24 ott - Italia
ENGIE Italia
h3DATA ARCHITECT /h3 h3DATA ARCHITECT /h3 h3WHO IS ENGIE? /h3 pENGIE 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. /p h3WHO ARE WE LOOKING FOR? /h3 pWe are currently searching for Data Architect in SEM Italy, based in Rome. /p pThe 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. /p h3ENGIE Supply Energy Management (SEM) /h3 pprovides 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. /p pENGIE 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 (SEM) who built its savoir-faire managing the Group’s large and diverse asset portfolio over 20+ years. /p p7,500 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. /p pOur 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. /p h3OUR 3 EXPERTISE /h3 ul liAsset management /li liEnergy supply , providing green energy innovative solutions /li liRisk management market access /li /ul pAt SEM we encourage breakthrough results, team spirit, curiosity and innovation while preserving the right work/life balance for you. /p h3WHAT WILL YOU DO? /h3 pThe Data Architect will drive the migration from the legacy ecosystem (Azure SQL/SSIS) to a new AWS-based architecture. Responsibilities include: /p ul liArchitectural 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. /li liMigration Strategy: Lead the reverse engineering of legacy SSIS packages and Stored Procedures, guiding the refactoring into modern Python/AWS Glue pipelines. /li liData Lake Implementation: Design the Data Lake storage layers on Amazon S3 (Bronze/Silver/Gold) to replace rigid Tabular Cubes, ensuring scalability and flexibility. /li liAI Enablement: Design the data foundation to support AI Agents and predictive models, integrating Amazon SageMaker and Athena for advanced analytics. /li liHybrid 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. /li liTechnical Leadership: Mentor the internal team in the transition from SQL-centric development to Cloud-Native Data Engineering /li /ul pThe 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 /p h3ABOUT YOU /h3 ul liBachelor's degree in STEM disciplines (Computer Science, Engineering, Mathematics, Physics, Statistics, or related fields) /li liAt least 5 years of experience in Data Architecture and Data Engineering roles. /li liDeep expertise in AWS Data Stack: specifically Glue, Lambda, Kinesis/Kafka, S3, DynamoDB, Athena and other services. /li liExcellent knowledge of Python and SQL for modern pipeline development. /li liExperience in designing Event-Driven Architectures and managing Timeseries Data at scale. /li liExperience with Infrastructure as Code (Terraform or CloudFormation). /li liExperience in developing RESTful APIs for data exposure. /li /ul h3DESIRABLE /h3 ul liKnowledge of energy market dynamics (MGP/MI/Gas) and trading processes. /li liExperience with Amazon SageMaker and MLOps pipelines for AI model deployment. /li liProven experience with the Microsoft Data Stack (SQL Server, SSIS, SSAS Tabular), essential for understanding and migrating the legacy system. /li /ul h3THEREFORE, SKILLS NEEDED ARE /h3 ul liExcellent command of written and spoken English for working in international contexts. /li liInteractive behavior: Active Listening and verbal and w
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