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Crea una Job Alert gratuita per cdi - data engineer - python / italia

Cdi - data engineer - python

Pubblicato il 23-08-2026 - CARDO AI in Italia

Join to apply for the Senior Data Engineer role at CARDO AI About Cardo AI Since 2018, Cardo AI has been empowering banks, trustees, and investors with a platform that optimizes portfolios, streamlines transactions, and unlocks new growth opportunities. With over $40 Bn in assets under management, our goal is to expand the Asset-Based Finance (ABF) market beyond $40 Tn while fostering a future based on speed, confidence, and innovation. By combining automated workflows, comprehensive data, and AI-driven insights, we turn complexity into opportunity, helping clients stay ahead in an evolving market. Encina, Blackstone, and other top institutions trust Cardo AI to power their private credit strategies. Role Overview We are looking for a highly experienced Senior Data Engineer to join our Data Engineering team and support Cardo AI's rapid growth. You will be responsible for designing, building, and maintaining scalable, performant data pipelines and data warehousing solutions. Your work will enable the AI algorithms and data science products that power our platform.



As a Senior Data Engineer at Cardo AI you will Design, develop, and maintain scalable ETL pipelines using Apache Spark and Airflow Optimize SQL queries running on Trino Lead large scale data lakehouse and analytics projects with high business impact Provide technical leadership and mentorship to junior engineers on data engineering best practices Collaborate closely with Data Science and Product teams to deliver robust data solutions Build and maintain automated data workflows and cloud infrastructure on AWS (S3, Glue, EKS) Evaluate new technologies and tools to improve scalability, reliability, and maintainability of data systems Required Skills Strong command of relational databases (Postgres) and advanced SQL with query performance tuning experience Extensive experience building ETL pipelines using Apache Spark and orchestrating workflows with Apache Airflow Deep knowledge of AWS data and compute servic

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