GBS Agentic Data Engineer
Technology, Data & Digital · Data, AI & Analytics · Data Engineering · Data Analysis
In short
Atlas Copco is seeking a GBS Agentic Data Engineer to build the data foundation for AI-driven automation solutions within their Global Business Solutions organization. This role involves data analysis, integration, pipeline design, and collaboration with stakeholders to support intelligent automation initiatives.
Responsibilities
- 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, 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.
Requirements
- 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.
Desired Qualifications
- Experience with SAP is a plus.
- Exposure to finance processes (O2C, P2P, R2R) is an advantage.
- Interest in AI and automation technologies and Agentic AI concepts.
Benefits
- Opportunity to join a newly forming team focused on expanding AI and automation capabilities.
- Chance to work on meaningful business solutions, collaborate internationally, and help shape new technology applications.
- Good work-life balance with 37.5 hours per week.
- 5 weeks of vacation and 3 days off.
- Various wellbeing activities (seminars/workshops).
- Multisport card/wellness vouchers.
- Hybrid working options.
- Pleasant environment of modern offices near the city center.
- Great team of people.
- Wide range of opportunities for further professional growth and development.
- Supportive management and clear career path/development plans.
- Continuous learning support (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.
#AI#automation#data engineering#finance#ERP
Company
Atlas Copco
Job Posted
5 days ago
Employment Type
Full Time
WorkMode
On Site
Experience Level
Mid-Senior
Locations
BRNO, Czech Republic
Applicants
Be an early applicant