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Data Software Engineer

J On The Beach·Salary not specified

Primary stack

JavaPythonKafkaKafka ConnectApache SparkSQLNoSQLDevOpsCI/CDUnit Testing

Nice to have's

KubernetesDockerApache IcebergArgoCDPowerShell

Job description

About the Position

Data Software Engineer

Madrid, Spain


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 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.

Responsibilities

  • 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 utilization.
  • 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 optimize 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.

Requirements

  • 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 modeling, 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.

We Offer

  • 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 flexible 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.
  • 25 days of annual leave.

About the Company

At The Workshop, 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.


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