--- title: "Data Engineer" company: "WPP" company_url: "https://www.remjobs.works/companies/wpp" url: "https://www.remjobs.works/job/wpp-data-engineer-3e8db6a3-59d4-4011-9167-1fba97a0ef85" apply_url: "https://job-boards.greenhouse.io/wpp/jobs/8799854002" workplace: onsite location: "Chennai, Tamil Nadu, India" employment_type: unspecified seniority: mid role: data region: india skills: ["azure", "databricks", "kafka", "python", "spark", "sql"] date_posted: 2026-09-15T06:54:26.000Z first_seen_by_remjobs: 2026-09-17T11:38:59.489Z --- # Data Engineer **WPP** · Chennai, Tamil Nadu, India Apply: https://job-boards.greenhouse.io/wpp/jobs/8799854002 ## About the role **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.](https://eur02.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwpp.com%2F&data=05%7C02%7CErica.Durr%40wpp.com%7C9bf4566a65bc46a48ac008de749116ea%7C150b5e663d884dee83f6ed149b727a00%7C0%7C0%7C639076363668176216%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=Q9juosud56XGLThSFZ1NpPZd6FXpJPxV74OeRZWoh%2B4%3D&reserved=0)** ** ** **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 approach all that we do with confidence: 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 champion a culture of people that do extraordinary work **Scale and opportunity** – we offer the opportunity to create, influence and deliver 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. #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](https://www.wpp.com/en/careers/wpp-privacy-policy-for-recruitment)) for more information on how we process the information you provide. --- Source: WPP's own career page, read by RemJobs. Canonical HTML version: https://www.remjobs.works/job/wpp-data-engineer-3e8db6a3-59d4-4011-9167-1fba97a0ef85