Mid/Senior Data Engineer

Ework Group, founded in 2000 and listed on Nasdaq Stockholm, has around 13,000 independent professionals on assignment. It is a total talent solutions provider partnering with clients in both private and public sectors, focusing on IT/OT, R&D, Engineering, and Business Development to deliver sustainable value through holistic talent management.

• Proficient in AWS Redshift, Git, Airflow, and DBT
• Good understanding of SDLC and Agile methodologies
• Basic knowledge of Python
• Good understanding of data warehouse architecture and cloud-based data engineering principles
• Good to have domain knowledge of the telecommunication industry

• Design, develop, and maintain scalable data pipelines using AWS Redshift, primarily S3 and Cloud 9
• Integrate and manage data workflows in Git repositories, including branching, pull requests, and version control best practices
• Optimize Redshift performance through best practices in schema design, data partitioning, and query optimization
• Monitor pipeline health and data quality; implement alerting and logging as needed
• Collaborate with Data Analysts, Data Scientists, and Business Stakeholders to understand data needs and deliver reliable datasets
• Participate in code reviews, testing, and documentation