SSR Data Engineer

Responsibilities

• Design, develop, and automate Big Data processes using Spark and Scala.
• Build and maintain ETL pipelines and data models for Market Risk use cases.
• Perform data testing, validation, and quality controls to ensure reliable outputs.
• Work closely with other Big Data engineers on shared frameworks and common tasks.
• Collaborate with risk and technical teams in an international environment.
• Contribute to continuous improvement of Big Data workflows and standards.
• Required:
• 3-5 years of experience in technology projects involving Big Data or data engineering.
• Hands-on experience designing ETL processes and data models.
• Strong experience with Spark and Scala.
• Solid knowledge of Hadoop ecosystems.
• Advanced SQL skills.
• Experience in data testing and validation.
• Basic Shell scripting knowledge.
• English level B2/C1 (working proficiency).

Requirements

• Experience with Azure Databricks.
• Background in banking, specifically Market Risk.
• Knowledge of Airflow or similar workflow/pipeline managers.
• What do we offer you?
• Hybrid position based in Málaga, Spain
• Perks and Benfits such as private medical insurance , life insurance, language lesson, flexible remuneration,Smart Office Pack so that you can work comfortably from home
• Permanent, full-time contract.
• Training and career development.
• Possibility to be part of a multicultural team and work on international projects.
• If you are passionate about data, development & tech, we want to meet you !

Benefits

Additional Information

About the project You will join a Market Risk environment within a large financial organization, working on the definition, automation, and evolution of Big Data processes. The project focuses on data-intensive pipelines used for risk calculation and analytics, leveraging distributed technologies and strong data quality standards. You will be part of a Big Data team handling shared platforms and common data challenges across the area.

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Company Intel

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