You will join the new Data Architecture & AI team within the tl Data Office. This team positions itself as the first link in the tl data value chain. Come and lay the foundations on which all the company’s analytical and decision-making uses will rely!

You take charge of the data from the moment it is available in raw form on the data platform (raw layer). You design, develop and maintain the transformation and structuring pipelines that make it reliable, coherent and usable for analytical and decision-making purposes. You work closely with IT application specialists, Data Governance and Data Scientists.

Your scope extends to the analytical layers: you also take on the role of Analytics Engineer, modelling structured datasets 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 company’s interest, proposing improvements and anticipating future needs.

You are also the guarantor of coding standards and good data engineering practices within the Data Office. You play an evangelist role with the teams, promoting a culture of technical excellence and supporting the adoption of platform solutions.

You contribute to data quality by implementing controls and monitoring mechanisms within the pipelines, complementing the data quality specialists.

Meticulous and passionate about data, you are committed to building a solid, scalable and well-documented technical foundation, enabling tl to become a truly data-driven company.

• University degree (Master’s) in computer science, data engineering, information systems or equivalent field
• At least 3 years of professional experience in data pipeline development, data transformation and modelling
• Proficiency in SQL and good knowledge of Python
• Knowledge of modern data architectures (data warehouse, data lake, data vault, medallion architecture)
• Mastery of an analytical data platform such as Snowflake or Databricks — Snowflake is an asset
• Experience with transformation pipeline orchestration tools (Azure Data Factory, dbt, Airflow or equivalent) and DataOps/DevOps practices (Git, CI/CD)
• Ability to structure and document data flows rigorously
• Good communication skills, interpersonal ease and developed intellectual curiosity
• Good knowledge of English
• Knowledge of unstructured and real-time data management is an asset

• The company: Find all information related to our company at www.t-l.ch.
• Workplace: Perrelet (Renens)
• Contract: Permanent contract at 100%, starting date to be agreed
• Process: 1 interview with manager + HR, and if positive, you will be invited to a half-day internship