Senior Data Engineer - Data & AI

Description

Job Summary: We are seeking a hybrid Senior Data Engineer to drive the evolution of our data platform with a focus on AI, combining strong technical expertise and strategic vision. Key Highlights: 1. Work on AI and MLOps projects 2. Evolution of the data platform and architecture (Lakehouse) 3. Technical reference role in data engineering We are looking for a **Senior Data Engineer** to work with one of our clients, actively contributing to the evolution of the data platform and strategic initiatives, including AI projects. We seek a hybrid profile that combines **strong technical expertise in data engineering** with **strategic vision**, operating both in execution and solution direction. ### **Responsibilities** * Develop, maintain, and evolve data pipelines in cloud environments (GCP) * Participate in building and evolving the data architecture (Lakehouse) * Work with large-scale data volumes, ensuring performance, quality, and scalability * Provide technical support to the team, serving as a reference for best practices and architectural decisions * Lead and participate in advanced initiatives, including **AI and MLOps projects** * Develop and optimize data ingestion, transformation, and delivery processes * Work with workflow orchestration (Airflow or similar) * Integrate data for analytical consumption (pre-built BI, Power BI) * Align business strategy with technical data solutions ### **Requirements** * Solid experience in **Data Engineering** and data architecture * Experience with **cloud environments (preferably GCP)** * Proficiency in **Python, SQL, and Spark** * Experience building **data pipelines (ETL/ELT)** * Knowledge of **data orchestration (Airflow or similar)** * Experience with **Lakehouse architecture (Delta / Databricks)** ### **Nice-to-Haves** * Experience with **MLOps and AI projects** * Involvement in building **AI agents or AI-based solutions** * Experience in highly mature data environments * Experience supporting or technically leading teams ### **Employment Type:** CLT or PJ ### **Required Knowledge and Skills:** GCP, Python, SQL, Spark, Data Pipelines (ETL/ELT), Data Orchestration (Airflow or similar), Lakehouse Architecture (Delta / Databricks), MLOps ### **Benefits:** Childcare Assistance, Remote Work Allowance, Totalpass, Education Assistance, Birthday Day Off, Health Insurance, Dental Insurance, Life Insurance, Flexible Meal Voucher, Transportation Voucher ### **Department:** Growth \& Digital Strategy