Senior Data Engineer, Lund
Core
Design, develop, and maintain scalable data pipelines and data products to enable analytics and AI applications for Global Operations.
Role type
Senior hands-on individual-contributor data engineer
Builds
Production-grade data platforms, ETL/ELT pipelines, and data models using ClickHouse and dbt
Domain
Supply chain analytics and operational excellence
Deliverable
production ML models
Required skills
SQL, Python, data modeling, workflow orchestration, data quality testing, anomaly detection
Preferred skills
Airflow, dbt, ClickHouse, Kubernetes, containerized environments
Technologies
ClickHouse, dbt, Airflow, Kubernetes, Qlik Sense, Power BI
Responsibilities
Design and maintain data models and data products; assess and improve existing pipelines for data quality; implement robust ETL/ELT pipelines integrating diverse data sources; enforce data engineering best practices including version control and monitoring; ensure data access, privacy, and governance requirements; guide technical decisions for reliability and scalability.
Seniority
Senior, hands-on IC
