Tech Stack
AirflowAWSAzureBigQueryCloudETLHadoopKafkaPythonSparkSQLTableau
About the role
- Design and set up fully automated data platforms and data pipelines
- Work on technically exciting and intellectually challenging assignments across various industries
- Be adaptable and ready to hit the ground running in new environments
- Typically work on 1-2 assignments per year
- Strengthen client teams and projects as a consultant
Requirements
- 5+ years of experience as a Data Engineer
- Experience in designing, developing, and maintaining scalable data pipelines, infrastructure, and tools
- Professional experience with tools like Python, Snowflake, Airflow, DBT, Tableau, ELT/ETL, BigQuery, Looker Studio, Kafka, Hadoop, Spark, SQL
- Solid understanding of cloud environments; AWS / Google Cloud / Azure
- A degree in Computer Science, Engineering, or Mathematics (or similar)
- Based in Sweden - Swedish citizenship, valid work visa, or permanent residency required
- Fluent in English (spoken and written)