Data Engineer

WPP

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: As a Data Engineer in the WPP Enterprise Data Group, you will be responsible for the design and implementation of scalable data solutions providing enterprise-scale data transformation across a broad range of projects. Your role will focus on delivering solutions that utilize large-scale data ingestion, processing, storage/querying, streaming, and batch analytics using Databricks. As part of a team, you will implement world-class solutions designed by our data architects. Your responsibilities will include estimating, designing, coding, testing, deploying, and ensuring scalability and performance on Azure using key technologies like Databricks. As a hands-on technologist with an extensive data engineering background using Databricks, you will be joining a group of Data Engineers who are passionate about building the best possible solutions for our business and endorse a culture of life-long learning and collaboration. What you'll be doing: * Design, build, test and maintain data pipelines (ELT), according to business and technical requirements. * Implement secure platforms with data governance in mind. * Play a key role in automation and building industry leading solutions against architectural best practices. * Propose technical designs and develop integrations. * Deliver data migrations between legacy & modern platforms * Design & deliver data warehousing solutions and key data engineering workstreams for any required solution. * Support cross-functional teams across the data space. What you'll need: Minimum requirements for this role include: * 3+ years of experience designing and building scalable distributed data pipelines and dimensional data models * 3+ years of experience in Python and SQL * Experience using Databricks platform and PySpark is a must. * Extensive experience of Microsoft Azure data services – Data Factory, ADLS gen2, Event Hubs, Azure SQL, Azure Key Vault * Ideally experience in the following – Kafka, Delta Lake, Pandas * A demonstrable understanding of Continuous Integration, Continuous Delivery (CI/CD) and Agile practices, unit & integration tests and development practices using Azure DevOps. * Fluency in English. * Exposure to AI & ML technologies is a plus. Who you are: You're open: We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working. You're optimistic: We believe in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with conviction: to try the new and to seek the unexpected. You're extraordinary: we are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day. What we'll give you: Passionate, inspired people – We aim to create a culture in which people can do extraordinary work. Scale and opportunity – We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the industry. Challenging and stimulating work – Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge? #LI-Hybrid  We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. WPP is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers. PLEASE READ OUR PRIVACY NOTICE (HTTPS://WWW.WPP.COM/EN/CAREERS/WPP-PRIVACY-POLICY-FOR-RECRUITMENT) FOR MORE INFORMATION ON HOW WE PROCESS THE INFORMATION YOU PROVIDE.

WPP

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 Actionsand 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 Catalogintegration for metadata management, lineage tracking, and access control * Production Deployment & Incident Management * Own production deployment workflows and manage Databricks Jobsconfigurations * 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 Repositorywith reusable templates and patterns * Analyze incident trends and participate in retrospectives to drive platform optimization What you'll need: * Experience * 5+ yearsof hands-on experience in data operations, data engineering, or platform engineering * Proven track record supporting production data pipelines and operational workflows * Technical Expertise * Databricks Platform: * Practical experience with Databricks SQL Warehouses, Jobs/Workflows, and CLI * Understanding of Unity Catalogfor governance, access control, and lineage * Knowledge of Delta Lakeand performance tuning * Familiarity with Databricks Asset Bundlesfor Infrastructure as Code * * Data Transformation Pipeline - Operational Proficiency: * Strong working knowledge of SQL-based transformation frameworksfor operational purposes (e.g., dbt, Dataform, SQLMesh, or orchestrated transformation pipelines) * Understanding transformation project structure, dependency management, testing frameworks, and documentation standards * Reading and understanding SQL transformations for validation and troubleshooting * Running transformation commands/workflows for CI/CD and production operations * CI/CD integration, environment management, and automated deployment * Troubleshooting production transformation pipeline issues using logs and error messages * Production experience with data quality testing and validation at scale * * CI/CD & Automation: * Proficiency with GitHub Actionsincluding workflows, secrets management, and environment configuration * Understanding of Git workflows and code review processes * Familiarity with pre-commit hooks, linting, and automated testing * Basic knowledge of Infrastructure as Code principles * * Python & SQL: * Proficient in Pythonfor scripting and automation (experience with dlthub is a plus) * Strong SQLskills for data validation and troubleshooting * Ability to read and understand complex data transformation logic * * Cloud & Operational Skills: * Solid understanding of core cloud services in Azure and/or GCP * Experience with production monitoring, alerting, and incident response * Understanding of SLA management and operational metrics * Strong problem-solving skills for diagnosing distributed system issues * Excellent communication and documentation skills * Detail-oriented with commitment to operational excellence * Preferred Skills * Production operational experience with dbt Core (our primary transformation framework) including project structure, models, tests, macros, and CLI operations * Understanding of FinOps practices for cloud cost optimization * Exposure to Power BI or similar BI tools * Experience with Terraform or other Infrastructure as Code tools * Familiarity with Confluence and Jira Who you are: You're open: We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working. You're optimistic: We believe in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with conviction: to try the new and to seek the unexpected. You're extraordinary: we are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day.   What we'll give you: Passionate, inspired people – We aim to create a culture in which people can do extraordinary work. Scale and opportunity – We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the industry. Challenging and stimulating work – Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge?   We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. WPP is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers. PLEASE READ OUR PRIVACY NOTICE (HTTPS://WWW.WPP.COM/EN/CAREERS/WPP-PRIVACY-POLICY-FOR-RECRUITMENT) FOR MORE INFORMATION ON HOW WE PROCESS THE INFORMATION YOU PROVIDE.

WPP

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:  Our organization is embarking on a transformative journey to unify our global data landscape through a new central initiative. We are moving away from fragmented systems to a standardized, cloud-agnostic, and AI-ready data platform built on a modern tech stack: dbt, Databricks, Python (dlt), and GitHub Actions.  As a foundational member of our central platform team in Chennai, you will be a hands-on builder responsible for bringing our strategic data blueprint to life. This is a role for an execution-focused engineer who loves building high-quality, governed, and reusable data assets that will be deployed across our global markets and wants to make a tangible impact on a global scale. This role combines data engineering along with an opportunity to enable next-generation AI. What you'll be doing: * Develop, test, and deploy robust, scalable, and optimized data transformation pipelines using dbt and SQL on the Databricks platform.  * Design and maintain scalable dimensional models (SCD1/SCD2), implement advanced partitioning, and ensure high-performance query execution.  * Enforce and automate data governance, data quality checks, and security (RLS/CLS) using Databricks Unity Catalog and dbt's testing framework.  * Implement and manage data ingestion from diverse sources (REST APIs, SFTP, SQL databases, Cloud Storage) using Python, preferably with frameworks like dlt.  * Leverage the full potential of the Databricks Lakehouse Platform, with a focus on Databricks SQL and Unity Catalog for governance, security (RLS/CLS), and data discovery.  * Design and build data products that support Agentic AI and Generative AI applications, ensuring reliable, governed, and low-latency access to enterprise data. * Partner with DevOps teams to establish and maintain CI/CD pipelines for data projects using GitHub Actions for automated testing and deployment  * Document solutions clearly and contribute to operational runbooks and knowledge base.  * Collaborate with global teams to execute the strategic blueprint, ensuring standards and best practices are followed across markets.  * Mentor junior and mid-level engineers through code reviews, pair programming, and technical guidance  What you'll need: * Experience: 5+ years of dedicated, hands-on data engineering experience, with a strong track record of delivering production-grade solutions  * dbt Expertise: Expert-level proficiency in dbt (Core), including structuring projects, writing macros, implementing tests, and integrating with CI/CD. This includes experience of resolving real production issues and versed with the best-practices around the same.   * Databricks Proficiency(with focus on SQL) : Strong, practical experience with the Databricks Lakehouse Platform, specifically Databricks SQL, Unity Catalog, and Databricks Workflows.  Good understanding of Delta Lake , Performance Optimization techniques.  * Understanding of Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), embeddings, vector databases, and semantic layers. Ability to collaborate with AI teams and prepare enterprise data for GenAI use cases. * Python for Data Engineering: Proficient in Python for data ingestion and automation. Experience with data loading libraries is a major plus.  * SQL & Data Warehousing Mastery: Deep understanding of advanced SQL, query optimization, MPP engine concepts, and practical experience designing and implementing dimensional models.  * Diverse Ingestion Patterns: Proven ability to ingest data from a variety of sources (APIs, SFTP, SQL) and big-data file formats.  * Strong Cloud Fundamentals :  A solid understanding of core cloud services, including object storage (ADLS/GCS), secret management (Key Vault/Secret Manager), and compute concepts (VMs, Functions, Containers)  * CI/CD for Data: Proven ability to configure and troubleshoot data-specific workflows within a CI/CD framework (GitHub Actions preferred), in partnership with a DevOps team  * Communication & Collaboration: Excellent communication skills, with the ability to articulate complex technical concepts to diverse audiences and collaborate effectively with distributed, global teams  Who you are: You're open: We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working. You're optimistic: We believe in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with conviction: to try the new and to seek the unexpected. You're extraordinary: we are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day.   What we'll give you: Passionate, inspired people – We aim to create a culture in which people can do extraordinary work. Scale and opportunity – We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the industry. Challenging and stimulating work – Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge? #LI-Hybrid  We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. WPP is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers. PLEASE READ OUR PRIVACY NOTICE (HTTPS://WWW.WPP.COM/EN/CAREERS/WPP-PRIVACY-POLICY-FOR-RECRUITMENT) FOR MORE INFORMATION ON HOW WE PROCESS THE INFORMATION YOU PROVIDE.