Job Description

At Alstom, we understand transport networks and what moves people. From high-speed trains, metros, monorails, and trams, to turnkey systems, services, infrastructure, signaling and digital mobility, we offer our diverse customers the broadest portfolio in the industry. Every day, 80,000 colleagues lead the way to greener and smarter mobility worldwide, connecting cities as we reduce carbon and replace cars.



Could you be the full-time Process mining Data specialist in our dynamic IS&T organization we're looking for?

Your future role

Step into a pivotal dynamic role and apply your data engineering expertise in the data-driven field of process mining. You'll be part of a forward-thinking, collaborative team driving digital transformation across the Alstom. As a Process Mining Data specialist, you will be instrumental in enabling data-driven insights and execution management through advanced data integration and modeling. You'll work closely with cross-functional teams including Manufacturing, Procurement, Supply Chain, Finance, Engineering leveraging Celonis to unlock process adoption and improvement.



Your responsibilities will include designing and maintaining robust data pipelines, ensuring high-quality data availability, and supporting process transparency through technical enablement. Specifically, we'll look to you for:


Connecting and transforming data from enterprise systems into Celonis

Designing scalable ETL/ELT pipelines and data models that reflect business processes

Monitoring data load performance, completeness, and consistency

Ensuring compliance with data governance and security standards

Supporting execution applications and automation flows

Collaborating with analysts and process owners to align technical delivery with business needs

Documenting and troubleshooting data integration and quality issues

All about you

We value passion and attitude over experience. While we don't expect you to have every single skill, we've listed some qualifications that will help you succeed and grow in this role:
Degree in Data Engineering, Computer Science, Information Systems, or a related field 5+ years of experience in data engineering, preferably in a CoE or enterprise context. 3+ of hands-on experience with Celonis EMS and Process Mining Strong experience in SAP data structures and integration Proficiency in SQL and data transformation techniques Familiarity with Celonis or other process mining platforms Knowledge of Python or other scripting languages is a plus Understanding of data privacy and governance principles Excellent analytical and problem-solving skills Strong communication skills and ability to work with diverse stakeholders Curiosity and a continuous learning mindset

Things you'll enjoy

Join us on a lifelong transformative journey - the rail industry is here to stay, so you can grow and develop new skills and experiences throughout your career. You'll also:
Enjoy stability, challenges, and a long-term career free from boring daily routines Collaborate with transverse teams and helpful colleagues Contribute to innovative and visible projects Utilize our flexible working environment Steer your career in whatever direction you choose across functions and countries Benefit from our investment in your development through award-winning learning Progress towards leadership roles within our IS&T function Benefit from a fair and dynamic reward package that recognizes your performance and potential, plus comprehensive and competitive social coverage (life, medical, pension)

You don't need to be a train enthusiast to thrive with us. We guarantee that when you step onto one of our trains with your friends or family, you'll be proud. If you're up for the challenge, we'd love to hear from you!

Important to note

As a global business, we're an equal-opportunity employer that celebrates diversity across the 63 countries we operate in. We're committed to creating an inclusive workplace for everyone.

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Database, Information Systems, Computer Science, Supply Chain, Procurement, Technology, Operations