Who We Are

At Emburse, you’ll not just imagine the future – you’ll build it. As a leader in travel and expense solutions, 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.Who We Are

At Emburse, you’ll not just imagine the future – you’ll build it. As a leader in travel and expense solutions, 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.Summary/Objective

Emburse data engineers develop the data pipelines and systems in the central platform empowering Emburse’s SaaS products. As a data engineer, you will build the pipelines that populate the data warehouse and data lakes, implement tenant data security, support the data science platforms and techniques, and integrate AI data solutions and APIs with Emburse products and analytics. The role is based within the Emburse Platform analytics team, a fast moving and product-focused team responsible for delivering next generation business intelligence and data science capabilities across the business. Emburse, known for its innovation and award-winning technologies employ modern technologies including Snowflake, Data Bricks/Spark, AWS and Looker. In this role you will have access to the best and brightest minds in our industry to grow your experience and career within Emburse.Technical

4+ years of data engineering experience related to data acquisition, data pipeline or analytics systemsSelf-sufficient in at least one large area of the data acquisition, data pipeline, analytics codebase, semantic views and an understanding of how a handful of key sub-systems interoperateDevelops code (e.g. python, Java or .net, or with specialized ETL tools) for the extraction, transformation, and loading of data from a variety of data sourcesBuilds analytical tools to utilize, model and visualize dataCan interpret ad-hoc requests for data and translate these into the applicable data operationsDevelops scripts to automate manual processes, address data quality,



enable integration or monitor processesUnderstands relational databases, columnar databases, development frameworks, and commonly used industry libraries.Understands testing and integration testing techniquesAbility to read and understand existing code and offer recommendations for improvementUnderstanding of OWASPProcess

SDLC processes are followed, including adopting agile-based processes/meetings, peer code-reviews, and technical preparations required for scheduled releases.Understands product roadmap and how one contributes to the overall objectivesCapable at prioritizing tasksEstimates their own workLearns and applies secure software development practices, reviews code for vulnerabilities and raises awareness of secure programming practicesImpact

Optimizes processes, fixes bugs of moderate complexity and demonstrates proficient debugging skillsReviews code for team members, providing in-depth commentsDevelops new features or enhancements with minimal supervisionDelivers medium level refactoringImplements unit testing and integration testing where neededProduces quality technical documentationMakes technical documentation/knowledge base contributions and technical team presentationsCommunication

Gives constructive feedback to team membersUnderstanding of industry jargon and business conceptsRaises roadblocks and updates estimations as neededEducation

Required: Bachelor’s degree in Computer Science or related field, or equivalent years’ experienceExperience





Advanced working SQL knowledge and moderate experience working with relational or columnar databasesExperience working with a modern scalable data lake or data warehousesExperience working with a modern data pipeline or data workflow management toolExperience working with semantic data modeling for AI optimizationExperience working in a product-oriented environment alongside software engineers and product managersExperience with Python in a full SDLC/production deployment environmentPreferred: Experience with AWS services, Experience working with Snowflake, Experience working with Looker or an equivalent Business Intelligence suite, Experience working with Fivetran or an equivalent ETL/ELT suite, Experience with Databricks or an equivalent Spark-based suite, Financial Industry experience preferredWhy 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, adaptable 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.

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.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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📌 Data Engineer III (Madrid)
🏢 Emburse
📍 Madrid