Data Engineer

About the Company

ENGIE is one of India’s leading clean-power generation companies as a global reference in low-carbon and energy solutions. Incorporated in 2014 and headquartered in Pune, ENGIE is focused on strengthening its commitment to decarbonization with an ambitious “Net Zero Carbon” target by 2045. Together with our employees, customers, partners, and stakeholders, we are dedicated to offering competitive turnkey low-carbon solutions to our customers.

ENGIE’s ambition is to become the world leader in the zero-carbon transition, which means we are fully aligned with the Government of India’s renewable energy targets. ENGIE India celebrates a significant milestone as it marks 11 years of operations in the country. Throughout this journey, ENGIE has been committed to implementing comprehensive sustainability and corporate social responsibility (CSR) initiatives in the areas of education, health, and well-being.

ENGIE in India has received several rewards and recognition, including Best Organisation for Women for 2 consecutive years (2025 and 2026), Indo French Partnership of the Year Award (2026) The best large-scale solar PV project in 2020 and 2022, signing/executing India’s best renewable energy deal of the year in 2020, and being amongst the top influencers in the solar industry in 2021.

About the Role

Job Summery The Data Engineer will contribute to ENGIE's Group Data & Intelligence Platform (DIP) Program, building scalable and governed data products on AWS and Databricks. The role involves developing end-to-end data pipelines, implementing DataOps best practices, and supporting global data initiatives in collaboration with teams across France and India. The candidate will work in an Agile environment, delivering high-quality data solutions that drive business value and reusability.

Responsibilities

Key Responsibilities

A. Data Product Delivery – DIP Program

• Contribute to the delivery of data products within the scope of the Group DIP program, in line with its roadmap and priorities.
• Build end-to-end data pipelines and products on the Group platform (AWS, Databricks).
• Ingest data from multiple sources, including business systems, applications, and SharePoint.
• Implement data storage, transformation, quality, and consumption layers.
• Ensure alignment with the technical and governance standards of the Group Data Platform.
• Implement data quality, validation, reconciliation, and testing practices across data products and pipelines.

B. DIP Use Case Execution

• Take ownership of concrete use cases identified within the DIP program's scope.
• Contribute specifically to data products related to the organizational referential (EGOR) and the internal needs of Group Digital & IT.
• Support the upskilling of GBUs by delivering structured and well-documented data assets.

C. Industrialization & Reusability

• Design reusable technical templates to accelerate the delivery of future DIP data products.
• Apply DataOps practices and ensure the production readiness of delivered solutions.
• Contribute to the evolution of platform standards and patterns within the program's framework.

D. Collaboration & Agile Delivery

• Work in close coordination with Product Owners, platform teams, and the Data Office, and the France-based team in a global delivery model.
• Operate in an Agile mode, participating in sprints, ceremonies, reviews, and a continuous improvement process.

Qualifications

• Qualifications - bachelor’s or master’s degree in computer science, Data Engineering, Information Systems, Artificial Intelligence, or a related field.

Required Skills

Expected Skills

• Databricks: Delta Lake, Workflows, medallion architecture
• AWS / CDH (Common Data Hub): S3, Glue, IAM, SMUS
• Infrastructure-as-code : Terraform, Cloud Formation or equivalent
• SQL and dbt
• Spark and Python
• GitHub: Version control, branching strategies
• DataOps practices

Preferred Skills

• Behavioral
• Autonomous and able to be operational from day one.
• Data product mindset—understanding value delivery beyond just building pipelines.
• Strong communication skills in an international, multicultural team context.
• Results-oriented with a rigorous approach to applying standards

Candidate Profile

• Experience: 4+ years of hands-on data engineering experience
• Proven experience on governed cloud data platforms (AWS, Databricks).
• Demonstrated ability to deliver end-to-end data products autonomously.
• Knowledge or experience working within a large-scale Group program is a plus.
• Working hours: 9AM to 6PM (IST)
• Location: Pune.