Data Engineer

About US (GEMS):

ENGIE Global Energy Management & Sales (GEMS) provides energy supply solutions and risk management services to support its clients through their decarbonization journey, while optimizing ENGIE’s assets and contributing to value creation.

ENGIE is a global reference in low-carbon energy and services with a leading energy management business, piloted by its entity "Global Energy Management & Sales" who built its savoir-faire managing the Group’s large and diverse asset portfolio over 20+ years.

3,600 employees around the world develop our solutions, through +20 international business platforms. We cover the full energy mix: renewable and thermal power, natural gas & LNG, biomass, environmental products. Our experts provide tailor made solutions based on a wide range of savoir-faire in energy management with a strong focus on decarbonation and decentralization.

Our 190,000 clients span the entire value chain: producers, asset developers, financial players, utilities, distributors and industrials. Our global reach and strong local presence enable us to offer these diverse clients tailor-made services and respond to rapid changes in mature or emerging markets alike.

Our 4 expertises:

• Asset management

• Energy transition services

• Energy supply & global commodities

• Risk management & market access

At GEMS we encourage breakthrough results, team spirit, curiosity and innovation while preserving the right work/life balance for you.

More info on GEMS Hub (https://gems.engie.com) or LinkedIn (https://www.linkedin.com/company/engie-global-energy-management-solutions).

Context:

The applicant will join the "Digital and Data Accelerator" (DDA) team. The primary objective of this team is to develop high-quality data products for our clients, focusing on critical areas such as fundamental data collection, historical asset data compilation, and production and consumption forecasting models. This initiative plays a vital role in optimizing resource allocation and advancing decarbonization efforts.

The DDA team engages in various strategic activities, including the development and rationalization of data projects, ensuring robust data governance, and maintaining high data quality standards. We collaborate closely with the GEMS business unit to enhance data utilization efficiency. Furthermore, the team is tasked with structuring and piloting the data strategy within GEMS, reinforcing governance practices, and implementing a cohesive data architecture.

Role:

Working hand in hand with business and IT teams, the Data Engineer will:

• Design, develop, and maintain data pipelines.
• Ensure the availability and quality of data.
• Optimize the performance of data processing systems.
• Interact with data scientists to understand their needs and adapt pipelines accordingly.
• Implement best development practices and monitor production systems.

Particular care will be necessary to:

• Manage large volumes of data.
• Optimize pipeline performance.
• Ensure code maintainability.
• Quickly resolve incidents.
• Continuously improve existing systems.

Hard skills:

• Strong programming skills in Python and SQL.
• Proficiency in big data frameworks such as Spark and Databricks.
• Experience with data pipeline tools and ETL processes.
• Good knowledge of cloud platforms such as AWS, Azure, or Google Cloud, in particular AWS S3, Glue, Athena or equivalent.
• Understanding of data warehousing concepts and best practices.
• DevOps, infra as code, continuous integration and delivery concepts.
• Agile methodology.

Soft skills:

• Strong problem-solving abilities and analytical thinking.
• Excellent communication skills to effectively collaborate with data scientists and other team members.
• Ability to work well in a team-oriented environment.
• Adaptability and willingness to learn new technologies and methodologies.
• Attention to detail and a commitment to delivering high-quality work.

Education and professional background:

• Master’s degree in engineering with a proven specialty in IT or equivalent.
• Previous experience in the implementation and customization of data pipelines

Languages:

• Language:  English as a working language
• Language:  French Mandatory

Travels:

• Occasional travels to Brussels are expected

If you meet these requirements, then you are the talent we are looking for. Do not waste time! 

Apply by attaching your updated CV, regardless your gender.

ENGIE Global Energy Management & Sales is committed to create a gender-neutral environment that unlocks the potential of everyone and provides equal employment opportunities for all individuals. 

All our positions are open to people with disabilities, please let your recruiter know if you need reasonable accommodations to be able to participate in the recruitment process, they will be happy to assist you. 

About ENGIE:

Our group is a global reference in low-carbon energy and services. Our purpose (“raison d’être”) is to act to accelerate the transition towards a carbon-neutral world, through reduced energy consumption and more environmentally-friendly solutions, reconciling economic performance with a positive impact on people and the planet. We rely on our key businesses (gas, power, renewable energy, services) to offer competitive solutions to our customers. With our 96,000 employees, our customers, partners and stakeholders, we are a community of Imaginative Builders, committed every day to more harmonious progress.