Data Engineer

h3Description De La Mission /h3 h3Context /h3 pAn energy markets analysis team produces fundamental analysis and economic studies to support trading and portfolio management activities. In this dynamic environment, the team combines energy market expertise, quantitative analysis and data science. /p pNotre client dans le secteur Énergie et ressources naturelles recherche un/une Data Engineer H/F /p h3Context /h3 pAn energy markets analysis team produces fundamental analysis and economic studies to support trading and portfolio management activities. In this dynamic environment, the team combines energy market expertise, quantitative analysis and data science. /p pA time-series management platform has been implemented to address scalability, access to high-quality data, data discovery and governance requirements. Built on a modern data architecture, it is supported by a team of data experts working in an agile environment with business stakeholders and a data governance team. The team is looking to strengthen its capabilities to support the expansion of the platform. /p h3Mission /h3 pDevelop and maintain the platform’s data pipelines and services while ensuring data quality, governance, reliability and accessibility. The role also involves supporting business users and continuously improving the platform in collaboration with the relevant teams. /p h3Main Responsibilities /h3 ul liDevelop and maintain scalable data pipelines and services on AWS using Python /li liEnsure data quality through validation, cleansing, standardization and monitoring /li liManage data governance, metadata and data lifecycle processes /li liSupport user onboarding, provide training and resolve data-related issues /li liEnsure data reliability and discoverability, as well as operational excellence /li liCollaborate with business stakeholders and the data governance team to continuously improve the platform and its capabilities /li liProvide production support and contribute to data integration and monitoring /li /ul h3Technical Environment /h3 ul liCloud Development: AWS, Python /li liData: Big Data architecture and technologies, data management systems, time-series systems /li liPractices: Agile methodology, DevOps /li /ul h3Experience /h3 h3Required Profile /h3 ul liExperience in data engineering, with Python expertise assessed at 8 years and AWS experience of 8 to 10 years /li liExperience in Big Data architecture and technologies and data management systems, assessed at more than 10 years /li liExperience with complex information systems, business processes and software development, assessed at 8 to 10 years /li liExperience in DevOps and commodity markets, particularly gas and electricity, assessed at 3 to 5 years /li liExperience providing business user support in a production environment /li /ul h3Technical Skills /h3 ul liStrong experience in data engineering with Python and AWS /li liStrong knowledge of Data Management, data quality and data governance /li liExperience in data integration, monitoring and production support /li /ul h3Personal Skills /h3 ul liExcellent communication and stakeholder management skills /li liAnalytical mindset and user-oriented approach /li liProactive mindset, ability to take initiative within one’s scope of responsibility and strong problem-solving orientation /li /ul h3Languages /h3 ul liEnglish, expert level indicated in the document /li /ul h3Compétences / Qualités Indispensables /h3 pIngénierie data avec Python, AWS, Data Management et gouvernance des données, Qualité et intégration des données, Support de production et accompagnement des utilisateurs, Communication et gestion des parties prenantes /p h3Informations Concernant Le Télétravail /h3 pOui — 3 jours/semaine /p h3Profil Candidat /h3 ul liIngénierie data avec Python /li liAWS /li liData Management et gouvernance des données /li liQualité et intégration des données /li liSupport de production et accompagnement des utilisateurs /li liCommunication et gestion des parties prenantes /li /ul