About this role
Data Engineer at Kreditz. Location: Stockholm, Stockholm, Sweden. Role: Maintain DWH, Automate pipelines, Enable stakeholders Requirements: 3+ years in data engineering; strong SQL, Python; AWS (Redshift/Snowflake, S3, Glue, Lambda); data warehousing concepts; Airflow/Dagster; CI/CD (GitHub Actions). Category: Data and Analytics Seniority: Mid Level Tools: SQL, Python, AWS, Redshift, Snowflake, S3, Glue, Lambda, Airflow, Dagster, CI/CD, GitHub Actions, BI tools Commitment: Full Time Workplace: Onsite Languages: English