Data Engineer

Do you thrive on tackling challenges? Do you love to take initiative? Do you want to grow as an individual and a professional? If you answered yes to these questions, we want you. We're always looking for talented coworkers who are eager to make a difference and go the extra mile to make it happen. We believe that the community you work in is just as important as the job you do. That's why we have breakfast together every Monday, fika together every Wednesday, and croissants every Friday. Knowledge sharing and collaboration is the backbone of our office and maintaining a strong work family is what makes that possible. We work hard to create a diverse, inclusive workplace where you can have a great work-life balance and love the work you do. Qualifications
We see that you mainly have skills and experience with

Building data processing pipelines using Big Data tools (Dataflow, Spark, Flink)
Build, schedule and monitor workflows with Apache Airflow or similar orchestration tool
Java SE
Automated testing
Version control
Big plus if you have experience within:

Data modelling and Data warehousing
Other Big Data technologies: Hadoop, Kafka, Kinesis
Build automation and continuous integration
GCP, AWS, Cloudera, Hortonworks or similar Are you a big data enthusiast? We are building our data infrastructure using the latest big data technology in the cloud. As a data engineer, you will play a key role in our organization by collaborating with data analysts and data scientists to enable data-driven decision making.

Our data infrastructure is built using Google Cloud Platform (GCP). A focal point in it is our new data warehouse where all data from various sources is centralized for analysis and reporting. In this role, you will start by integrating new data sources into the data warehouse and building data models to be used by other tools. For our ETL-pipelines, there is a strong focus on data quality and automated testing. It is also essential to write structured and maintainable code.

The Data Engineering team works closely with product managers, product analysts and growth specialists to figure out ways to acquire new customers, retain existing ones and optimize their experience - all of this using massive amounts of data. In this role, you will see a direct link between your work, company growth, and user satisfaction.

We are looking for a highly motivated Data Engineer who:

Wants to work with the latest big data technology in the cloud
Wants to make impact during the early stages of a major project
Would love to become a member of a team who is encouraged to explore new technical solutions
You will use the following technologies:

Google Cloud Dataflow through the Java SDK in Apache Beam, Google BigQuery, Google Cloud Storage, Kafka, Apache Airflow, and Maven.