WHO IS ENGIE? ENGIE puts sustainable development at the center of its activities (electricity, natural gas, energy efficiency, and services) to meet the challenges of the energy transition to a low-carbon economy: access to a sustainable economy, climate change mitigation and adaptation, and resource optimization.

WHO ARE WE LOOKING FOR? We are currently searching for Data Architect in S&EM; Italy, based in Rome.

The EM IS team provides new solutions or system integration and support to simplify and automize the business’ daily activities. The solutions are currently Microsoft-based, but a strategic move to a Modern AWS Cloud Platform is in progress. This transformation aims to enable Real-Time Analytics, AI Agents, and High-Frequency Trading support.

ENGIE Supply & Energy Management (S&EM;) 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 Global Business Unit Supply & Energy Management (S&EM;) who built its savoir-faire managing the Group’s large and diverse asset portfolio over 20+ years.

7,500 employees around the world develop our solutions, through 19 countries. 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 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 3 expertise:

- Asset management
- Energy supply , providing green energy & innovative solutions

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

WHAT WILL YOU DO? :

The Data Architect will drive the migration from the legacy ecosystem (Azure SQL/SSIS) to a new AWS-based architecture. Responsibilities include:

- Architectural Design: Design and deploy the new Centralized Data Platform on AWS, defining a modern architecture for real-time data acquisition (Streaming/Batch) and timeseries management using AWS services. Ability to manage the Infrastructure As Code processes.
- Migration Strategy: Lead the reverse engineering of legacy SSIS packages and Stored Procedures, guiding the refactoring into modern Python/AWS Glue pipelines.
- Data Lake Implementation: Design the Data Lake storage layers on Amazon S3 (Bronze/Silver/Gold) to replace rigid Tabular Cubes, ensuring scalability and flexibility.
- AI Enablement: Design the data foundation to support AI Agents and predictive models,



integrating Amazon SageMaker and Athena for advanced analytics.
- Hybrid Connectivity: Implement a secure Hybrid Cloud strategy to ensure data synchronization between the legacy Azure environment and the new AWS Landing Zone during the transition.
- Technical Leadership: Mentor the internal team in the transition from SQL-centric development to Cloud-Native Data Engineering

The candidate will act as the technical reference point for the migration project, working in collaboration with different teams, both Italian and French/Belgian. They will have autonomy in defining technical standards and architectural patterns

ABOUT YOU:

- Bachelor's degree in STEM disciplines (Computer Science, Engineering, Mathematics, Physics, Statistics, or related fields)
- At least 5 years of experience in Data Architecture and Data Engineering roles.
- Deep expertise in AWS Data Stack: specifically Glue, Lambda, Kinesis/Kafka, S3, DynamoDB, Athena and other services.
- Excellent knowledge of Python and SQL for modern pipeline development.
- Experience in designing Event-Driven Architectures and managing Timeseries Data at scale.
- Experience with Infrastructure as Code (Terraform or CloudFormation).
- Experience in developing RESTful APIs for data exposure.
- Knowledge of energy market dynamics (MGP/MI/Gas) and trading processes.
- Experience with Amazon SageMaker and MLOps pipelines for AI model deployment.
- Proven experience with the Microsoft Data Stack (SQL Server, SSIS, SSAS Tabular), essential for understanding and migrating the legacy system.

Therefore, skills needed are

- Excellent command of written and spoken English fo

📌 Data Architect (Roma)
🏢 ENGIE
📍 Roma