People Manager (Platform & Data Engineering)

SEK 480K-600K (estimate) Mid-level Full Time Found 7d ago

Tasks

• Collaborate with cross-functional teams
• Conduct 1
• Deploy AI/ML models
• Design and build data pipelines
• Develop data lakehouses and warehouses
• Explore new data technologies
• Lead and inspire data engineering teams
• Monitor and optimize data infrastructure

Perks/Benefits

• Career growth programs
• Flexible hours
• Remote options
• Technology certifications

Skills/Tech-stack

AI/ML | AI/ML Tools | Apache Spark | Azure | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Cloud Data | Cloud Data Architecture | Data Architecture | Data Factory | Data Lake Storage | Data Modeling | Data Pipeline Development | Data Quality | Data Warehouse | Data Warehouse Concepts | Data pipeline | Data quality frameworks | Databricks | Fabric | GCP | ML Tools | Performance optimization | Pipeline Development | Python | Quality frameworks | SQL | Snowflake | Warehouse concepts