership, communication (written and oral) and interpersonal skills;
- Fluent in Dutch and/or French and English
- Experience in building RESTful API’s with a framework of your choice (Flask, Django etc.)
- Experience with big data technologies like Hadoop, Cassandra and Elasticsearch
- You are familiar when using tools like Apache Spark, Beam and/or Kafka
- A highly entrepreneurial team;
- A no-nonsense working environment with a focus on high quality;
- Excellent terms of employment;
- Fringe benefits including continuous training that builds and extends professional, technical and management skills in all areas;
- The opportunity to grow together with Datashift in terms of capabilities as well as financial benefits.
Interested or do you have further questions? Feel free to reach out to +32 476 89 30 69 or email@example.com
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