What will you do? * Design, build and maintain reliable and scalable data pipelines to support analytics, reporting, and future ML use cases; * Contribute to our modern cloud-based data platform on Azure and Databricks; * Collaborate closely with data analysts and data scientists to co-create data products; * Support and contribute to our internal data platform, alongside our data platform engineer; * Continuously improve data quality, documentation, and performance; * Advocate for best practices in DataOps: CI/CD, monitoring, alerts, testing, and infrastructure as code. What are we looking for?* More than 7 years of experience in data engineering, ideally with some hands-on exposure to analytical engineering practices (e.g., data modeling, transformation logic); * Deep understanding of data pipeline orchestration, distributed processing, and building resilient and testable ETL/ELT systems; * Experience in Scala or Python with strong SQL skills and production-level Spark experience; * Experience with cloud-native architectures, especially Azure Cloud Platform and Databricks; * Familiarity with streaming data frameworks (Kafka, Event Hubs or similar); * Solid understanding of data modeling concepts, particularly in the context of analytics and reporting (conceptual/logical/physical models); * Fluency in English (mandatory). What do we offer?* Health insurance; * Feedback\&Coffee – the system encompassing the Performance Management Cycle, including regular feedback sessions and Aubay’s Career Progression Model; * Work model: remote; * A Training Academy designed around your needs. You can count on technical and soft skills training (e-learning and classroom), Meet\&Techs, Webinars, and Mentoring. * Events and teambuilding activities. What sets us apart?* Our organizational culture is built on values such as transparency, teamwork, regular feedback, and continuous learning; * Referral bonuses and birthday gifts; * We have no dress code; * We know your name and address each other informally; * You'll grow in good company. Isn't this one of the ways to progress professionally?