Data Software Engineer

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.

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 Dev Ops 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.

• 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 Dev Ops 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.

• 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 No
  
  SQL 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…