We build game-changing products and scalable platforms for complex, high-volume digital markets.Our cross-functional teams create online platforms and software solutions that reach hundreds of thousands of users every day.Your missionAre you ready to push technology into the future as a Data Software Engineer at The Workshop?We’re looking for skilled, versatile and collaborative engineers with excellent design and problem-solving abilities. If you have experience developing high-performance applications and are ready to tackle challenges across the stack, we want to hear from you.In this role, you’ll apply strong software-engineering fundamentals to building the services and capabilities of our data platform. You’ll design and develop systems that orchestrate, configure and expose ingestion, transformation and data-quality capabilities as a service, following a complete DevOps approach.We’re looking for someone comfortable building production software: delivering new functionality while ensuring that everything built is reliable, observable, maintainable and easy to support.What you’ll do- Build services that orchestrate and expose ingestion, transformation and data-quality capabilities to other teams.- Develop ingestion and connector-based integration capabilities using Kafka and Kafka Connect.- Integrate and orchestrate distributed processing engines such as Apache Spark, Flink or Beam behind clean service APIs.- Abstract the underlying execution of data-processing technologies.- Implement comprehensive monitoring and alerting to track service health, data quality and resource utilisation.- Investigate and support production issues, improving reliability and reducing recurring operational problems.- Support performance-tuning initiatives and identify opportunities to increase efficiency and throughput.- Use approved AI-assisted engineering tools responsibly for development, testing,



documentation and troubleshooting.- Direct AI coding agents as part of everyday delivery by providing clear context, critically reviewing their output and taking responsibility for the quality, security and design of everything that ships.- Work with engineers and product owners using agile methodologies.- Take end-to-end ownership of your work under a DevOps philosophy covering the entire software development lifecycle.- Follow best practices in design, coding, testing, operations and monitoring.- Give and receive constructive feedback through code reviews.- Collaborate, perform peer reviews, share knowledge and develop skills across the team.- Suggest and implement improvements that optimise the software development lifecycle.- Keep up to date with developments in software, data and streaming technologies.- Design, develop, test, deploy, maintain and support the services and capabilities of the data platform.What you’ll bring- Strong software-engineering fundamentals, including object-oriented programming, back-end development and multithreading.- Relevant experience with Java and/or Python.- Experience creating, evaluating, deploying, maintaining and evolving software solutions and services.- Experience working with high-velocity, high-volume data in relational, semi-structured and unstructured formats.- Expertise in data ingestion using Kafka and Kafka Connect.- Hands-on experience with at least one stream or batch-processing technology: Apache Spark, Flink or Beam.- Strong SQL skills,



including query writing and database performance tuning.- Experience working with relational and/or NoSQL database systems.- An understanding of data modelling, software architecture and how different systems interact.- An agile approach to development and a CI/CD mindset.- Experience with CI/CD tools.- A commitment to quality through comprehensive unit and integration testing.- A pragmatic approach to building reliable, observable and maintainable production software.- Familiarity with AI-generated code and the ability to assess its testing, readability and architectural fit.- An understanding of when AI assistance adds genuine value throughout the software development lifecycle.- Strong problem-solving skills, a willingness to take ownership and enthusiasm for technical challenges.- A collaborative and respectful attitude.- The ability to communicate effectively with different stakeholders.- Good written and spoken English.- A bachelor’s degree in Computer Science or a related discipline.Nice to have- Experience defining and monitoring data-quality standards, metrics and KPIs.- Experience with Kubernetes, Docker and Argo CD.- Knowledge of Apache Iceberg.- Knowledge of Exasol.- Experience with scripting languages such as Shell.- Experience with the Confluent Platform.- Experience building platform or “as-a-service” capabilities for other engineering teams.What’s in it for you- Private life and health insurance for you and your family.- Pension plan.- Gym reimbursement.- Up to four weeks per year working from anywhere for eligible employees.- A Learning Pocket for personal and professional development.- A hybrid working model with adaptable hours.- Three paid volunteering days each year.- A generous employee referral programme.- Workplace perks including a gaming room with darts, pool, table tennis, table football, consoles and much more.- Massages and a kitchen stocked with coffee, fruit, nuts and ice cream.#J-18808-Ljbffr

📌 Data Software Engineer (Madrid)
🏢 Wey Wey Web
📍 Madrid