At ABB, we help industries outrun - leaner and cleaner. Here, progress is an expectation - for you, your team, and the world. As a global market leader, we’ll give you what you need to make it happen. It won’t always be easy, growing takes grit. But at ABB, you’ll never run alone. Run what runs the world.
This role sits within ABB's Robotics business, a leading global robotics company. We're entering an exciting new chapter as we’ve announced the plan for SoftBank Group to acquire ABB Robotics. SoftBank is a globally recognized technology group and investor/operator focused on AI, robotics, and next-generation computing. By joining us now, you’ll be part of a pioneering team shaping the future of robotics—working alongside world-class experts in a fast-moving, innovation-driven environment.
This Position reports to:
Global Data Platforms Service Manager
In this role, you will be the architect of scalable, high-performance data solutions that fuel analytics and decision-making across ABB Robotics. You'll design and build robust data pipelines, optimize cloud data warehouses on Snowflake, and create reusable data models that transform raw business data into trusted, actionable insights. Working at the intersection of data engineering and business analytics, you'll collaborate with data scientists, business analysts, and stakeholders across the globe to deliver reliable, well-documented data infrastructure that supports everything from real-time IoT analytics to enterprise-wide reporting. This role offers the opportunity to shape how data flows through a global robotics business and enable informed decision-making at scale.
The work model for the role is hybrid. #LI-hybrid
This is a global role; the preferred locations China, Poland, Czech republic, Spain, Italy
Your responsibilities:
- Design and build scalable data solutions on Snowflake that translate business requirements into optimized data models, ETL/ELT pipelines, and data warehouse architectures
- Develop reusable data models and infrastructure that support analytics, reporting, machine learning model training/serving, and IoT use cases while ensuring performance, reliability, and cost optimization
- Optimize data extraction and integration from diverse Robotics data sources—including IoT platforms—leveraging modern ETL/ELT tools and best practices to reduce costs and improve efficiency
- Enable "data as product" delivery by implementing structured, organized data solutions with proper governance, access controls, and documentation that empower business stakeholders
- Provide technical consultation to business and IS teams on technology selection, architecture decisions, and best practices for both backend data solutions (databases, data pipelines, machine learning infrastructure) and frontend visualization tools.
Our Team Dynamics:
You'll collaborate with business leaders, data engineers, and IT operations teams in an environment where technical excellence meets business impact. This is a role where your insights are valued, your recommendations shape strategy, and your work directly influences how the organization operates.
Qualifications for the role:
- Bachelor's degree in Computer Science, Data Engineering, Data Science, Software Engineering, or related technical field
- 3+ years of hands-on data analytics and engineering experience, including data modelling, ETL/ELT development, data warehousing, and SQL optimization
- Advanced SQL proficiency (ISO standards) and demonstrated expertise with modern data extraction tools (ADF, Qlik Replicate, SSIS, or equivalent)
- Snowflake experience or strong foundation in cloud data warehousing platforms; understanding of big data and machine learning concepts
- Solid knowledge of BI tools (Power BI / MS Fabric preferred) and experience with data visualization and analytics frontend development
- Proficiency in C# or similar backend programming languages for data integration, ETL orchestration, and service development
- Experience with or knowledge of SAP/S4HANA data extraction and integration, or demonstrated ability to quickly learn enterprise ERP systems
- Fluent in English with strong communication skills, excellent documentation practices, and a customer-oriented mindset
Nice to haves:
- Experience with machine learning pipelines, model deployment, or ML-driven analytics
- Deep knowledge of SAP/S4HANA modules (Finance, Supply Chain, Manufacturing) or SAP data extraction tools
- Experience with containerization and orchestration (Docker, Kubernetes)
- DevOps or data pipeline orchestration tools (Airflow, Databricks, Azure Synapse)
- Background in manufacturing, logistics, or robotics industries
What’s in it for you:
We empower you to take the lead, share bold ideas, and shape real outcomes. You’ll grow through hands-on experience, mentorship, and learning that fits your goals. Here, your work doesn’t just matter, it moves things forward
We value people from different backgrounds. Could this be your story? Apply today or visit www.abb.com to read more about us and learn about the impact of our solutions across the globe.
Skills Required
- Bachelor's degree in Computer Science, Data Engineering, Data Science, Software Engineering, or related technical field
- 3+ years of hands-on data analytics and engineering experience including data modelling, ETL/ELT development, data warehousing, and SQL optimization
- Advanced SQL proficiency (ISO standards)
- Experience with modern data extraction tools (Azure Data Factory, Qlik Replicate, SSIS, or equivalent)
- Snowflake experience or strong foundation in cloud data warehousing platforms
- Knowledge of BI tools and frontend visualization (Power BI, MS Fabric preferred)
- Proficiency in C# or similar backend programming languages for data integration and ETL orchestration
- Experience with or knowledge of SAP/S4HANA data extraction and integration (or demonstrated ability to quickly learn ERP systems)
- Fluent English, strong communication skills, and excellent documentation practices
- Experience with machine learning pipelines, model deployment, or ML-driven analytics
- Deep knowledge of SAP S4/HANA modules (Finance, Supply Chain, Manufacturing) or SAP data extraction tools
- Experience with containerization and orchestration (Docker, Kubernetes)
- Experience with DevOps or data pipeline orchestration tools (Airflow, Databricks, Azure Synapse)
- Background in manufacturing, logistics, or robotics industries
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.
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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.
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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.
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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
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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