BI / Data Engineer

Duration: 18/05/2026 - 30/11/2026 (7 months, full-time)

Location: Hybrid

Mission Description & Consulting Profile

Title of the Mission: Data Engineer in the IT Front Data Team

Goal of the Mission:

• Support projects, support tasks in IT Front Data Management & Engineering.

Expected Deliveries:

• Data Pipelines
• Data Modelling & Storage
• Complex SQL Queries
• Tune SQL and jobs
• Maintain existing jobs, fix failures, manage changes/releases, and support new onboardings.

Expected Role & Responsibilities:

• Build and operate the data foundation for analytics and reporting.
• Build, maintain, and optimize batch/streaming pipelines (ingestion → transformation → serving).
• Design schemas and models (e.g., dimensional, Data Vault), and manage & interrogate data lakes/warehouses (e.g., S3/ADLS + Redshift).
• Handle incident troubleshooting/root-cause analysis.
• Orchestration & Automation.
• Stakeholder collaboration.

Description of The Expected Profile

Knowledge:

• SQL (advanced)
• Python
• AWS (Glue, S3, Redshift)

Competencies:

• Strong experience in building and maintaining large-scale data pipelines and optimizing complex queries across big datasets.
• Hands-on Data Engineering, ETL/ELT pipelines, data ingestion, transformation, optimization, debugging & incident resolution.
• Proven experience and ability to work with project managers, business and functional analysts, and source-system owners to clarify requirements and deliver datasets/data products.

Mindset:

• Positive mindset including a will-can-do mentality, ability to work independently and manage/prioritize own work.
• Efficient and transparent communicator, team player.
• Demonstrate a proactive attitude.

Seniority Expected: Senior

Years of Experience: 10+ years