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 mission Are 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.
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📌 Data Software Engineer (Madrid)
🏢 Wey Wey Web
📍 Madrid