We are looking for an experienced Data Engineer to strengthen our Data & AI capabilities within ABB Motion Drive Products and High Power Drives.
In this role, you will play a key part in designing, developing and continuously improving enterprise data solutions, with Snowflake as our primary data platform. You will work across the data engineering lifecycle, from source system integration and data modeling to developing scalable data pipelines, reusable data structures and production-ready data solutions.
Data Engineer takes technical ownership of data engineering implementations, contributes to data platform development and architecture, and helps establish common engineering practices that enable reliable, high-quality data for business analytics, reporting and AI applications.
You will join a skilled IT team and collaborate closely with Data Architects, Data Platform Owners, Data Owners, Data Analysts and business stakeholders across our global organization.
The role is based in either Helsinki, Finland, or Tallinn, Estonia. We offer a hybrid work model; however, the role requires regular on-site work at our offices in Pitäjänmäki, Helsinki, or Jüri, Tallinn.
Data Engineering & Development
- Design, develop and maintain scalable, high-performance data solutions using Snowflake as the primary data platform
- Optimize Snowflake workloads for performance, scalability, reliability and cost efficiency
Data Modeling & Architecture
- Design and implement logical and physical data models, including dimensional models and reusable enterprise data structures
- Translate complex business requirements into scalable technical designs and data models
- Contribute to common data models, reusable data products and enterprise data architecture standards
Data Integration & Platform Development
- Design and implement robust data integrations across enterprise applications, databases, APIs and cloud storage services
- Contribute to the continuous improvement of data platform capabilities, engineering frameworks and development standards
- Ensure data quality, traceability, reliability and appropriate security controls throughout the data lifecycle
DevOps, Automation & Release Management
- Implement and maintain Git-based development workflows, CI/CD pipelines, automated testing and deployment processes
- Develop monitoring, logging, error handling and data quality validation mechanisms for production data solutions
- Support production operations and ensure solutions are maintainable, well-documented and aligned with established platform standards