Who We Are
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.
Your mission
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.
What You Will Do
- Build the services that orchestrate and expose ingestion, transformation and data‑quality capabilities as a service to other teams.
- Develop ingestion and connector‑based integration capabilities using Kafka and Kafka Connect.
- Integrate and orchestrate distributed processing engines (e.g. Apache Spark, Flink or Beam) behind clean service APIs, abstracting the underlying execution.
- Implement comprehensive monitoring and alerting to track service health, data quality and resource utilisation.
- Investigate and support production issues, helping to improve reliability and reduce recurring operational pain.
- Support performance‑tuning initiatives and find new ways to increase efficiency and throughput.
- Use approved AI‑assisted engineering tools responsibly to support development, testing, documentation and troubleshooting.
- Direct AI coding agents as part of everyday delivery — providing clear context, reviewing output critically, and owning the quality, security and design of what ships.
- Work 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.
- Follow best practices across design, coding, testing, operations and monitoring, and give and receive constructive feedback through code reviews.
- Collaborate, peer review, cross‑skill and share expertise with other team members.
- Contribute to continuous improvement, suggesting and implementing enhancements to optimise the SDLC.
- Stay current with advancements in software, data and streaming technologies, exploring new tools and techniques.
- Design, develop, test, deploy, maintain and support the platform services and capabilities of our data platform.
What You’ll Bring
- Solid software‑engineering fundamentals: Object‑Oriented Programming, strong back‑end skills (e.g. multithreading, OOP) and relevant experience in Java and/or Python.
- Expertise in crafting, evaluating, rolling out, maintaining and evolving software solutions and services.
- Experience working with high‑velocity, high‑volume data across relational, semi‑structured and unstructured formats.
- Expertise with data ingestion using Kafka and Kafka Connect.
- Hands‑on experience with at least one stream/batch processing technology — Apache Spark, Flink or Beam (Confluent Platform a plus).
- Strong SQL skills, including query writing and database tuning, with experience in relational and/or NoSQL database systems.
- Understanding of data modelling, architecture and how other systems work.
- An agile approach to development and a CI/CD mindset, with understanding of CI/CD tooling.
- A pursuit of quality through comprehensive unit and integration testing.
- A pragmatic approach to building software that is reliable, observable and maintainable in production.
- Familiarity 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.
- Problem‑solving skills, willingness to take ownership, and enthusiasm in the face of technical challenges.
- A collaborative, respectful attitude and good communication with different stakeholders.
- Good communication skills in English, both written and spoken.
- Bachelor’s degree in Computer Science or a related field.
Nice to have
- Experience defining and monitoring data quality standards, metrics and KPIs.
- Experience with Kubernetes, Docker and ArgoCD.
- Knowledge of Apache Iceberg.
- Knowledge of Exasol.
- Scripting languages such as Shell scripting.
- Experience building platform or “as‑a‑service” capabilities for other engineering teams.
What's In It For You (Spain)
- Private life and health insurance for you and your family.
- Pension plan.
- Gym reimbursement.
- Four weeks per year to work from anywhere for eligible employees.
- Learning Pocket for personal development.
- A hybrid working model with flexible hours.
- 3 volunteering paid days each year.
- Generous referral programme.
- Workplace 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.
- 25 days of annual leave.