ppbWho We Are /bbr/We build game‑changing products and scalable platforms for complex, high‑volume digital markets. Our cross‑functional teams create online platforms as well as software solutions that reach hundreds of thousands of users daily. /p pbYour mission /bbr/Are you ready to push technology into the future as a Data Software Engineer with The Workshop? We’re looking for skilled, versatile and collaborative engineers with excellent design and problem‑solving skills. If you have expertise in high‑performance applications and you’re ready to tackle challenges across the stack, we want to hear from you. In this role you’ll bring strong software engineering fundamentals to building the services and capabilities of our data platform — designing and developing the systems that orchestrate, configure and expose ingestion, transformation and data‑quality capabilities as a service, with a full DevOps mindset. We are looking for someone who is comfortable building software for production: delivering new functionality and ensuring it is reliable, monitored, maintainable and easy to support. /p pbWhat You Will Do /b /p ul liBuild the services that orchestrate and expose ingestion, transformation and data‑quality capabilities as a service to other teams. /li liDevelop ingestion and connector‑based integration capabilities using Kafka and Kafka Connect. /li liIntegrate and orchestrate distributed processing engines (e.g. Apache Spark, Flink or Beam) behind clean service APIs, abstracting the underlying execution. /li liImplement comprehensive monitoring and alerting to track service health, data quality and resource utilisation. /li liInvestigate and support production issues, helping to improve reliability and reduce recurring operational pain. /li liSupport performance‑tuning initiatives and find new ways to increase efficiency and throughput. /li liUse approved AI‑assisted engineering tools responsibly to support development, testing, documentation and troubleshooting.



/li liDirect AI coding agents as part of everyday delivery — providing clear context, reviewing output critically, and owning the quality, security and design of what ships. /li liWork in a team of engineers and product owners using agile methodologies, owning your work end‑to‑end under a DevOps philosophy across the full SDLC. /li liFollow best practices across design, coding, testing, operations and monitoring, and give and receive constructive feedback through code reviews. /li liCollaborate, peer review, cross‑skill and share expertise with other team members. /li liContribute to continuous improvement, suggesting and implementing enhancements to optimise the SDLC. /li liStay current with advancements in software, data and streaming technologies, exploring new tools and techniques. /li liDesign, develop, test, deploy, maintain and support the platform services and capabilities of our data platform. /li /ul pbWhat You’ll Bring /b /p ul liSolid software‑engineering fundamentals: Object‑Oriented Programming, strong back‑end skills (e.g. multithreading, OOP) and relevant experience in Java and/or Python. /li liExpertise in crafting, evaluating, rolling out, maintaining and evolving software solutions and services. /li liExperience working with high‑velocity, high‑volume data across relational, semi‑structured and unstructured formats. /li liExpertise with data ingestion using Kafka and Kafka Connect. /li liHands‑on experience with at least one stream/batch processing technology — Apache Spark, Flink or Beam (Confluent Platform a plus). /li liStrong SQL skills, including query writing and database tuning, with experience in relational and/or NoSQL database systems.



/li liUnderstanding of data modelling, architecture and how other systems work. /li liAn agile approach to development and a CI/CD mindset, with understanding of CI/CD tooling. /li liA pursuit of quality through comprehensive unit and integration testing. /li liA pragmatic approach to building software that is reliable, observable and maintainable in production. /li liFamiliarity with AI‑generated code and how to assess it — applying the same considerations of testing, readability and architectural fit as any other contribution, and an awareness of when AI assistance adds value across the SDLC. /li liProblem‑solving skills, willingness to take ownership, and enthusiasm in the face of technical challenges. /li liA collaborative, respectful attitude and good communication with different stakeholders. /li liGood communication skills in English, both written and spoken. /li liBachelor’s degree in Computer Science or a related field. /li /ul pbNice to have /b /p ul liExperience defining and monitoring data quality standards, metrics and KPIs. /li liExperience with Kubernetes, Docker and ArgoCD. /li liKnowledge of Apache Iceberg. /li liKnowledge of Exasol. /li liScripting languages such as Shell scripting. /li liExperience building platform or “as‑a‑service” capabilities for other engineering teams. /li /ul pbWhat's In It For You (Spain) /b /p ul liPrivate life and health insurance for you and your family. /li liPension plan. /li liGym reimbursement. /li liFour weeks per year to work from anywhere for eligible employees. /li liLearning Pocket for personal development. /li liA hybrid working model with versátil hours. /li li3 volunteering paid days each year. /li liGenerous referral programme. /li liWorkplace perks such as gaming room with darts, pool, ping pong table, foosball, consoles and much more! We also enjoy massages and a kitchen stocked with coffee, fruits, nuts and ice cream. /li li25 days of annual leave. /li /ul /p #J-18808-Ljbffr

📌 Data Software Engineer (Madrid)
🏢 The Workshop
📍 Madrid