Data Engineer

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.

Job Purpose: Lead the development and deployment of the next generation data-driven solutions for Mobility, within a lean startup pathway and in collaboration of engineering & mobility experts, data scientists, software engineers, HMI designer and devops.

Key accountabilities:

• Define, develop, manage & sustain the data solution including storage, processing units and UI defined as the industrial solution for the program, such as:
• Design technical solution for production-grade and cyber-secure data solutions
• Build multi-tenant data collector and storage
• Build multi-tenant streaming and data processing in batch and near-real time flows
• Design scalable data model, including SQL and NoSQL modeling
• Assess and enhance the data quality of incoming data flows
• Apply Data management and security components
• Build customizable Analytical Dashboards
• Evaluate the opportunities from new technologies
• Apply a strong testing and quality assurance practices

Mandatory:

• Engineering or master’s degree in computer science & information systems
• Total 5-8 years of relevant experience
• Extensive practice of data processing and software development, in Python or Java/Scala environment.
• Experience in developing solution with Apache Spark, Apache Kafka and/or Nifi for production.
• Experience of data modelling
• Deep knowledge of SQL database configuration, eg. Postgres, MariaDB, MySQL
• Knowledge with devops including docker

Desirable:

• Data Science and/ or Machine Learning
• Knowledge of Microsoft Azure or AWS or GCP.
• Knowledge of network and security : SSL, certifcates, IPSEC, Active Directory, LDAP.
• Knowledge about Machine Learning with scikit-learn, R, Tensorflow or another AI framework or toolkit
• Good understanding of the Apache open source ecosystem

Performance measurements:

• OTD
• Developments QCD

Competencies & Skills

• Proven track record for designing stable solution, testing and debugging.
• Demonstrated teamwork and collaboration in a professional setting
• Proven capabilities with worldwide teams

Fluent English. French is a plus.

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.