Description

Every day, the tl transport more than passengers - on 40 bus and metro lines by implementing mobility solutions, operating a fleet of road and rail vehicles, traveling on a network 260 km long. Public transport of tomorrow will cover the densest sectors and allow easy access to neighborhoods, employment hubs, shops, and leisure areas. If you wish to be an actor in our development, we invite you to join us!We are looking for our EngineerYour MissionYou join the new Architecture & AI team within the tl Office. This team positions itself as a link in the tl value chain. Come and set up the foundations on which all the company's analytical and decision-making uses will rely!You take charge of data from the moment it is available in raw form in the data layer (raw layer). You design, develop, and maintain data pipelines and transformations that make it reliable, consistent, and usable for analytical and decision-making purposes. You work in close collaboration with IT specialists, Governance, and the business. Your scope extends to analytical layers: you also wear an Analytics Engineer hat, modeling structured data and semantic layers intended for decision-making uses (Tableau, advanced analyses).You are responsible for maintaining the data architecture as defined and evolving it in the interest of the company, by proposing improvements and anticipating future needs. You are also a guarantor of code standards and good data engineering practices within the Office. You play an evangelist role with the teams, promoting a culture of technical excellence and supporting the adoption of solutions. You contribute to data quality by implementing controls and monitoring mechanisms within the pipelines, in complementarity with data quality specialists.Rigorous and passionate about data, you are committed to building a solid, scalable, and well-documented technical foundation, allowing tl to become a truly data-driven company.Profile- University degree (Master's) in data engineering, systems, or equivalent field- At least 3 years of professional experience in data pipeline development, data modeling, and SQL mastery- Good knowledge of Python- Knowledge of modern data architectures (warehouse, lake, vault, medallion architecture)- Mastery of an analytical platform such as Snowflake or similar- Experience with data pipeline tools (Azure Data Factory, dbt, Airflow or equivalent) and DevOps (Git, CI/CD)- Ability to structure and document data flows rigorously- Possessing a good sense of communication, ease of interaction, and developed intellectual curiosity- Good knowledge of English- Knowledge of unstructured and real-time data management is a plusAdditional InformationThe company: Find all information related to our company on our websiteWorkplace: PerreletContract: CDI at 100%, start date to be agreed uponProcess: 1 interview with manager + HR, and if positive, you will be invited to a half-day internship jidb095259aen jit0624aen jpiy26aen