Data Engineer

Req ID:481366

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, more than 80 000 colleagues lead the way to greener and smarter mobility worldwide, connecting cities as we reduce carbon and replace cars.

Data Engineer

Location: Ridderkerk, The Netherlands

Shape the Future of Smart Mobility

At Alstom, we are driving innovation in sustainable and intelligent mobility. To support our growing digital services portfolio, we are looking for a talented Data Engineer who is passionate about building scalable data solutions and transforming complex data into actionable insights. In this role, you will work at the intersection of software engineering, cloud technologies, and data science, helping to develop the next generation of data-driven solutions for railway operations and fleet management.

Your Role

As a Data Engineer, you will be part of a multidisciplinary team consisting of engineering experts, data scientists, software engineers, HMI designers, and DevOps specialists. Working in an agile and innovative environment, you will design, develop, and maintain robust data platforms that enable advanced analytics, predictive maintenance, and operational excellence.

You will contribute directly to the development of scalable, secure, and production-ready solutions that support Alstom's digital transformation journey.

Key Responsibilities

• Develop, maintain, and troubleshoot data pipelines, ensuring data integrity, quality, and availability.

• Design and implement secure, production-grade data architectures and solutions.

• Build and maintain multi-tenant data collection and storage platforms.

• Develop streaming and data-processing capabilities for both batch and near real-time data flows.

• Design scalable data models using SQL and NoSQL technologies.

• Monitor and improve incoming data quality across multiple sources.

• Implement data governance, security, and management components.

• Maintain and secure infrastructure, virtual machines, servers, and cloud services supporting data-intensive applications.

• Support team members in deploying applications and algorithms to cloud environments.

• Deploy, monitor, and maintain machine learning models in production.

• Evaluate emerging technologies and identify opportunities to enhance existing solutions.

• Apply strong testing, validation, and quality assurance practices throughout the development lifecycle.

What We Are Looking For

Education

Required

• Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related field.

Preferred

• Specialization in Software Engineering, Data Science, Artificial Intelligence, or Machine Learning.

Experience

Required

• 1-5 years of experience in software development, IT, digital companies, or startup environments.

• Strong proficiency in Python programming.

• Hands-on experience with data processing and software development.

• Experience with Apache Spark, Apache Kafka and/or Apache NiFi in production environments.

• Strong expertise in data modelling and database design.

• Experience with SQL and NoSQL databases such as MySQL and Cassandra.

• Knowledge of DevOps practices and tools including Docker and Ansible.

• Experience with Git, source control, and release management.

• Experience with orchestration tools such as Apache Airflow.

• Familiarity with Azure DevOps and CI/CD pipelines.

• Experience with monitoring tools such as Grafana.

• Solid understanding of virtualization technologies, including ESXi.

• Strong Linux administration skills.

• Experience working with REST APIs.

Preferred

• Understanding of distributed systems and horizontally scalable architectures.

• Knowledge of Microsoft Azure, AWS, or Google Cloud Platform.

• Knowledge of network and cybersecurity concepts such as SSL, certificates, IPSEC, Active Directory, and LDAP.

• Experience with machine learning frameworks such as TensorFlow, Scikit-Learn, or similar AI toolkits.

• Familiarity with Kubernetes or comparable orchestration platforms.

• Experience with Java, Scala, or R.

• Knowledge of the Apache open-source ecosystem.

Who You Are

• Passionate about technology and innovation.

• Analytical and solution-oriented mindset.

• Strong problem-solving, testing, and debugging skills.

• Able to design stable and scalable technical solutions.

• Collaborative team player who thrives in an international environment.

• Comfortable working with multicultural and geographically dispersed teams.

• Proactive, self-motivated, and eager to learn.

• Fluent in English, both written and spoken.

What We Offer

• The opportunity to contribute to the future of sustainable and intelligent mobility.

• A dynamic and innovative international working environment.

• Salary between €3.900 and €5.450 gross/month (1 FTE) depending on relevant experience

• Short term incentive of 5%

• 8% holiday allowance

• Full-time (40 hrs) workweek (flexible time hours)

• Enjoy 40 days off per year (27 vacances and 13 ATV)

• Access to Alstom University for various development opportunities

• Employee assistance program

• Flexible and hybrid working arrangements.

Join Alstom

If you are excited about leveraging data to solve complex challenges and create innovative mobility solutions, we would love to hear from you.

Apply now and help us build the future of digital rail mobility.

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 Type:Experienced

Job Segment: Cloud, Testing, Open Source, Information Systems, Database, Technology