Senior Data Engineer supporting AI - enabled financial compliance initiative with data pipelines and ingestion processes. Collaborating with diverse teams in a mission - critical regulated environment.
About the role
- Data Engineer supporting a fintech company in building and maintaining data pipelines. Collaborating with tech teams and enhancing data processing in a high-volume environment.
Responsibilities
- Construir, mantener y mejorar pipelines de datos batch y en tiempo real (ETL/ELT), trabajando sobre arquitecturas existentes.
- Integrar fuentes de datos internas y externas (core, scoring, antifraude, CRM, entre otras).
- Operar y dar soporte al Data Lake / Data Warehouse regional.
- Implementar controles básicos de calidad de datos y validaciones operativas, siguiendo lineamientos definidos.
- Monitorear pipelines y colaborar en la resolución de incidentes y errores de datos.
- Colaborar en tareas de optimización de performance y uso de recursos en entornos cloud.
- Asegurar la correcta disponibilidad del dato para su consumo por equipos de BI, Analytics y modelos de riesgo/ML.
- Cumplir con políticas de seguridad y buenas prácticas de tratamiento de datos.
- Trabajar de forma colaborativa con otros ingenieros y áreas de negocio en requerimientos de datos.
Requirements
- Formación en Ingeniería, Computación, Ciencia de Datos o carreras afines.
- 3 o más años de experiencia en roles de Data Engineering o similares.
- Buen manejo de Python y SQL para procesamiento de datos.
- Experiencia práctica utilizando herramientas de procesamiento u orquestación como Spark, Airflow u opciones equivalentes.
- Experiencia trabajando con al menos un proveedor cloud (AWS, GCP o Azure).
- Conocimiento de bases de datos relacionales y no relacionales.
- Experiencia previa en fintech o entornos de alto volumen transaccional (deseable).
Benefits
- Modalidad: Presencial en CDMX los primeros 3 meses, luego híbrido.
- Ubicación: Ciudad de México.
- Jornada: Full-time.
- Tipo de contratación: Direct Hire.
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Data Architect leading the definition and construction of cloud data architecture for Kyndryl. Participating in significant technological modernization initiatives, focusing on Google Cloud Platform.
Senior Data Engineer driving data intelligence requirements and scalable data solutions for a global consulting firm. Collaborating across functions to enhance Microsoft architecture and analytics capabilities.
Experienced AI Engineer designing and building production - grade agentic AI systems using generative AI and large language models. Collaborating with data engineers, data scientists in a tech - driven company.
Intermediate Data Engineer designing and building data pipelines for travel industry data management. Collaborating across teams to ensure reliable data for analytics and reporting.
Data Engineer managing and organizing datasets for AI models at Walaris, developing AI - driven autonomous systems for defense and security applications.
Data Engineer designing and maintaining data pipelines at Black Semiconductor. Collaborating with process, equipment, and IT teams to support manufacturing analytics and decision - making.
Junior Data Engineer role focusing on Business Intelligence and Big Data at Avanade. Collaborating on data analysis and SQL queries in a supportive learning environment.
GCP Data Engineer designing and developing data processing modules for Ki, an algorithmic insurance carrier. Working closely with multiple teams to optimize data pipelines and reporting.
Data Engineer at Securian Financial optimizing scalable data pipelines for AI and advanced analytics. Collaborating with teams to deliver secure and accessible data solutions.