Digitalization Engineer

ALSTOM

São Paulo, BRonsitePosted Jul 7, 2026
Posting intelligenceActively listedReposted 2×, possible evergreen/ghost posting

About the role

At Alstom, we understand transport networks and what moves people. From high-speed trains, metros, monorails, and trams, to turnkey systems, services, infrastructure, signalling, 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 Digitalization Analyst / Engineer in São Paulo we’re looking for?

Your future role

Take on a new challenge and apply your data and business analysis expertise in a new cutting-edge field. You’ll work alongside innovative and collaborative teammates.

You'll help shape the transition from manual data collection to an automated gold standard, driving efficiency and accuracy in our processes. Day-to-day, you’ll work closely with teams across the business (such as IS tools integration teams and operational groups), support the automation and optimization of recurring reports, and much more.

You’ll specifically take care of ensuring data is collated and manipulated accurately and efficiently, but also lead the implementation and usage of data visualization tools for designated workstreams.

We’ll look to you for:

Contributing to data and business analysis, as well as data automation and integration

Supporting the transition to automated solutions aligned with IS tool rollouts

Driving the simplification of data to ensure it is understandable and consistent

Leading and controlling the implementation of data visualization tools

Providing process and data analysis support for governance activities

Ensuring quality assurance on data and conducting root cause analysis for errors

Evaluating reporting demands and optimizing reporting processes

All about you

We value passion and attitude over experience. That’s why we don’t expect you to have every single skill. Instead, we’ve listed some that we think will help you succeed and grow in this role:

Engineering degree or equivalent in IT, data science, or relevant experience

Experience with data automation and data manipulation

English/Portuguese fluency is required, international interface experience

Knowledge of Six Sigma Lean/Green Belt principles

Understanding of data visualization tools and their implementation

Familiarity with process optimization and governance support

Strong analytical and problem-solving skills

Excellent communication and collaboration abilities

Things you’ll enjoy

Join us on a life-long 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

Work with cutting-edge tools for data automation and visualization

Collaborate with transverse teams and helpful colleagues

Contribute to innovative projects that shape the future of mobility

Utilise our flexible and inclusive 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 roles such as Data Lead or Process Optimization Specialist

Benefit from a fair and dynamic reward package that recognises your performance and potential, plus comprehensive and competitive social coverage (life, medical, pension)

#LI-HYBRID

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.

Job Segment: Business Analyst, Lean Six Sigma, Quality Assurance, Six Sigma, Technology, Management

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