pul /brliEmburse data engineers develop the data pipelines and systems in the central platform empowering Emburse's SaaS products /li /brliAs 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 /li /brliThe 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 /li /brliEmburse, known for its innovation and award-winning technologies employ modern technologies including Snowflake, Data Bricks/Spark, AWS and Looker /li /brliIn this role you will have access to the best and brightest minds in our industry to grow your experience and career within Emburse /li /brliSDLC processes are followed, including adopting agile-based processes/meetings, peer code-reviews, and technical preparations required for scheduled releases /li /brliUnderstands product roadmap and how one contributes to the overall objectives /li /brliCapable at prioritizing tasks /li /brliEstimates their own work /li /brliLearns and applies secure software development practices, reviews code for vulnerabilities and raises awareness of secure programming practices /li /brliOptimizes processes, fixes bugs of moderate complexity and demonstrates proficient debugging skills /li /brliReviews code for team members,



providing in-depth comments /li /brliDevelops new features or enhancements with minimal supervision /li /brliDelivers medium level refactoring /li /brliImplements unit testing and integration testing where needed /li /brliProduces quality technical documentation /li /brliMakes technical documentation/knowledge base contributions and technical team presentations /li /brliGives constructive feedback to team members /li /brliUnderstanding of industry jargon and business concepts /li /brliRaises roadblocks and updates estimations as needed /li /br /ul /br /brh3Benefits /h3 /brul /brliFlexible spending accounts /li /brliGenerous paid time off for every employee and adaptable work schedules /li /brliPaid leave for new parents /li /brliVolunteering opportunities /li /brliHealth savings accounts (HSA) /li /brliMedical, dental, vision, disability and life insurance plans /li /brliGenerous match to pre- or post-tax retirement savings accounts /li /brliFinancial planning services /li /brliProgram in partnership with eCornell to grow their knowledge and their careers /li /brliDelicious supply of snacks and beverages /li /brliQuarterly outings and Friday get-togethers to build a strong community at work /li /br /ul /br /brh3Key Responsibilities /h3 /brul /brliBuilds analytical tools to utilize, model and visualize data /li /brli4+ years of data engineering experience related to data acquisition, data pipeline or analytics systems /li /brliDevelops scripts to automate manual processes, address data quality, enable integration or monitor processes /li /brliUnderstanding of OWASP /li /brliAbility to read and understand existing code and offer recommendations for improvement /li /brliDevelops 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 sources /li /brliUnderstands testing and integration testing techniques /li /brliSelf-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 /li /brliUnderstands relational databases, columnar databases, development frameworks, and commonly used industry libraries /li /brliCan interpret ad-hoc requests for data and translate these into the applicable data operations /li /br /ul /br /brh3Requirements /h3 /brul /brliBachelor's degree in Computer Science or related field, or equivalent years’ experience /li /brliExperience with Python in a full SDLC/production deployment environment /li /brliExperience working in a product-oriented environment alongside software engineers and product managers /li /brliExperience working with a modern data pipeline or data workflow management tool /li /brliAdvanced working SQL knowledge and moderate experience working with relational or columnar databases /li /br /ul /br /brh3Preferred /h3 /brul /brliExperience with AWS services /li /brliExperience working with Snowflake /li /brliExperience working with Looker or an equivalent Business Intelligence suite /li /brliExperience working with Fivetran or an equivalent ETL/ELT suite /li /brliExperience with Databricks or an equivalent Spark-based suite /li /brliFinancial Industry experience preferred /li /brliExperience working with semantic data modeling for AI optimization /li /brliExperience working with a modern scalable data lake or data warehouses /li /br /ul /p #J-18808-Ljbffr

📌 Data Engineer (Barcelona)
🏢 Emburse
📍 Barcelona