Data Engineer

About Trace OneTrace One is a premier SaaS provider of Product Lifecycle Management (PLM) and compliance solutions, specializing in the food & beverage, cosmetics, personal care, and chemical industries. With over 30 years of expertise, we empower more than 9,000 brand owners worldwide to innovate, collaborate, and bring products to market faster while ensuring the highest standards of quality, compliance, and sustainability. Trusted by industry leaders, Trace One combines cutting-edge technology with unmatched expertise to help businesses navigate complexity, accelerate growth, and shape a sustainable future.ContextWithin the Engineering department and the BI & Data Management team, this role consists, in an international and multicultural context, of participating, organizing and planning the design, development and testing of BI products at the heart of our SaaS software platform.As part of an extended team, you will be liaising with colleagues in Europe. Hierarchy and interactions Reporting to the Data Manager and part of the BI & Data managementKey Responsibilities• Understand the technical and functional requirements of customers and internal stakeholders. • Design, implement, and maintain data pipelines across on-premise and cloud environments. • Develop and manage data models, schemas, and warehouses to support analytics and reporting. • Optimize queries and workflows for performance and cost-efficiency. • Collaborate closely with product and analytics teams to deliver robust and scalable data solutions. • Ensure data quality, security, and compliance with best practices. • Automate CI/CD pipelines and monitor data pipelines using DevOps principles. • Contribute to the architecture and evolution of data lakes and data warehouses. • Support data governance, lineage tracking, and compliance practices. Continuous Improvement • Stay up to date with latest advancements in data engineering, evaluating new tools and frameworks. • Propose solutions to improve performance, maintainability, and cost efficiency of data systems. • Contribute to the definition and optimization of methodologies within the company. • Share technical and methodological know-how with peers and foster a culture of learning. Required Skills • Proficiency in SQL and at least one programming language (ideally Python). • Familiarity with Microsoft BI stack (SQL Server, SSIS). • Strong hands-on expertise with cloud data platforms (BigQuery, Snowflake). • Experience with data ingestion, modeling, transformation, and pipeline orchestration (e.g., Dataflow, Dataform, DBT, Airflow). • Familiarity with version control, containerization, and implementing CI/CD pipelines. • Ability to propose creative, effective, and pragmatic technical solutions. • Autonomous, rigorous, and reliable in daily work. • Fluent in English (spoken and written). Preferred Skills • Experience with data visualization tools (Looker, Tableau, Power BI). • Experience with ML pipelines and MLOps practices. • Knowledge of real-time data streaming (Kafka, RabbitMQ, Pub/Sub). • Familiarity with data quality frameworks and governance. • Experience working in an Agile methodology environment.The Trace One group is an equal opportunities employer.If you recognize yourself in this offer, don't hesitate any longer and send us your application!