Senior Data Engineer (AI)

Location: Barcelona, Spain; onsite

Company

hirify.global develops AI-powered expense intelligence solutions that help organizations modernize financial operations, improve visibility, and optimize enterprise spending.

What you will do

• Architect, deploy, and maintain production-grade Python microservices, AWS Lambda components, batch workers, web services, and shared libraries.
• Build RESTful interfaces and integrations for secure data exchange, query orchestration, report delivery, and embedded analytics.
• Develop backend infrastructure for AI analytics, including LLM and natural-language query translation, dialog state management, tenant isolation, and throughput optimization.
• Design and operate ingestion and transformation workflows with Airflow, AWS Glue, Spark, and Snowflake dynamic tables across lakehouse environments.
• Implement data cleansing, enrichment, governance, privacy, tenant purging, metadata-driven semantic layers, monitoring, alerting, and incident remediation.
• Drive architecture discussions, code reviews, documentation, technical coaching, and collaboration with product, analytics, and data science teams.

Requirements

• At least six years of experience architecting enterprise software solutions and big data platforms in operational environments.
• Bachelor’s degree in Computer Science or a related field, or equivalent experience.
• Advanced Python engineering experience with distributed microservices, RESTful interfaces, internal modules, unit testing, and GitHub Actions release pipelines.
• Expert SQL query optimization, data modeling, and extensive experience delivering cloud warehouse architectures with Snowflake.
• Proven experience deploying and orchestrating production data-processing flows with Apache Airflow.
• Hands-on AWS experience with Lambda, S3, Glue, IAM, Key Management or Secrets Manager, and EventBridge.
• Deep understanding of multi-tenant security architecture, including row-level policies, fine-grained access governance, tenant isolation, and compliant handling of restricted financial data across international cloud regions.
• Effective cross-functional collaboration in product-driven organizations with engineering teams and product managers.

Nice to have

• Advanced Snowflake features including row access policies, secure views, dynamic tables, stored procedures, Cortex AI or Cortex Analyst, and semantic views.
• Production experience with LLM-powered, text-to-SQL, or other generative AI applications.
• Experience with Spark through AWS Glue or Databricks.
• Experience with Fivetran or an equivalent ELT tool and Looker or an equivalent BI platform with embedded analytics.
• Infrastructure-as-code and GitHub Actions experience.
• Experience with ML-assisted data matching or entity resolution.
• Financial, expense, or travel industry experience.

Culture & Benefits

• Work on AI-powered finance technology serving more than 12 million users across 120 countries.
• Collaborate with specialists across finance, technology, and AI on real-world challenges.
• Competitive pay, flexible work, and an inclusive, collaborative environment.
• Equal employment opportunities are provided in accordance with applicable nondiscrimination laws.