[Hiring] Principal Data Platform Engineer @RWS Group

Role Description

As a Principal Data Platform Engineer at RWS, you will be the most senior technical authority on our data platform. You will architect and implement a scalable Google Cloud Platform (GCP) data platform, setting the engineering standards, patterns and guardrails that the wider Data Engineering team builds on. This is a hands-on role: you will write the Terraform, the pipelines and the automation that make the platform repeatable, secure and cost-effective at scale.

You'll own the platform end to end - from infrastructure as code and CI/CD through to the data pipelines running on top of it - and you'll push the boundaries of how we deliver, including leveraging AI agents to scale up pipeline delivery. Your work will directly enable our Analytics and AI teams to build the future of global language services. If you enjoy designing systems that other engineers depend on, you'll find a home here.

Qualifications

• Infrastructure Automation: Expert-level Terraform, with GitHub Actions or similar for automated build and deployment.
• Expert Cloud Architecture: Deep, predominantly GCP experience - BigQuery, Dataflow, Dataform, Cloud Composer and Pub/Sub.
• Cloud Security and Networking: Strong working knowledge of IAM, RBAC, VPC design and firewall configuration.
• Software Engineering: Strong programming skills in Python, and experience with Java or Scala.
• Data Engineering at Scale: Solid ELT/ETL design experience and hands-on work with Apache Spark.

Requirements

• Architect the GCP Data Platform: Design and implement a scalable, secure GCP data platform that serves as the foundation for analytics and AI across RWS.
• Build Infrastructure as Code: Create a reusable, modular Terraform codebase for fast and repeatable provisioning of new environments and data products.
• Automate Delivery: Implement CI/CD pipelines for automated, controlled and auditable deployments of both infrastructure and data code.
• Engineer Data Pipelines: Design and build pipelines using native GCP services including BigQuery, Dataflow, Dataform, Cloud Composer and Knowledge Catalog.
• Scale Delivery with AI: Leverage AI agents and automation to accelerate pipeline delivery and raise the throughput of the wider engineering team.

Benefits

• Work with smart people who are passionate about growing the value of ideas, data, and content.
• Inclusive and diverse work environment that celebrates differences.
• Opportunities for individual growth and career advancement.

Company Description

RWS embraces DEI and promotes equal opportunity. We are an Equal Opportunity Employer and prohibit discrimination and harassment of any kind. RWS is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment.