Senior Data Engineer

Senior Data Engineer - 12 Months Contract - Paris, France

Hybrid 3 days on site 2 days remote Must be able to speak fluent French with a good command of English Client will only accept CV's in English

Required - Azure Functions - Azure Data Lake Storage (ADLS Gen2). Azure Container Instances. Azure Event Hubs (for streaming). Advanced proficiency in Python (including Pandas). Transformation - Use of custom Python scripts for data cleaning & contextualization. Knowledge of data science is a plus. Strong command of Git and GitHub. Quality practices: - Testing: Pytest -Linting: Ruff/Black

Main Goal

The Senior Data Engineer's mission is to design, develop, & industrialize data solutions for the product, ensuring a scalable, maintainable architecture aligned with Digital Factory standards.

Senior Data Engineer responsibilities & tasks

Engineering & Development

• Design & develop robust & high-performance data pipelines
• Participate in designing & implementing data architectures aligned with product needs
• Ensure code quality through Clean Code principles, DDD, & peer reviews
• Contribute to product documentation related to data

Industrialization

• Contribute to data flow observability (monitoring, alerting, logs)
• Optimize processing performance & infrastructure costs (Data FinOps)
• Ensure data security & compliance

Technical Support & Expertise

• Communicate effectively with business stakeholders & translate business needs into technical requirements
• Provide technical input on user story feasibility during Agile ceremonies
• Troubleshoot & prevent production incidents
• Actively collaborate within the team & across roles
• Contribute to the community (Chapter) by sharing technical feedback & best practices

Databases

• Strong knowledge of relational databases
• Good understanding of non-relational databases

Data Ingestion

• Collect hot business data (near Real Time * ~15 minutes) from Azure Event Hub
• Collect cold business data from Azure Data Lake
• Ability to build pipelines supporting both types of data

With over 90 years' combined experience, NES Fircroft (NES) is proud to be the world's leading engineering staffing provider spanning the Oil & Gas, Power & Renewables, Chemicals, Construction & Infrastructure, Life Sciences, Mining and Manufacturing sectors worldwide. With more than 80 offices in 45 countries, we are able to provide our clients with the engineering and technical expertise they need, wherever and whenever it is needed. We offer contractors far more than a traditional recruitment service, supporting with everything from securing visas and work permits, to providing market-leading benefits packages and accommodation, ensuring they are safely and compliantly able to support our

Hybrid 3 days on site 2 days remote Must be able to speak fluent French with a good command of English Client will only accept CV's in English

Required - Azure Functions - Azure Data Lake Storage (ADLS Gen2). Azure Container Instances. Azure Event Hubs (for streaming). Advanced proficiency in Python (including Pandas). Transformation - Use of custom Python scripts for data cleaning & contextualization. Knowledge of data science is a plus. Strong command of Git and GitHub. Quality practices: - Testing: Pytest -Linting: Ruff/Black

With over 90 years' combined experience, NES Fircroft (NES) is proud to be the world's leading engineering staffing provider spanning the Oil & Gas, Power & Renewables, Chemicals, Construction & Infrastructure, Life Sciences, Mining and Manufacturing sectors worldwide. With more than 80 offices in 45 countries, we are able to provide our clients with the engineering and technical expertise they need, wherever and whenever it is needed. We offer contractors far more than a traditional recruitment service, supporting with everything from securing visas and work permits, to providing market-leading benefits packages and accommodation, ensuring they are safely and compliantly able to support our