Data Engineer, Snowflake & Data Platforms

Posted Yesterday
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2 Locations
Hybrid
Senior level
Robotics • Analytics • Energy
The Role
Design, develop, and optimize enterprise data solutions using Snowflake. Build data models, scalable ETL/ELT pipelines, integrations, reusable data structures, and production-ready data products. Implement Git workflows, CI/CD, automated testing, monitoring, and data quality controls. Collaborate with architects, platform owners, analysts, data owners, and global business stakeholders while supporting data analytics, reporting, and AI applications.
Summary Generated by Built In

At ABB, we help industries run leaner and cleaner—and every person here makes that happen. You’ll be empowered to lead, supported to grow, and proud of the impact we create together. Join us and help run what runs the world.

This position reports to:

IS Manager

__

Your role and responsibilities
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.


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.

Skills Required

  • 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 Snowflake experience
  • Strong experience in relational, dimensional, logical, and physical data modeling
  • Experience designing and developing scalable ETL/ELT pipelines and integrating 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
  • Good English communication skills
  • Valid working permit for Finland or Estonia
  • Finnish or Estonian language skills
  • Experience with 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

ABB Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about ABB and has not been reviewed or approved by ABB.

  • Healthcare Strength — Healthcare coverage is described as comprehensive, with medical, dental, vision, mental health support, and disability and life insurance included. Immediate eligibility in some roles reinforces the sense of dependable core coverage.
  • Leave & Time Off Breadth — Time-off offerings are described as broad, including paid holidays, sick days, volunteer time, sabbaticals, and, in some cases, 25 days of PTO. Flexible scheduling and remote-work options add to perceived time-off and flexibility value.
  • Retirement Support — Retirement benefits are positioned as robust, including a 401(k) with company contributions or matching and, in some cases, profit sharing or pension savings. Stock purchase/share acquisition programs complement longer-term savings options.

ABB Insights

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The Company
HQ: Zürich
104,000 Employees
Year Founded: 1988

What We Do

ABB is a leading global technology company that energizes the transformation of society and industry to achieve a more productive, sustainable future. By connecting software to its electrification, robotics, automation and motion portfolio, ABB pushes the boundaries of technology to drive performance to new levels. With a history of excellence stretching back more than 130 years, ABB’s success is driven by about 110,000 talented employees in over 100 countries. www.abb.com

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