Data engineer

Job Description We are looking for a Data Engineer to build and run the data platform behind our analytics and machine learning work, based in Stockholm with a hybrid setup. You will design and maintain the pipelines that move data from our production systems and third-party sources into the warehouse, keep them reliable, and make the data usable for analysts and data scientists. That means modelling, testing, monitoring, and a fair amount of talking to the people who produce the data and the people who consume it. You join a data team of five, working closely with backend engineering and the analytics team. The stack is Python, SQL, dbt and Airflow on top of BigQuery, running in GCP. We are not dogmatic about tools, but we care a lot about data that can be trusted. This is a hands-on role for someone who has run pipelines in production before and has opinions about how to do it well. ###### Skills & Requirements 3+ years as a data engineer or in a similar role, with pipelines running in production Strong SQL and Python Experience with a modern data stack: dbt, Airflow or similar orchestration, and a cloud warehouse such as BigQuery, Snowflake or Redshift Data modelling for analytics, including dimensional modelling Experience with a cloud platform, GCP preferred Familiarity with data quality testing and monitoring Fluent English Experience with Kafka or other streaming systems is a plus Experience with Terraform or infrastructure as code is a plus ###### About the company Demo account [© MapTiler](https://www.maptiler.com/copyright/) [© OpenStreetMap contributors](https://www.openstreetmap.org/copyright) [+](https://emp.jobylon.com/jobs/382007-artemis-production-data-engineer/# "Zoom in") [−](https://emp.jobylon.com/jobs/382007-artemis-production-data-engineer/# "Zoom out") [© MapTiler](https://www.maptiler.com/copyright/) [© OpenStreetMap contributors](https://www.openstreetmap.org/copyright) [I'm interested](https://emp.jobylon.com/applications/jobs/382007/create/)