Senior Data Platform Engineer - GCP & Real-Time Pipelines

Legal Counsel - 12 month FTC at Rightmove Greenhouse; Greater London; Hybrid; GBP 85,000 - 125,000; Full time

Benefits offered by this job

Hybrid working 2 days in the office

Private Medical Insurance

Pension and Life Insurance

27 days holiday

Travel Loans

Job summary

Rightmove is seeking a Senior Data Engineer to own the infrastructure and tooling powering our data ecosystem. You will design reusable patterns on a GCP-based platform, write robust Python and SQL, and deploy infrastructure with Terraform while guiding engineering best practices across the team.

You will lead cross-functional initiatives, collaborate with data scientists and analytics to enable self-service data workflows, and drive scalable, secure data pipelines in a hybrid London-based

Qualifications

• Strong Python and SQL engineering skills.
• Experience with GCP or comparable cloud platforms.
• Hands-on with infrastructure as code (Terraform).
• Experience building and operating large-scale data platforms.

Responsibilities

• Define technical approach for complex data challenges and set direction.
• Own end-to-end technical leadership of cross-functional projects.
• Design and build data platform infrastructure and internal tooling.
• Own data ingestion and processing frameworks for reliability and scalability.
• Manage infrastructure, security and deployments with Terraform and CI/CD.
• Optimize performance, scalability, and cost of the data platform.
• Champion engineering best practices and perform code reviews.
• Enable self-service data workflows with analytics teams.

Skills

Python

SQL

GCP

Terraform

CI/CD

Tools

dbt

Airflow

Job description

Rightmove is seeking a Senior Data Engineer to own the infrastructure and tooling powering our data ecosystem. You will design reusable patterns on a GCP-based platform, write robust Python and SQL, and deploy infrastructure with Terraform while guiding engineering best practices across the team.

You will lead cross-functional initiatives, collaborate with data scientists and analytics to enable self-service data workflows, and drive scalable, secure data pipelines in a hybrid London-based