Manager, Data Engineer

About WPP

WPP is the trusted growth partner for the worlds leading brands. We unitecutting-edge media intelligence and data solutions world-class creativity next-generation production transformative enterprise solutions and expert strategic counselin a single company powered by exceptional talent and our agentic marketing platform WPP Opento help our clients navigate change capture opportunity and deliver transformational growth. For more information visit.

About WPP Media

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

WPP Media is WPPs global media a world where media is everywhere and in everything we bring the best platform people and partners together to create limitless opportunities for growth. For more information visit

At WPP Media we believe in the power of our culture and our people. Its what elevates us to deliver exceptional experiences for both our clients and each this role it will be critical to embrace WPP & WPP Medias shared core values:

• Be Extraordinary by Leading Collectively to Inspire transformational Creativity.
• Create an Open environment by Balancing People and Client Experiences by Cultivating Trust.
• Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise.

Key Responsibilities:

• Design develop and optimize enterprise ETL/ELT pipelines utilizing Azure Data Factory Azure Data Lake Storage and advanced serverless technologiesensuring cross-platform scalability security and reliability.
• Architect and implement highly efficient complex SQL solutionsincluding advanced query optimization partitioning and indexingto power sophisticated analytics models and enable real-time data processing.
• Lead the development and integration of robust automation frameworks using Python and API orchestration introducing innovative solutions to streamline the entire data lifecycle and maximize operational efficiency.
• Exercise full ownership of production pipeline reliability; proactively identify and resolve critical issues through deep root-cause analysis and institute resilient long-term stability measures for continuous uptime.
• Establish refine and enforce rigorous coding and architectural standards through comprehensive code reviews and technical audits setting quality benchmarks for the offshore engineering team.
• Serve as a liaison with onshore leadership driving strategic backlog prioritization release management and complex cross-regional project coordination to align with organizational objectives.
• Champion best-in-class documentation data lineage and automated CI/CD deployment practices ensuring transparency auditability and governance across all data assets.
• Assist with enterprise capacity planning resource optimization and architectural design of innovative data solutions tailored to evolving business requirements.
• Demonstrate expert-level support for analytics and media teams translating business challenges into scalable high-performance technical solutions leveraging deep Azure and SQL expertise.

Senior-Level Expectations:

• Act as the organizations subject matter expert (SME) in end-to-end pipeline architecture orchestration frameworks schema evolution and advanced Azure Data Factory strategies.
• Mentor and develop junior and mid-level engineers through structured coaching technical workshops and ongoing knowledge transfer cultivating a high-performance engineering culture.
• Lead modernization initiatives across the organization championing the adoption of technologies such as Databricks DBT and advanced DevOps practices to future-proof the data platform and enable rapid innovation.
• Ensure strict adherence to SLAs and regulatory compliance through advanced monitoring proactive risk mitigation and continuous improvement of operational processes.

Required Skills

• 5-6 years of progressive experience in data engineering with expert-level mastery of Azure Data Factory SQL and cloud data platforms (Azure and/or GCP).
• Proven expertise in designing optimizing and managing large-scale production-grade data pipelines including deep skills in SQL performance tuning ADF orchestration and CI/CD automation.
• Advanced knowledge of production operations troubleshooting and high-availability data processing at scale.

Good to Have

• Adverity
• Dataflow
• Big Query
• Databricks
• DBT
• Terraform
• Wrike/Jira/Azure DevOps
• DP203 / GCP Data Engineer certifications

Life at WPP Media & Benefits

Our passion for shaping the next era of media includes investing in our employees to help them do their best work and were just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions grow their networks and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins sharing thought leadership and celebrating holidays and milestone events. Our benefits include competitive medical group retirement plans vision and dental insurance significant paid time off preferential partner discounts and employee mental health awareness days.

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to 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.

We believe the best work happens when were together fostering creativity collaboration and connection. Thats why weve 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.

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