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DATA SPECIALIST ASSOCIATE

BBVA · Spanish: C1 · Commercial & Retail Banks · Wealth Management & Financial Advisors · Bachelor's Degree · Python · SQL · ETL/ELT · 10 days ago
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Location
Hybrid (Caracas, Venezuela)
Seniority
Junior · 2+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 15, 2026. First seen by Alion on Nov 6, 2026. BBVA scores A on the Alion truth index.

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BBVA

BBVA (Banco Bilbao Vizcaya Argentaria) is a Spanish multinational banking group with its registered head office in Bilbao and corporate headquarters in Madrid, offering retail, business, corporate and investment banking, payments and asset management. It reports more than 160 years of history, operations in over 25 countries, more than 80 million customers and over 121,000 employees, with major franchises in Spain, Mexico, Turkey through Garanti BBVA, Colombia, Peru and Argentina. Its global careers board lists data scientists, software engineers and architects, risk and compliance analysts, corporate and investment banking staff, and branch and SME relationship roles.
bbva.com · HQ: Bilbao, Spain · Digital Banks & Neobanks · Investment Banking & M&A Advisory · Wealth Management & Financial Advisors · Commercial & Retail Banks · 5000+ employees · Est. 1857
Tech stack of BBVA
Backed by Irregular Expressions

¿Quieres desarrollar tu carrera profesional?

BBVA es una empresa global con más de 160 años de historia que opera en más de 25 países en los que damos servicio a más de 80 millones de clientes. Somos más de 121.000 profesionales que trabajamos en equipos multidisciplinares y de perfiles tan diversos como financieros, expertos jurídicos, científicos de datos, desarrolladores, ingenieros o diseñadores.

¡Únete a nuestro equipo!

¿Qué estamos buscando?

Esta posición admite la postulación de personas con discapacidad conforme a lo establecido en el artículo 32 de la Ley Orgánica para la Inclusión, Igualdad y Desarrollo Integral de las Personas con Discapacidad.

Profesional en Ingeniería o Licenciado de: Sistemas, Informática o carreras afines. Se valora formación complementaria o certificaciones en ingeniería de datos, analítica, visualización o servicios cloud de AWS.

  • Mínimo 2 años de experiencia en integración, transformación, explotación o análisis de datos, trabajando con volúmenes relevantes de información.
  • Experiencia práctica construyendo y automatizando consultas, procesos ETL/ELT, validaciones, reportes o productos de información mediante Python y SQL.
  • Experiencia en levantamiento de requerimientos con usuarios, validación funcional de entregables y atención de incidencias de datos.
  • Deseable experiencia en servicios financieros; no es un requisito excluyente si demuestra solidez técnica y entendimiento de finanzas.

Da el primer paso hacia un futuro brillante

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