Senior Data Engineer (AI Data Platform)

5+ years of experience as a Data Engineer. Strong experience with Snowflake, dbt, SQL, and ETL pipelines. Experience implementing Medallion Architecture and designing scalable data models. Experience with AWS S3, Dagster (or similar orchestration tools), and PostgreSQL or Supabase. Upper-Intermediate to Advanced English proficiency (B2+/C1). About Us We Are Engineered Different. At Applaudo, talented people design, build, and scale meaningful, AI-powered solutions that create real business impact. As an AI-native organization, we collaborate across design, development, cloud, data, and artificial intelligence to turn ideas into scalable products that transform how companies operate, make decisions, and grow. We are building a high-performance culture grounded in five values: Empowering Excellence, Collaborative Teamwork, Unsolicited Respect, Consistent Transparency, and Efficient Communication . These define how we work, how we support one another, and how we hold ourselves accountable. Applaudo is a place for people who want to learn fast, take ownership, and work alongside strong teams they are proud to belong to. Joining us means being part of an organization that is evolving intentionally, investing in modern ways of working, and leading AI-native transformation at scale. About You You are a Senior Data Engineer passionate about building scalable data platforms that power AI-driven products and advanced analytics. You thrive in collaborative environments where you can design modern data architectures, optimize data pipelines, and enable engineering and AI teams with reliable, high-quality data solutions. You enjoy solving complex data challenges, implementing cloud-native architectures, and continuously improving data engineering practices. You are proactive, analytical, and committed to building robust, scalable, and maintainable data platforms. Note: This is a 6-month temporary opportunity with the possibility of extension. You Bring to Applaudo the Following