Designing, developing, and implementing efficient and scalable data pipelines
Building and maintaining modern data infrastructure, including storage layers, databases, processing environments, and monitoring solutions based on Microsoft Azure services
Working with Azure Databricks and related platforms, supporting data processing, analytics, machine learning, and credit scoring use cases
Optimizing the performance of data platforms, identifying bottlenecks and fine-tuning processes to ensure stability, scalability, and efficiency
Supporting implementation of data security, compliance, and governance practices, ensuring data confidentiality, integrity, and availability
Collaborating with data science, analytics, product, and engineering teams, translating data requirements into scalable and reliable technical solutions
Supporting data workflows related to credit scoring, fraud detection, risk analytics, lending, and other fintech use cases
Researching and evaluating new data engineering tools and technologies, recommending improvements to enhance performance and maintainability
Creating and maintaining technical documentation including architecture diagrams, data flows, and pipeline configurations, ensuring clarity and knowledge sharing.

3+ years of experience as a Data Engineer, Azure Data Engineer, Data Platform Engineer or similar role, ensuring strong hands-on expertise in data engineering
Willingness to work in night shifts
Necessary condition
Fluent Spanish language skills, enabling effective communication in international environments
Experience with Microsoft Azure cloud services, enabling development and management of cloud-based data solutions
Experience with tools such as Azure Data Factory, Azure Databricks, Azure Data Lake Storage or Azure SQL Database, enabling end-to-end data processing
Experience designing, developing and maintaining ETL or ELT workflows and scalable data pipelines, ensuring reliable data processing
Experience with Python for data processing automation and transformations, enabling flexible and efficient data handling
Knowledge of data architecture, data modeling and cloud solution design principles, enabling scalable and maintainable systems
Experience with databases, data warehouses, data lakes or distributed data environments, enabling work with complex data ecosystems
Ability to deploy, configure, monitor or support Azure-based data resources, enabling operational support of data platforms
Ability to collaborate with data science, analytics, engineering and business teams, ensuring alignment and effective delivery.

Data Engineer, Spanish Speaker

Key skills