Senior Data Engineer Senior Data Engineer

Location: Buenos Aires, Argentina; hybrid with onsite work at the client's CABA office 3 times per week

Company

Avenga is an international engineering firm with 6,000+ experts helping businesses operate with AI at the core across industries, technologies, and markets.

What you will do

• Design secure, scalable, and governed data access architectures for applications, APIs, AI agents, and MCP-based solutions.
• Define reusable access patterns using Data Services, APIs, SQL, functions, and MCP frameworks.
• Implement authentication, authorization, identity and permission propagation, traceability, auditing, data masking, and security controls.
• Design and maintain Data Products and Data Services with clear contracts, ownership, and versioning.
• Integrate Databricks with AI models, agents, APIs, and internal or external systems.
• Collaborate with Architecture, Security, Governance, Development, and AI teams to establish enterprise Data-to-AI standards.

Requirements

• Bachelor's degree in Engineering, Information Technology, Computer Science, Systems Engineering, or a related field.
• At least 5 years of experience in data platform architecture, data engineering, or distributed services integration.
• Strong hands-on experience with Databricks and Unity Catalog.
• Experience designing and implementing APIs and services using OAuth2, OIDC, JWT, and service-oriented architecture principles.
• Practical knowledge of Generative AI architectures, AI agents, LLMs, tool/function calling, and MCP protocols.
• Strong understanding of data architecture, systems integration, security, AI-driven solutions, governance, traceability, and least-privilege access.
• API-first mindset with experience designing reusable data products and services.
• Ability to translate business requirements into scalable technical solutions and reusable capabilities.
• Strong communication skills and experience collaborating across cross-functional teams.

Nice to have

• Experience with AI services within the Databricks ecosystem.
• Experience in API management and enterprise data governance initiatives.
• Background in banking, financial services, or other highly regulated industries.
• Experience implementing data masking, auditing, and governance controls.
• Knowledge of modern cloud-native architectures and AI platform integrations.

Culture & Benefits

• Respectful, inclusive environment with equal opportunities regardless of personal characteristics.
• Collaboration with multidisciplinary Architecture, Security, Governance, Development, and AI specialists.
• Hybrid arrangement with required onsite attendance at the client's CABA office three times per week.

Hiring process

• Submit a CV describing core skills and career goals.
• Complete a talent call, technical interview, and, where applicable, a customer interview.