Data Architect
Engie is hiring a Data Architect. It pays €45k-€50k a year and Level rates it ; you can apply on Engie.
Level's read on this job
- Level rates this role Little AI ●○○○: aI is not part of the work.
- The posting mentions SageMaker, AI agents and MLOps among its tools and skills.
- Level classes it as a senior role.
- Engie has 688 other open roles on Level.
- Posted within the past two weeks.
AI in this role
DATA ARCHITECT
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
- Risk management & market access
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.
Desirable:
- 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 for working in international contexts.
- Interactive behavior: Active Listening and verbal and written communication skills.
- Problem solving: Issues perception, analyzing, practical thinking, creativity, innovation and the ability to work both in a team and independently.
- Personal effectiveness: Facilitation skills, pragmatism and pro-activity, resilience to stress, taking initiative, learning ability.
- Ability to communicate complex results to technical and non-technical stakeholders through dashboards and reports.
Type of contract:
Permanent contract according to local labour law.
The gross annual salary for the role ranges between €45.000 and €50.000, depending on experience and level of seniority.
ABOUT ENGIE:
At ENGIE, every talent has a role to play in accelerating the energy transition. Make a difference and enjoy a fulfilling professional experience. Take on exciting challenges and build a career path that reflects who you are.
Join us and be part of the adventure of the century!
Our commitment is clear: We support a social model that balances economic performance with positive impact on people and the planet. We bet on the power of community and act as part of a community committed to disrupting and reinventing the future. Diversity and inclusion are at the core of our corporate culture. ENGIE is committed to combating all forms of discrimination in employment, access to training and promotion. Therefore, the integration and support of youth, adults, and people with disabilities, regardless of gender, ethnicity, or religion, are key priorities of human resources policy.
Recognized for 2025 by Sole24Ore as a leading company in diversity & inclusion, the ISO 30415:2021 and UNI PDR 125:2022 certifications are further proof of our commitment.
How we rate this
Data Architect at Engie rates 23 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- How do you monitor a model once it's live, and how do you know it needs retraining?
- What are the limits of SageMaker that you've run into, and how did you work around them?
Adapt your resume
- List these exact terms on your resume: AI agents, ML Ops, and SageMaker. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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