About the Role
Design, build, test, and maintain scalable data pipelines (ELT) and data warehousing solutions on Azure using Databricks, ensuring data governance and automation.
Requirements
Requires 3+ years experience designing and building scalable distributed data pipelines and dimensional data models, with strong proficiency in Python, SQL, Databricks, PySpark, and Microsoft Azure data services.
Full Job Description
<div class="content-intro"><p><strong>WPP is the trusted growth partner for the world’s leading brands. </strong></p>
<p><strong>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. </strong><br><strong> </strong><br><strong>We have been building the world's most valuable brands for 50 years and have global reach across 100+ markets, with deep local expertise.</strong><br><strong> </strong><br><strong>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. </strong><br><strong> </strong><br><strong>For more information, visit <a href="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" target="_blank">WPP.com.</a></strong><br><strong> </strong></p></div><p> </p>
<p><span style="text-decoration: underline;"><strong>Why we're hiring:</strong></span></p>
<p>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.<br>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.<br>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.</p>
<p><span style="text-decoration: underline;"><strong>What you'll be doing:</strong></span></p>
<ul>
<li>Design, build, test and maintain data pipelines (ELT), according to business and technical requirements.</li>
<li>Implement secure platforms with data governance in mind.</li>
<li>Play a key role in automation and building industry leading solutions against architectural best practices.</li>
<li>Propose technical designs and develop integrations.</li>
<li>Deliver data migrations between legacy & modern platforms</li>
<li>Design & deliver data warehousing solutions and key data engineering workstreams for any required solution.</li>
<li>Support cross-functional teams across the data space.</li>
</ul>
<p><span style="text-decoration: underline;"><strong>What you'll need:</strong></span></p>
<p>Minimum requirements for this role include:</p>
<ul>
<li>3+ years of experience designing and building scalable distributed data pipelines and dimensional data models</li>
<li>3+ years of experience in Python and SQL</li>
<li>Experience using <strong>Databricks </strong>platform<strong> </strong>and<strong> PySpark</strong> is a must.</li>
<li>Extensive experience of Microsoft Azure data services – Data Factory, ADLS gen2, Event Hubs, Azure SQL, Azure Key Vault</li>
<li>Ideally experience in the following – Kafka, Delta Lake, Pandas</li>
<li>A demonstrable understanding of Continuous Integration, Continuous Delivery (CI/CD) and Agile practices, unit & integration tests and development practices using Azure DevOps.</li>
<li>Fluency in English.</li>
<li>Exposure to AI & ML technologies is a plus.</li>
</ul>
<p> </p>
<p> </p>
<p><span style="text-decoration: underline;"><strong>Who you are:</strong></span></p>
<p><strong>You're open<em>:</em> </strong>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.</p>
<p><strong>You're optimistic<em>:</em></strong> <span id="628d56ad5d8a35dab853e65d9daa237c" class="editor-module-hl-green-solid">We believe</span> 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.</p>
<p><strong>You're extraordinary:</strong> we are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day.</p>
<p> </p>
<p><span style="text-decoration: underline;"><strong>What we'll give you:</strong></span></p>
<p><strong>Passionate, inspired people</strong> – We aim to create a culture in which people can do extraordinary work.</p>
<p><strong>Scale and opportunity</strong> – We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the industry.</p>
<p><strong>Challenging and stimulating work</strong> – Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge?</p>
<p><span style="color: rgb(236, 240, 241);">#LI-Hybrid </span></p><div class="content-conclusion"><p><strong>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.</strong></p>
<p><strong>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.</strong></p>
<h4><strong>Please read our Privacy Notice (<a href="https://www.wpp.com/en/careers/wpp-privacy-policy-for-recruitment">https://www.wpp.com/en/careers/wpp-privacy-policy-for-recruitment</a>) for more information on how we process the information you provide.</strong></h4></div>