Data Engineer AWS

bENGIE 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. /ppThe 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. /ppbENGIE Supply Energy Management (SEM) /bprovides 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. /ppENGIE 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. /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. /ppOur 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. /ppOur 3 expertise: /pulliAsset management /liliEnergy supply , providing green energy innovative solutions /li /ulpAt SEM we encourage breakthrough results, team spirit, curiosity and innovation while preserving the right work/life balance for you. /bb: /b /ppThe Data Architect will drive the migration from the legacy ecosystem (Azure SQL/SSIS) to a new AWS-based architecture. pulliArchitectural 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. /liliMigration Strategy: Lead the reverse engineering of legacy SSIS packages and Stored Procedures, guiding the refactoring into modern Python/AWS Glue pipelines. /liliData Lake Implementation: Design the Data Lake storage layers on Amazon S3 (Bronze/Silver/Gold) to replace rigid Tabular Cubes, ensuring scalability and flexibility. /liliAI Enablement: Design the data foundation to support AI Agents and predictive models, integrating Amazon SageMaker and Athena for advanced analytics. /Implement a secure Hybrid Cloud strategy to ensure data synchronization between the legacy Azure environment and the new AWS Landing Zone during the transition. /liliTechnical Leadership: Mentor the internal team in the transition from SQL-centric development to Cloud-Native Data Engineering /li /ulpThe 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 /ppbABOUT YOU: /b /pulliBachelor's degree in STEM disciplines (Computer Science, Engineering, Mathematics, Physics, Statistics, or related fields) /liliAt least 5 years of experience in bData Architecture /b and bData Engineering /b roles. /liliDeep expertise in bAWS Data Stack /b: specifically bGlue, Lambda, Kinesis/Kafka, S3, DynamoDB, Athena and other services /b. /liliExcellent knowledge of bPython /b and SQL for modern pipeline development. /liliExperience in designing bEvent-Driven Architectures /b and managing bTimeseries Data /b at scale. /liliExperience with bInfrastructure as Code /b (Terraform or CloudFormation). /liliExperience in developing bRESTful APIs /b for data exposure. /liliKnowledge of energy market dynamics (MGP/MI/Gas) and trading processes. /liliExperience with bAmazon SageMaker /b and MLOps pipelines for AI model deployment. /liliProven experience with the bMicrosoft Data Stack /b (SQL Server, bSSIS /b, bSSAS Tabular /b), essential for understanding and migrating the legacy system. /li /ulpTherefore, skills needed are /pulliExcellent command of written and spoken English for working in international contexts. /liliAbility to communicate complex results to technical and non-technical stakeholders through dashboards and reports. /li /ulpbType of contract: /b /ppPermanent contract according to local labour law. /ppThe gross annual salary for the role ranges between €45.000 and €50.000, depending on experience and level of seniority. /Make a difference and enjoy a fulfilling professional experience. We support a social model that bal