You will be mainly accountable for
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
Qualifications for the role
Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering or a related field
5+ years of relevant hands-on data engineering experience, including substantial experience developing solutions on Snowflake
Strong experience in data modeling, including relational, dimensional, logical and physical data model design
Proven experience designing and developing scalable ETL/ELT pipelines and integrating data from multiple enterprise source systems
Good programming skills in Python for data engineering, automation and integration
Experience with Microsoft Azure cloud data services, particularly Azure Data Lake Storage
Experience with Git, CI/CD practices, automated deployments and software engineering principles, preferably using Azure DevOps
Good English communication skills; Finnish or Estonian language skills are considered an advantage
Valid working permit to Finland or Estonia
Considered an advantage
Experience with additional enterprise data platforms such as Databricks or Microsoft Fabric
Experience with enterprise data governance, metadata management, data lineage and data product development
Experience developing data solutions for manufacturing, industrial operations or global enterprise environments
More about us
ABB Drive Products serves the industries and infrastructure segments with world-class drives and programmable logic controllers (PLC). With its products, global scale and local presence, the Division helps customers to improve energy efficiency, productivity and safety.
If you have questions, please contact IS Manager Jukka Itkonen, tel. +358 50 3326781.Please note the following call times: Friday, 6 November, 10:00-11:00 and Monday, 9 November, 16:00-17:00.
Apply for the position by November 16, 2026. We look forward to receiving your application.
Work model: Hybrid #LI-hybrid
Building a cleaner, smarter future takes all kinds of minds: the curious, the courageous, and the creative. That's why we welcome people from all backgrounds and experiences.
Ready to make an impact?
Apply today or visit https://www.abb.com to learn more about the impact of our solutions across the globe.