Join a collaborative engineering team building data-driven platforms that power analytics, measurement, and activation for retail media initiatives. This hybrid role combines data engineering and backend development, giving you the opportunity to work across Google Cloud Platform and Java/Spring services in a fast-moving environment.

Responsibilities

• Build, maintain, and improve data pipelines on Google Cloud Platform to ingest, transform, and publish datasets used for analytics and measurement
• Develop and support workflow orchestration using Apache Airflow, including scheduling, dependencies, retries, and monitoring
• Create scalable batch and streaming data transformations with Google Cloud Dataflow and Apache Beam
• Design, model, and optimize datasets in BigQuery with attention to performance, reliability, and cost efficiency
• Partner with analytics, product, and downstream users to ensure data is accurate, well-documented, and trusted
• Design and build RESTful APIs using Java and Spring / Spring Boot to support data products and platform capabilities
• Write clean, testable code and contribute to strong operational practices, including monitoring and incident response
• Participate in code reviews, collaborative development, and Agile delivery practices

Skills

• 2–5+ years of software engineering experience or equivalent practical experience
• Hands-on experience with BigQuery, including schema design, SQL, and query performance optimization
• Experience using Airflow and/or Dataflow to build and manage data pipelines
• Strong Java development skills with experience in Spring or Spring Boot
• Experience building REST APIs with a focus on maintainability, reliability, and performance
• Solid understanding of data structures, API integration patterns, and software testing
• Comfort working in production environments and supporting operational excellence
• Strong communication skills and the ability to balance data quality, latency, cost, and reliability

Preferred Skills

• Experience with Apache Beam, especially in a Dataflow environment
• Exposure to CI/CD tools such as GitHub Actions or Jenkins
• Familiarity with containerization and infrastructure as code, such as Terraform
• Experience with logging, metrics, tracing, or other observability tools
• Background in retail, ad tech, or measurement and attribution domains

Horizontal is committed to building an inclusive workplace where diverse perspectives are valued and every team member can do their best work. We encourage candidates from all backgrounds to apply and join a culture grounded in equity, respect, and collaboration.