Senior Data Engineer H/F - IDEMIA IST

IDEMIA Secure Transactions, une division du groupe IDEMIA, est le principal fournisseur de technologies qui rendent les paiements et les connexions plus sûrs et plus simples. Grâce à une expertise inégalée en cryptographie et en émission de moyens d'identification (credentials), IST bénéficie de la confiance de plus de 2 000 institutions financières, opérateurs mobiles, constructeurs automobiles et fournisseurs IoT à travers le monde.Chaque jour, IST sécurise des milliards de transactions essentielles, en garantissant les plus hauts niveaux de protection des données et de praticité.
IDEMIA Secure Transactions, a division of IDEMIA Group, is the leading technology provider making it safer and easier to pay and connect. With unmatched expertise in cryptography and credential issuance, IST is trusted by over 2,000 financial institutions, mobile operators, automotive manufacturers, and IoT providers worldwide. Every day, IST secures billions of essential transactions, ensuring the highest levels of data protection and convenience.PurposeWithin the Global Data Team, you will contribute to the design, development, and operation of IDEMIA's enterprise Data Platform and GenAI Platform on AWS. Working alongside Data Engineers, Architects, Data Scientists, and AI Engineers, you will build scalable data products, industrialize data pipelines, and support the development of AI and Generative AI capabilities across the Group. Key MissionsMain Responsibilities Design, develop, and maintain scalable batch and near real-time data pipelines. Build and optimize ETL/ELT processes on AWS and Apache Spark. Develop and maintain data products supporting Analytics, BI, Data Science, and GenAI use cases. Contribute to the evolution of IDEMIA's Lakehouse architecture. Ensure data quality, governance, lineage, security, and performance. Participate in the development of the enterprise GenAI platform, including knowledge ingestion pipelines, RAG architectures, and integration with Amazon Bedrock. Collaborate with Data Scientists and AI Engineers to industrialize AI and GenAI solutions. Contribute to CI/CD, Infrastructure-as-Code, observability, and DataOps best practices. Technical Environment AWS (S3, Glue, EMR, Lambda, ECS/EKS, Step Functions, IAM, CloudWatch) Apache Spark (PySpark) Apache Iceberg / Lakehouse Architecture Airflow / MWAA Terraform GitLab CI/CD Python, SQL, Scala (nice to have) Amazon Bedrock LangChain / LangGraph Vector databases and RAG architectures

Profile & Other InformationProfile Master's Degree (Engineering School or University). 5+ years of experience in Data Engineering. Strong experience with AWS, Spark, and modern data platforms. Solid software engineering mindset and DataOps practices. Interest in AI and Generative AI technologies. Fluent English required. Nice to Have Experience with Kafka or streaming architectures. Knowledge of Data Mesh and Data Products. Experience with MLOps or GenAI platforms. Exposure to enterprise AI solutions on AWS.