Senior Data Engineer

This role designs, builds, and maintains scalable data pipelines and ETL processes to support analytics and machine learning initiatives. The engineer will work with large-scale consumer datasets, optimize data infrastructure, and ensure data quality and reliability.

The Data Engineer will build and maintain data pipelines and infrastructure, designing ETL processes, ensuring data quality, and optimizing data storage. Requires strong programming and database skills.

This role leads the IT data strategy by implementing ETL patterns and building dependable data infrastructure. The engineer will partner with business and engineering teams to prioritize requests and deliver results against time-sensitive priorities. Responsibilities include working with databases like Vertica and MySQL, developing in Java and Python, and integrating with third-party APIs like Salesforce and Workday.

This role owns the data platform behind AI features, designing data models and storage architecture across relational, graph, and retrieval-oriented data. The engineer builds and operates APIs, backend services, and ingestion pipelines, ensuring data correctness, query performance, and scalability. Requires 6+ years in backend/data engineering with strong Python and SQL, and experience with production AWS services.

This Partner role is responsible for growing Artefact's commercial business in Romandie, taking over an existing client portfolio and expanding it. The role involves opening new accounts, leading client executives through data and AI transformation, and growing the Lausanne team. Requires 12-15 years of consulting experience with a proven sales track record.

This research internship focuses on developing methods to mitigate bias in deep learning models with respect to continuous sensitive variables like age, income, or skin tone. The intern will implement existing fairness regularization techniques, design new debiasing methods, and establish robust evaluation protocols, using PyTorch and scikit-learn.

This role takes senior ownership of paid social activity across two key client accounts, combining account strategy, technical auditing, campaign management, and senior client management. The Senior Paid Social Account Manager must independently assess and optimize Meta environments, including Business Manager setup, campaign architecture, Pixel and Conversions API configuration, and audience strategy. Strong hands-on Meta expertise is essential, with TikTok Ads experience highly desirable, and the role includes developing testing roadmaps and coordinating with other media teams.