Data Engineer

As a Data Engineer of the IT Big Data & Analytics team you are part of a team of best-in-class engineers, organized in Agile teams. Y

You will be part of one of our 50 (!) DevOps teams, working together in a Scaled Agile (SAFe) environment. Our teams are a mix of young talent and senior specialists, with a shared mission to deliver business value for our stakeholders using technology. Next to that, you will closely work together with our Cloud Centre of Excellence (GCP & Azure) to ensure maximum reusability and adherence to security standards. 

• You have a strong software engineering background and for example a MSc. in Computer Science or equivalent. You should have at least 2 - 4 years of experience in working in an DevOps / Cloud Engineering role
• Distributed data processing technologies like Spark and Kafka
• Experience with data storage at scale: HDFS, HBase, Druid, Cassandra for example
• Being fluent in at least one programming languages, like Python, Julia, R, Scala, Java
• Having experience with productization and software system automation: CI/CD, Configuration management, Logging, alerting and monitoring,  Kubernetes & Docker

The right candidate will be provided a challenging and varied position in a professional, high-tech environment. An appropriate salary, future prospects and excellent benefits are evident. After a period of secondment and functioning properly, you can be contracted by our client.