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You are a Senior Data Engineer who enjoys building reliable, scalable data platforms and enabling data-driven and AI-powered products. You feel comfortable owning data pipelines end to end, working closely with analytics and AI/Data Science teams, and translating complex data problems into robust technical solutions.
You value clean architecture, performance, and data quality, and you’re curious about AI/ML integrations even if you’re not a model builder. You thrive in collaborative environments and can operate with autonomy while guiding best practices across teams. You Bring to Applaudo the Following Competencies: Bachelor’s degree or higher in Computer Science, Computer Engineering, or related field — or equivalent professional experience. 5+ years of experience as a Data Engineer, building and operating production-grade data pipelines. Strong expertise in SQL, including advanced joins, CTEs, window functions, and performance tuning. Experience designing data models and analytical structures (dimensional models, facts, dimensions,



SCDs). Hands-on experience building ETL/ELT pipelines using modern orchestration tools (Airflow, Dagster, DBT, or similar). Proficiency in Python for data processing and pipeline development (Py Spark is a strong plus). Solid experience working with cloud platforms (AWS, Azure, or GCP) for data storage and processing. Familiarity with data platforms such as Snowflake, Databricks, Postgre SQL, or similar. Experience using Git and CI/CD practices as part of a modern data engineering workflow. Exposure to supporting AI/Data Science initiatives, such as data enablement for models, embeddings, entity matching, or advanced analytics (nice to have). Familiarity with graph databases, embeddings, or AI integrations from a data engineering perspective (nice to have). Ability to work independently and collaborate effectively with analysts, ML engineers, and product teams. Advanced English proficiency (B2

📌 Senior data engineer (México)
🏢 Applaudo
📍 México