Senior Data Engineer

A hands-on engineering role building and optimising scalable ETL/ELT pipelines and Lakehouse architectures across a modern multi-cloud platform using Python, Spark, Airflow, and dbt. Requires 5+ years of data engineering experience with strong expertise in SQL, CI/CD, data quality frameworks, and cloud technologies (S3, Athena, Redshift), with a plus for streaming and AI tooling experience. OverviewA Senior Data Engineer position within an agile team, focused on building scalable data pipelines and modernizing a multi-cloud data platform. The role involves working with streaming technologies, Lakehouse architectures, and leveraging automation/AI to improve efficiency. What you will do Pipeline Development: Build ETL/ELT pipelines (Python, SQL), optimize Spark/PySpark jobs, manage Airflow DAGs, and implement dbt transformations.Lakehouse Architecture: Design medallion-style architectures using S3 and modern table formats (Iceberg, Delta Lake) with optimized layouts.Platform Infrastructure: Create reusable frameworks, enforce data contracts, build CI/CD pipelines, and establish observability practices.Data Quality: Implement validation frameworks, data contracts, and SLIs/SLOs for critical pipelines. Your experienceRequired5+ years in data engineeringStrong Python, advanced SQL, Airflow, Spark/PySpark, dbt, and CI/CD proficiencyExperience with Lakehouse architectures, dimensional modeling, and cloud data warehouses (S3, Athena, Redshift)Data quality frameworks, monitoring, and schema evolution expertiseNice-to-HavesStreaming platforms (Kafka, Kinesis)AI coding assistants (Cursor, Claude Code, Copilot)Terraform, Kubernetes/DockerData catalog/metadata management experience #SDESWEDEN #TECHSWEDEN #SENIORDATAENGINEERSWEDEN #Amazonwebservices