WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients, and communities.

Working at WPP means being part of a global network of more than 115,000 accomplished people in 110 countries. WPP has headquarters in New York, London and Singapore and a corporate presence in major markets worldwide.

We create transformative ideas and outcomes for our clients through an integrated offer of communications, experience, commerce, and technology.

WPP and our award-winning agencies work with most of the world's biggest companies and organisations – from Ford, Unilever and P&G to Google, HSBC, and the UN. Our clients include 61 of the FTSE 100, 307 of the Fortune Global 500, all 30 of the Dow Jones 30 and 62 of the NASDAQ 100. WPP are the leader in the Bloomberg Gender Equality Index and 20th in the FTSE 100 rankings for Women on Boards.

Why we're hiring:

As a Data Engineer in the WPP Enterprise Data Group, you will be responsible for designing, building, and maintaining data solutions that provide enterprise-scale data transformation across a broad range of projects. You will collaborate closely with data analysts, engineers, and other stakeholders to ensure that data is effectively and efficiently collected, processed, and made accessible for analytical purposes. As a hands-on technologist with an extensive data engineering background, 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:

Develop and maintain robust data pipelines using Python, SQL, and experience with big data technologies like Hadoop, Spark
Utilize Azure native services, including but not limited to Azure Data Factory, Azure SQL Database, and Azure Databricks, to build and optimize data workflows.
Deliver data pipelines using best practices for data storage, processing, and retrieval in Azure cloud environments.
Continuously monitor and fine-tune the data platform's performance to meet SLAs and optimize resource utilization, ensuring smooth and fast data access for analytical needs.
Collaborate with cross-functional teams to understand data requirements and design scalable data solutions.
Troubleshoot and resolve data-related issues, ensuring data quality and integrity.
Stay updated on industry trends and advancements in data engineering to contribute to continuous improvement.

What you'll need:

Bachelor’s degree in computer science, Information Technology, or a related field.
Proven experience as a Data Engineer or in a similar role.
Strong proficiency in Python and SQL for data manipulation and analysis and experience with big data technologies like Hadoop, Spark
Hands-on experience with Azure native services, particularly Azure Data Factory, Azure SQL Database (Synapse), and Databricks.
Proven experience in performance optimization and tuning of data pipelines and database queries.
Solid problem-solving skills and analytical thinking to address complex data engineering challenges.
Excellent communication skills to collaborate effectively with cross-functional teams and communicate technical concepts to non-technical stakeholders.
Ability to work independently and as part of a team in a fast-paced environment.

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 accepting: of 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.

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