Data Operation Engineer at WPP

Job description

WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. Why we're hiring: WPP Media is embarking on a transformative data journey through Databridge - our internal data integration framework - designed to unify our fragmented global data landscape. We are moving from isolated, market-specific implementations to a standardized, scalable, cloud-agnostic, and AI-ready data platform built on a modern tech stack: dbt, Databricks, Python (dlthub), and GitHub Actions. As a Data Operations Engineer , you will be a foundational member of our new Data Integration & Operations team in Chennai. You will be the bridge between development and production , ensuring data pipelines are delivered reliably, consistently, and securely across global markets. This is a hands-on technical role focused on operationalizing, automating, and monitoring data workflows. You will implement CI/CD for data pipelines, enforce data quality standards, manage production deployments, respond to incidents, and continuously improve data delivery. What you'll be doing: CI/CD Implementation & Automation Build and maintain automated CI/CD pipelines for data workflows using GitHub Actions and Databricks Asset Bundles Implement automated testing gates including code quality checks, data quality validation, and pre-commit hooks Configure and manage multiple environments with proper isolation and access controls Automate deployment processes ensuring repeatable, zero-touch releases Data Pipeline Operations & Monitoring Monitor daily execution of Databricks Jobs/Workflows , tracking pipeline health, data quality, and SLA compliance Set up comprehensive alerting and notifications for failures, SLA breaches, and cost anomalies Use monitoring dashboards to proactively identify and resolve issues Perform regular health checks on production data products Data Quality & Governance Enforce platform-wide data quality standards by creating reusable test macros and validation patterns Review Data Engineer code for proper test coverage, documentation, and adherence to standards Support Databricks Unity Catalog integration for metadata management, lineage tracking, and access control Production Deployment & Incident Management Own production deployment workflows and manage Databricks Jobs configurations Maintain version-controlled job definitions in Git for Infrastructure as Code Act as first responder for production incidents, performing triage and root cause analysis Use operational runbooks to diagnose and resolve common issues Escalate to Data Engineers or DevOps when needed and document incidents with detailed RCA Participate in on-call rotation for operational coverage Documentation & Continuous Improvement Create and maintain operational runbooks detailing schedules, troubleshooting steps, escalation paths, and recovery procedures Document standards, guidelines, and workflows in Confluence Contribute to the Central Data Solution Repository with reusable templates and patterns Analyze incident trends and participate in retrospectives to drive platform optimization What you'll need: Experience 5+ years of hands-on experience in data operations, data engineering, or platform engineering Proven track record supportin