As a senior data engineer, you will be part of our data team. We are a group of highly skilled and self-motivated people. Our team works closely together and is often having fun. As a team, we develop, manage and run state-of-the-art infrastructure and ingenious algorithms, of which some have been granted patents, and others are patent-pending.
The current composition of the team is 3 data engineers, 2 BI specialists, 4 data scientists, and 2 machine learning engineers.
To deliver end-user features, team members work in multidisciplinary value streams, together with e.g. front-end developers, designers, and marketers.
Build and manage our 100% AWS cloud-based IoT and Big Data infrastructure. Lead the automation and continuous restructuring of our batch and streaming data processing stack with the latest and greatest technologies fit for the purpose. We believe that all complex solutions that work well, started as simple things that worked well. Your challenge is to innovate, simplify, automate and build scalable, high-quality data infrastructure and pipelines.
Our tech stack
Here's a grasp from our tech stack, though there's a lot more. If there's tech you're not familiar with, know that you get a study budget and there's also a lot you can learn from your colleagues! We are happy to tell you more about our tech and what you can learn from us.
Git, Jenkins, Terraform, Apache Spark in Scala, Delta Lake, Apache Hive, Apache Spark Structured Streaming, Databricks, AWS IAM, AWS EC2, AWS S3, AWS DynamoDB, AWS SQS, AWS Kinesis, Apache Kafka, and more.