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Notre client dans le secteur Énergie et ressources naturelles recherche un/une Data Engineer H/F
Description de la mission :
Context
An 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.
A 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.
Mission
Develop 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.
Main Responsibilities
Develop and maintain scalable data pipelines and services on AWS using Python
Ensure data quality through validation, cleansing, standardization and monitoring
Manage data governance, metadata and data lifecycle processes
Support user onboarding, provide training and resolve data-related issues
Ensure data reliability and discoverability, as well as operational excellence
Collaborate with business stakeholders and the data governance team to continuously improve the platform and its capabilities
Provide production support and contribute to data integration and monitoring
Technical Environment
Cloud & Development: AWS, Python
Data: Big Data architecture and technologies, data management systems, time-series systems
Practices: Agile methodology, DevOps
Required Profile
Experience
Experience in data engineering, with Python expertise assessed at 8 years and AWS experience of 8 to 10 years
Experience in Big Data architecture and technologies and data management systems, assessed at more than 10 years
Experience with complex information systems, business processes and software development, assessed at 8 to 10 years
Experience in DevOps and commodity markets, particularly gas and electricity, assessed at 3 to 5 years
Experience providing business user support in a production environment
Technical Skills
Strong experience in data engineering with Python and AWS
Strong knowledge of Data Management, data quality and data governance
Experience in data integration, monitoring and production support
Personal Skills
Excellent communication and stakeholder management skills
Analytical mindset and user-oriented approach
Proactive mindset, ability to take initiative within one’s scope of responsibility and strong problem-solving orientation
Languages
English, expert level indicated in the document
Compétences / Qualités indispensables :
Ingénierie 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
Compétences / Qualités qui seraient un + :
/Informations concernant le télétravail :
Oui — 3 jours/semaine
Candidate profile
Ingénierie 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
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Data Engineer
LeHibou
