Your role

At Atlas Copco, innovation is part of our DNA. As part of our digital transformation journey, we are building new capabilities focused on AI-driven automation and emerging Agentic AI solutions within our Global Business Solutions (GBS) organization.

We are looking for a GBS Agentic Data Engineer who will help create the data foundation behind new intelligent automation solutions supporting finance and operational processes across our global organization.

What you will do?

Analyze and map data structures across ERP and connected business systems
Translate business requirements into technical data specifications
Evaluate data quality, consistency, and system readiness for automation initiatives
Support data integrations, APIs, and access frameworks while ensuring compliance and governance
Collaborate with business stakeholders, automation specialists, and developers on new AI solutions
Design scalable data structures and pipelines supporting future automation initiatives
Design data foundations supporting autonomous AI agents and next-generation intelligent automation solutions
Create reporting and dashboards using Power BI and advanced Excel
Help establish data standards and best practices for AI-driven processes

To succeed, you will need

3+ years of experience in Data Engineering, Data Analytics, or similar technical roles
Experience with ERP systems (SAP is a plus)
Strong understanding of data modeling, databases, APIs, and system integration
Advanced Power BI and Excel skills
Understanding of data governance and data quality management
Exposure to finance processes (O2C, P2P, R2R) is an advantage
Interest in AI and automation technologies and Agentic AI concepts
Strong analytical mindset and problem-solving skills
Fluent English

In return, we offer

An opportunity to join a newly forming team focused on expanding AI and automation capabilities within a global organization.
The chance to work on meaningful business solutions, collaborate internationally, and help shape how new technologies are applied across our global operations.
Good level of work-life balance. Working hours reduced to 37.5 hours per week, 5 weeks of vacation and 3 days off, various wellbeing activities such as seminars/workshops on related topics, Multisport card/wellness vouchers.
Hybrid working options, pleasant environment of our modern offices near the city center, great team of people.
Wide range of opportunities for further professional growth and development within the company, supportive management, clear career path, and development plans.
Vast portfolio and support of your continuous learning – e.g., access to LinkedIn Learning, soft skills training, language courses.
Annual salary increase, contribution for pension insurance, contribution for daycare for children up to the age of 3 years.

Agentic Data Engineer

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