Data Engineer

Trustly is developing fast and so are the requirements on data being made available for analytics, data science, reporting and BI. The Data Engineering team’s part in this is to provide a platform and tools to enable data producers and consumers to share data in a frictionless way. Trustly’s European data platform is built on GCP using components such as Airflow (Cloud Composer), Beam (Dataflow), BigQuery, Pub/Sub and Google Cloud Storage. We also maintain the company’s dbt Cloud installation to enable Analytics Engineers and other downstream SQL power users to build their own data pipelines and not become dependent on a single data team that does everything. Parts of Trustly’s payment product run on AWS so knowledge about that ecosystem is important to us as well.

What you'll do

• Build and operate Trustly’s data lake on Google Cloud Storage/BigQuery
• Develop and maintain batch and streaming data pipelines
• Work with transformations of data from one or multiple source systems to feed our analytics and ML applications
• Help data consumers within the company find the data they need and assist them with setting up pipelines and exports
• Help us identify new use-cases for our data and work with stakeholders from the rest of the organization on how to realize those

Who you are

• MSc Software Engineering or equivalent
• At least 3-5 years experience from a Data Engineering role
• Good coding skills with Python
• Proficient in SQL
• Experience from building streaming data pipelines (Prio1: Kafka)
• Experience from building cloud data solutions (Prio1: GCP, Prio2: AWS)
• Experience with Terraform
• Experience with DBT

We are looking for someone who is not afraid of voicing and acting on new ideas and values good communication with internal and/or external stakeholders. If you are passionate about working with different areas across the organization, then this would be an interesting role for you.

Apply now, we would love to talk to you!