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Principal Data Platform Engineer

Job not on LinkedIn

šŸ”„ 1 minute ago

🌐 United Kingdom, India, +1 more countries – Remote

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ā° Full Time

šŸ”“ Lead

🚰 Data Engineer

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Logo of RWS Group

RWS Group

5001 - 10000 employees

šŸ’¼ Consulting

šŸ„ Healthcare

āš–ļø Legal

Consulting • Healthcare • Legal

RWS Group is a leading provider of AI-powered language services and technology, specializing in translation and localization for a variety of industries. With a focus on enhancing global communication, RWS offers solutions that improve translation quality, manage multilingual content, and streamline the localization process. Their services cater to sectors such as aerospace, finance, legal, life sciences, and technology, leveraging advanced AI to ensure clients can effectively connect across languages and cultures.

šŸ“‹ Description

• Architect and implement a scalable, secure GCP data platform for analytics and AI across RWS • Create reusable, modular Terraform infrastructure-as-code for repeatable environment and data-product provisioning • Implement CI/CD pipelines for automated, controlled and auditable infrastructure and data-code deployments • Design and build data pipelines using BigQuery, Dataflow, Dataform, Cloud Composer and Knowledge Catalog • Leverage AI agents and automation to accelerate pipeline delivery and increase engineering-team throughput • Own the platform end to end, from infrastructure as code and CI/CD through to data pipelines

šŸŽÆ Requirements

• Expert-level Terraform • Experience with GitHub Actions or similar automated build and deployment tools • Deep GCP experience, including BigQuery, Dataflow, Dataform, Cloud Composer and Pub/Sub • Strong knowledge of IAM, RBAC, VPC design and firewall configuration • Strong programming skills in Python • Experience with Java or Scala • Solid ELT/ETL design experience • Hands-on experience with Apache Spark • Azure experience alongside GCP is a bonus • Experience with Helm and Kubernetes is a bonus • Practical experience using AI agents or copilots is a bonus • Knowledge or experience implementing data products and data mesh principles is a bonus

šŸ–ļø Benefits

• Equal employment opportunity and non-discrimination commitment • Inclusive work environment • Career growth and individual development opportunities • Opportunity to work with global teams supporting worldwide operations

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