Data Engineer

About EDF R&D and the SEQUOIA Department

At the intersection of essential challenges, join EDF, an internationally recognized group committed to the energy transition. Within EDF R&D at the EDF LAB Paris Saclay site, our mission is to contribute to the performance of the group's operational units. You will join the SEQUOIA department, specifically the 'Customer Consumption Analysis, Supply Offers' group, composed of about twenty research engineers.

Your Missions

• Configure infrastructures appropriately and optimally for users who manipulate data.
• Identify constraints and technical components for collecting, storing, and manipulating data from various internal or external sources.
• Make data available by organizing it optimally for Data Scientists, Data Analysts, or various developers who will process the data.
• Ensure the operation and monitoring of data flows and applications deployed in production.
• Structure databases (semantic, format, etc.) within the data lake as needed.
• Participate in Proofs of Concept (POCs) to test and qualify new solutions proposed by IT services, depending on ongoing activities.
• Proactively suggest improvements to the technical foundation (data access, integration, storage, and valorization) when components become obsolete.
• Leverage AI to master tools and technologies for optimizing data flows, including real-time data processing systems and the integration of AI algorithms into data pipelines.
• Work on automating large-scale data management and with architectures adapted to increasingly complex Machine Learning and Deep Learning models.

Qualifications and Desired Skills

• Education: Bac+5 (Engineering degree, Master's in Applied Mathematics, Statistics, Artificial Intelligence, or Data Engineering).
• Technical Skills: Data modeling, data quality assurance with monitoring indicators, relational or NoSQL databases, Big Data storage and processing, automated data flows using ETL tools, programming (specifications, design, development, testing).
• Cross-functional Skills: Communication, problem-solving, project management.
• Tools: Data analysis and visualization tools (PowerBI, Dash, Grafana, Kibana), Cloud platforms (Amazon AWS, Microsoft Azure, Google Cloud Platform).
• Experience: Previous experience is appreciated.
• Additional Advantage: Knowledge in data science and experience in Big Data processing.

Key skills/competency

• Data Engineering
• Big Data
• ETL
• Data Modeling
• Data Warehousing
• Cloud Platforms (AWS, Azure, GCP)
• Data Visualization
• Python/SQL
• Machine Learning
• Data Pipelines