Data Engineer (Databricks, Python, Spark)

Experteer Overview In this Data Engineer role within Investment Management, you will design and maintain a cloud-based data hub and pipelines that enable large-scale analytics for investment teams.You’ll work with a global, collaborative group and continuously learn to apply the latest data engineering and AI concepts.Your contributions will unlock value from financial data sources like Bloomberg and support cross-functional investment stakeholders.This is a hands-on, growth-oriented opportunity to shape a key platform in a tech-driven environment.Compensaciones / Beneficios * Design, develop, enhance, and maintain complex data pipelines for business-critical operations and analytics * Support internal Investment Management clients and address their needs * Improve platform capabilities and influence technology choices and standards * Stay current with evolving data engineering and AI technologies and share knowledge with the team * Collaborate with experts across domains to deliver real-world data solutions * Contribute to a culture of continuous learning and creative input Responsabilidades * 3+ years of Data Engineering experience with 2+ years designing and building Databricks data pipelines * Azure cloud experience preferred (AWS/GCP also considered) * 2+ years Python/PySpark/SparkSQL and/or Scala * 2+ years Big Data pipelines or DAG tools (Data Factory, Airflow, dbt) * 2+ years Spark experience (Databricks Spark and Delta Lake) * 2+ years implementing Big Data solutions in a cloud ecosystem (Data/Delta Lakes) * 2+ years SQL with complex queries * Experience with GitHub and CI/CD pipelines (desirable) * Experience with financial data providers such as Bloomberg (desirable) * Experience with AI/LLMs, Databricks Genie or similar tools * Proficiency in English * Positive attitude and can-do mentality Requisitos principales * flexible working model * home office setup allowance * training (languages) * health insurance * life and accident insurance * stock options

Compensaciones / Beneficios * Design, develop, enhance, and maintain complex data pipelines for business-critical operations and analytics * Support internal Investment Management clients and address their needs * Improve platform capabilities and influence technology choices and standards * Stay current with evolving data engineering and AI technologies and share knowledge with the team * Collaborate with experts across domains to deliver real-world data solutions * Contribute to a culture of continuous learning and creative input Responsabilidades * 3+ years of Data Engineering experience with 2+ years designing and building Databricks data pipelines * Azure cloud experience preferred (AWS/GCP also considered) * 2+ years Python/PySpark/SparkSQL and/or Scala * 2+ years Big Data pipelines or DAG tools (Data Factory, Airflow, dbt) * 2+ years Spark experience (Databricks Spark and Delta Lake) * 2+ years implementing Big Data solutions in a cloud ecosystem (Data/Delta Lakes) * 2+ years SQL with complex queries * Experience with GitHub and CI/CD pipelines (desirable) * Experience with financial data providers such as Bloomberg (desirable) * Experience with AI/LLMs, Databricks Genie or similar tools * Proficiency in English * Positive attitude and can-do mentality Requisitos principales * flexible working model * home office setup allowance * training (languages) * health insurance * life and accident insurance * stock options