We are looking for an experienced data engineer to join our team on this fantastic journey, working together to ensure that our customers get the best experience possible.

We have a huge potential for analytics and machine learning, based on our IoT and enterprise data, which require solid data engineering.

Your work will have very concrete outcomes and observable value.

You will be fully integrated into the development team, which is organised in an Agile Scrum fashion, and with an excellent team spirit.

You will:

• Design, develop, and test data pipeline infrastructures and database systems
• Collaborate with data analysts and data scientists to build and improve data models, algorithms and predictive models according to the busines’s requirements
• Ensure that all current data infrastructures and processes meet industry standards
• Utilise cutting edge data engineering technologies and software
• Search for elements of the data collection and processing that need improvement, and improve them
• Implement systems to monitor data quality for optimised accuracy and clarity
• Design and implement scalable and high-performing solutions
• Collaborate with several other teams: Product and Business Development teams for HUBGRADE, Corporate IS&T teams (Data Lake, Cybersecurity, ERP, Networking, FinOps, …), external Digital Partners.
• Continuously transfer knowledge to the Run&Support team
• Take part in L3 support
• Identify synergies between software components and improve efficiency of development and code maintenance
• Keep the product vision in mind while working on details
• Help to build flexible, future-proof solutions
• Continuously improve our agile development process, architecture, and engineering practices
• Mentor and coach less experienced engineers on the team

The platform being very rich and diverse, you will have the opportunity to work on different areas and projects.

As an inclusive company, Veolia is committed to diversity and gives equal consideration to all applications, without discrimination.

Education & Experience

• Bachelor's degree in Computer Science
• 5+ years of experience in software development or data-related fields (DWH, …), with at least 2 years in pure data engineering / big data, using modern programming languages, frameworks, and technologies
• Experience working in an agile cross-functional team

Technical skills

• Skilled with Git, Python or R, Big Data frameworks (especially Spark)
• Skilled with relational and NoSQL databases
• Skilled with data modelling and popular data viz tools
• Fully operational on public Cloud technologies, especially AWS and its managed services (Glue, Kinesis, Athena, Lambda, IoT Core, EventBridge, …)
• Fully operational on Agile practice
• Familiar with event-driven architectures
• Familiar with automation and IaC tools (CI/CD, Terraform, AWS SAM)
• Familiar with enterprise tools, such as ServiceNow and GitLab
• Good understanding of IoT, Web development, Data Lake, and Machine Learning domains

Soft skills

• Fluent in English and French
• Good communication skills
• Able to work in a multicultural environment
• Technology minded
• Able to quickly skill up on any technology or business topic
• Passion for quality
• Innovative state of mind