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Senior Data Engineer
Emburse, Barcelona
What you will do
- Software Engineering
- Architects, deploys, and maintains production-grade Python microservices, serverless components (AWS Lambda), batch workers, web services, and shared core libraries across the analytics ecosystem
- Engineers RESTful interfaces and application integrations to expose dataset capabilities to platform applications, encompassing secure object storage exchange, query orchestration, automated report delivery, and embedded analytics infrastructure
What you need
- Demonstrated background of at least six years architecting enterprise software solutions and big data platforms in operational environments.
- Required: Bachelor’s degree in Computer Science or related field, or equivalent years’ experience
- Advanced proficiency in Python engineering, spanning distributed microservices, internal modules, RESTful interface design, unit testing frameworks, and GitHub Actions release pipelines rather than ad-hoc scripting.
- Expert SQL query optimization, data modeling techniques, and extensive background delivering cloud warehouse architectures using Snowflake.
- Proven mastery deploying and orchestrating data processing flows in live production through Apache Airflow.
- Hands-on expertise utilizing Amazon Web Services ecosystems, including AWS Lambda, S3 storage, Glue jobs, IAM policies, Key Management/Secrets Manager, and EventBridge integration.
- Deep comprehension of multi-tenant security architecture—incorporating row-level access policies, fine-grained access governance, strict tenant isolation, and compliant handling of restricted financial assets across international cloud regions.
- Track record of effective cross-functional partnership in product-driven organizations alongside engineering peers and product managers.
Nice to have
- Snowflake advanced features: row access policies, secure views, dynamic tables, stored procedures, Cortex AI / Cortex Analyst, semantic views.
- Experience building LLM-powered or text-to-SQL features, or other GenAI applications in production.
- Spark (AWS Glue or Databricks).
- Fivetran or an equivalent ELT tool; Looker or an equivalent BI platform, including embedded analytics.
- Infrastructure as code and GitHub Actions.
- Experience with ML-assisted data matching or entity resolution.
- Financial, expense or travel industry experience.
Why Emburse?
Finance is changing—and at Emburse, we’re leading the way. Our AI-powered solutions help organizations eliminate inefficiencies, gain real-time visibility, and optimize spend—so they can focus on what’s next, not what’s slowing them down.
- A Company with Momentum – We serve 12M+ users across 120 countries, helping businesses modernize
their finance operations.
- A Team That Innovates – Work alongside some of the brightest minds in finance, tech, and AI to solve real-
world challenges.
- A Culture That Empowers – Competitive pay, flexible work, and an inclusive, collaborative environment that
supports your success.
- A Career That Matters – Your work here drives efficiency, innovation, and smarter financial decision-making
for businesses everywhere.
Shape your future & find what’s next at Emburse.
About Emburse
At Emburse, you’ll not just imagine the future – you’ll build it. As a leader in expense intelligence, we are creating a future where technology drives business value and inspires extraordinary results. Our AI-powered platform helps organizations modernize financial operations, increase visibility, and optimize spend across the enterprise.
Legal notes
Emburse provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Emburse complies with applicable state and local laws governing nondiscrimination in employment in every location where the company has facilities. This policy applies to all terms and conditions of employment.
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