Responsibilities

• As Data Engineer you will be designing, developing, and implementing efficient and scalable data pipelines, ensuring reliable extraction, transformation, and loading of data from multiple sources into data platforms using tools such as Azure Data Factory;  
• You will be building and maintaining modern data infrastructure, including storage layers, databases, processing environments, and monitoring solutions based on Microsoft Azure services;  
• You will be working with Azure Databricks and related platforms, supporting data processing, analytics, machine learning, and credit scoring use cases;  
• You will be optimizing the performance of data platforms, identifying bottlenecks and fine-tuning processes to ensure stability, scalability, and efficiency;  
• You will be supporting implementation of data security, compliance, and governance practices, ensuring data confidentiality, integrity, and availability;   
• You will be collaborating with data science, analytics, product, and engineering teams, translating data requirements into scalable and reliable technical solutions;  
• You will be supporting data workflows related to credit scoring, fraud detection, risk analytics, lending, and other fintech use cases; 
• You will be researching and evaluating new data engineering tools and technologies, recommending improvements to enhance performance and maintainability; 
•  You will be creating and maintaining technical documentation including architecture diagrams, data flows, and pipeline configurations, ensuring clarity and knowledge sharing. 

Requirements

• 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; 
• Experience with Microsoft Azure cloud services, enabling development and management of cloud-based data solutions;  
• Fluent Spanish language skills, enabling effective communication in international environments; 
• 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. 

Nice to have

• Experience in fintech banking lending credit scoring fraud detection risk analytics or financial services, enabling domain understanding of financial data; 
• Experience working with machine learning or data science teams, enabling support for advanced analytics use cases; 
• Experience with production-grade data platforms and cloud infrastructure, enabling work in enterprise environments; 
• Knowledge of data governance data quality security and compliance practices, enabling proper data management standards; 
• Experience with monitoring performance tuning and optimization of data pipelines or cloud platforms, enabling improved system efficiency; 
• Certifications in data analytics big data cloud platforms or Microsoft Azure, demonstrating validated expertise. 

We offer

• Salary for work amounting to 120,000 – 150,000 PHP; 
• ₱3,600 monthly de minimis non-taxable allowance; 
• HMO coverage from day 1 for you and 1 dependent; 
• Equipment provided; 
• Optical coverage; 
• Year-end leave monetization; 
• Gym subscription; 
• Monthly supply of coffee! 

Please be advised that we will only contact selected candidates