Senior Data Engineer (Snowflake)

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

• Strong experience in data engineering and data warehousing, building large-scale data solutions
• Ability to design data warehouse solutions with a focus on simplicity and maintainability
• Hands-on experience with Snowflake, dbt, and Airflow
• Comfortable taking full ownership from requirements to production
• Eager to understand the business domain to turn problems into robust and maintainable data solutions
• Solid experience with CI/CD, pipeline orchestration, and modern data engineering practices
• Natural investigator who proactively understands business domain and clarifies requirements
• Holistic solution owner responsible for full lifecycle from design to implementation and testing
• Data modeler with understanding of good practices in data warehousing
• Strategic thinker prioritizing high quality, consolidation, standardization, and long-term maintainability
• Innovation driver using AI tools to improve productivity, quality, and speed

Main responsibilities in this role:

• Support the foundational phase of the new data engineering team, turning business problems into data solutions
• Take ownership of designing and building data models and data pipelines
• Drive modernization from requirements to production, transitioning from fragmented local systems to a unified solution
• Build trusted partnerships with Business and stakeholders through effective communication, discussing technical concepts and ensuring alignment throughout the development process
• Drive quality and technical leadership by setting high delivery standards, emphasizing long-term reliability and maintainability, and championing modern engineering practices (TDD, design patterns, clean architecture)
• Pioneer AI adoption by implementing AI-assisted development practices (e.g., GitHub Copilot, internal agents) to improve engineering productivity

Responsibilities related to Limit Management technology team:

• Ensure real-time limit checks and regulatory-compliant limit exposure monitoring
• Orchestrate integrations from exposure data sources and to credit decision systems
• Support limit data services for risk monitoring and reporting