Data Engineer Consultant

We are looking for a Data Engineer with at least 2 years of experience in data-oriented backend projects, who has participated in the design and development of end-to-end data pipelines, covering the different layers of ingestion, transformation, and storage.

• At least 2 years of experience in Data Engineering or data-oriented backend projects.
• Experience with Azure or AWS.
• Experience programming in Python and SQL.
• Knowledge of data modeling and architectures such as Data Lake / Data Warehouse / Lakehouse.
• Intermediate level of English.

What is it like to work at Deloitte?

🤩 High-impact projects where you will have a long career and learning path

☯️ Hybrid-flexible day-to-day: you will have flexible hours and a good balance between remote work and teamwork in our offices or those of our clients

⚽ Good atmosphere inside and outside the office: you will enjoy several team-building activities per year, cultural and sports activities... and much more!

🧘♀️ Comprehensive well-being: take care of yourself with our physical, mental, and financial health program... and with a medical team in the offices!

🤲 Social impact: You can sign up for a large number of national and international volunteering opportunities and pro-bono projects to put your time and talent at the service of those who need it most

🗣️Feedback and continuous learning culture: you will grow in an inclusive environment where equal opportunities and your personalized training plan will boost your development. Can you already see yourself at the Deloitte University in Paris?

🤝 Exclusive benefits for being part of Deloitte: you will be able to enjoy a wide catalog of benefits and a comprehensive flexible compensation plan

Imagine yourself participating in the transformation of the leading national and international organizations?

At Deloitte, we are committed to making an impact on society, our clients, and you.

• Design, develop, and maintain end-to-end data pipelines, from ingestion to the consumption layer.
• Implement data ingestion processes from multiple sources (APIs, databases, files, external systems).
• Develop data transformation and enrichment processes, ensuring quality, traceability, and efficiency.
• Design and optimize data models for analytics and reporting.
• Work with Azure services such as:
• Azure Data Factory for pipeline orchestration.
• Azure Data Lake Storage for data storage.
• Azure Synapse, Databricks, and/or Microsoft Fabric for processing and transformation.
• Implement best practices for versioning, error handling, logging, and pipeline monitoring.
• Collaborate with BI, analytics, and business teams to understand requirements and translate them into technical solutions.
• Participate in data architecture decisions and the continuous improvement of existing solutions.
• Document developments and data flows in a clear and maintainable manner.