Big Data Developer

• Design, develop and maintain data lake pipelines using Apache Spark, Scala and SQL
• Build and maintain scalable data processing solutions for large volumes of data
• Orchestrate batch workflows and dependencies using tools such as Control-M and Airflow
• Implement data ingestion, transformation, validation and publication processes for Market Risk use cases
• Analyse and optimise the performance, reliability and scalability of Spark-based workloads
• Analyse technical and functional requirements, identify gaps and propose effective solutions
• Contribute to delivery planning and collaborate with different teams to ensure successful implementation
• Support production incidents, perform root-cause analysis and contribute to continuous improvement of operational processes
• Work closely with Agile squads, functional teams and production support teams to deliver high-quality solutions and business value
• Follow software engineering and data development best practices to ensure robust, maintainable and production-ready solutions

• 2+ years of professional experience in Big Data, Data Lakes or cloud-based data platforms
• Strong hands-on experience with Apache Spark, Scala and SQL for large-scale data processing
• Good understanding of Data Lake architecture, data quality controls, data lineage and production-grade data pipelines
• Strong analytical and problem-solving skills
• Excellent communication and teamwork skills, with the ability to collaborate effectively with technical and functional stakeholders
• Adaptability and a proactive approach to solving technical challenges
• English: C1 level or equivalent professional fluency
• Spanish is considered a plus
• Experience with workflow orchestration and scheduling tools, particularly Control-M and Airflow, highly valued
• Experience with Databricks and cloud technologies such as Azure and AWS highly valued
• Experience with YARN and cloud-based compute environments highly valued
• Experience with CI/CD and software engineering practices, including GitHub, Jenkins and SonarQube, highly valued
• Experience with banking production environments, operational monitoring and incident management tools such as ServiceNow highly valued
• Knowledge of Market Risk processes, including P&L, valuations, risk metrics and regulatory reporting data flows highly valued

• 100% Remote set up
• Training and career development
• Possibility to be part of a multicultural team and work on international projects