Sr. Data Science Engineer

Powering the agentic revolution in travel. Sabre is an AI-native technology leader backed by one of the worlds largest travel data clouds. Built on an open modular cloud-native architecture Sabre serves as the backbone for both established leaders and bold new disruptors guiding them to the next age of travel retailing through intelligent connected and personalized experiences. With AI at its core and operating at unparalleled scale Sabre transforms insights into innovation empowering airlines hoteliers agencies and other partners to retail distribute and fulfill travel worldwide.

Senior Data Science Engineer

CloudNative Analytics Pipelines (GCP)
Service Time: Typically 7 years of progressive experience in data engineering analytics engineering or applied data science roles

Role Overview

We are seeking a Senior Data Science Engineer to design build and operate productiongrade analytics pipelines on Google Cloud Platform. This role spans the full lifecyclefrom orchestration and transformation to analytics ML and infrastructureusing modern CI/CD and infrastructureascode practices.

Key Responsibilities

• Build and operate Apache Airflow DAGs on Cloud Composer including dependencies scheduling and testing.

• Develop batch and streaming pipelines using Apache Beam on Cloud Dataflow.

• Design optimize and maintain BigQuery datasets SQL partitions clustering and costefficient query patterns.

• Develop and operationalize BigQuery ML (BQML) models within analytics workflows.

• Manage environmentaware configuration using YAML across DEV CERT and PROD.

• Provision and manage GCP infrastructure using Terraform (GCS BigQuery IAM CMEK).

• Own and extend GitHub Actions pipelines for build test and multienvironment deployment.

• Apply GitHub Copilot to accelerate development testing and code review.

• Lead or support schema evolution and BigQuery DDL migration efforts.

Required Skills

Strong:

• Python (type hints clean modules conventions)

• Apache Airflow

• BigQuery (SQL DDL performance cost optimization)

• BigQuery ML (training evaluation inference)

• Google Cloud Platform (GCS IAM Composer Dataflow CMEK)

Proficient:

• Apache Beam

• Terraform (IaC modules lifecycle management)

• GitHub Actions (CI/CD artifacts multienv deployment)

• YAMLbased configuration management

• GitHub Copilot / AIassisted development

Nice to Have

• Artifact registries (e.g. Nexus) and deployment orchestration tooling

• CMEKfocused security and encryption patterns

• Largescale BigQuery schema evolution and migration experience

• Lakehouse architectures on GCP

• Crossrepo or multiteam platform engineering experience

• Integrating BQML models into automated Airflow pipelines

If you want I can next:

• Add a short seniorlevel expectations callout (technical leadership design ownership)

We will give careful consideration to your application and review your details against the position criteria. You will receive separate notification as your application progresses.

Please note that only candidates who meet the minimum criteria for the role will proceed in the selection process.