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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer (Urgent) - **Company:** Emburse - **Location:** Barcelona, Spain - **Contract:** Permanent contract - **Skills:** Java (Programming Language), .NET Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Data Analysis, Unit Testing, Software as a Service, Databases, Information Engineering, Extract Transform Load (ETL), Data Security, Data Systems, Data Warehousing, Relational Databases, Software Debugging, Python (Programming Language), Systems Development Life Cycle, Standard Sql, Software Deployment, Web Analytics, Snowflake, Apache Spark, Data Lakes, Integration Tests, Information Technology, Looker Analytics, Data Pipelines, Databricks - **Published:** September 27, 2026 - **Apply:** https://www.buscojobs.com.es/data-engineer-urgent-en-barcelona-ID-373585221 ## About the Role Emburse, known for its innovation and award-winning technologies employ modern technologies including Snowflake, Data Bricks/Spark, AWS and Looker. Essential FunctionsTechnical4+ 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 interoperate Develops 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 data Can 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 OWASPProcessSDLC 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 practicesImpactOptimizes 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 refactoring Implements unit testing and integration testing where neededProduces quality technical documentationMakes technical documentation/knowledge base contributions and technical team presentationsCommunicationGives constructive feedback to team membersUnderstanding of industry jargon and business conceptsRaises roadblocks and updates estimations as neededEducation: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 databases Experience 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 ## Description BarcelonaR&D - Engineering/Prod Dev /Full-Time /On-siteWho We Are: 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.Summary/ObjectiveEmburse 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.Essential FunctionsTechnical4+ 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 interoperate Develops 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 data Can 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 OWASPProcessSDLC 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 practicesImpactOptimizes 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 refactoring Implements unit testing and integration testing where neededProduces quality technical documentationMakes technical documentation/knowledge base contributions and technical team presentationsCommunicationGives constructive feedback to team membersUnderstanding of industry jargon and business conceptsRaises roadblocks and updates estimations as neededEducation: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 databases Experience 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?A Culture That Empowers - Competitive pay, flexible work, and an inclusive, collaborative environment thatsupports your success.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.If you would like more information about how your data is processed, please contact us. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - 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