Data Management and BI Senior Executive, GOC

WPP; Deutschland; Hybrid; EUR 90.000 - 130.000; Vollzeit

Benefits dieser Stelle

Life insurance

Paid time off

Certifications

Zusammenfassung

WPP Media is seeking a Senior Data Engineer to design, build, and operate enterprise ETL/ELT pipelines on Azure, Databricks, and related tech. You will own production reliability, collaborate with US onshore leadership and analytics teams, and mentor engineers while advancing modern data architectures.

This remote/hybrid role requires strong SQL, Python, and API orchestration skills, with a focus on scale, security, and governance across data assets in a global operations context.

Qualifikationen

• 3–4 years of progressive experience in data engineering.
• Expert-level hands-on experience with Azure Data Factory and Azure SQL.
• Proven design, optimization, and management of large-scale ETL/ELT pipelines.
• Advanced SQL performance tuning and high-volume data processing.
• Strong Python and API orchestration skills for automation.
• Production operations, troubleshooting, SLA management, and CI/CD.
• Experience with Adverity, Dataflow, BigQuery, Databricks, dbt, Terraform, Wrike, Jira is a plus.
• DP-203 and/or GCP Professional Data Engineer certification is a plus.

Aufgaben

• Design, develop, and optimize enterprise ETL/ELT pipelines.
• Build and optimize Azure T-SQL solutions for analytics models.
• Develop automation with Python and API orchestration.
• Own production pipeline reliability and incident resolution.
• Define and enforce coding and architectural standards; mentor engineers.
• Maintain data lineage, governance, and CI/CD across data assets.
• Partner with US onshore leadership and analytics teams to translate needs.
• Lead end-to-end pipeline architecture and modernization with Databricks/dbt.

Kenntnisse

Data engineering

SQL performance tuning

Python

API orchestration

Cloud platforms

ETL/ELT design

CI/CD automation

Data governance

Tools

Azure Data Factory

Azure Data Lake Storage

Databricks

dbt

Terraform

Wrike

Jira

Azure DevOps

BigQuery

Dataflow

Jobbeschreibung

About WPP Media

WPP is the trusted growth partner for the world’s leading brands. With exceptional talent, trusted data and intelligence, and world-class partnerships – all united by ourpioneeringagentic marketing platform, WPP Open – we help clients navigate change, capture opportunity, and deliver transformational growth.

WPP Media is WPP’s AI-driven media operating unit, bringing together media, data, and partnerships to deliver creative personalisation at scale. Connected through WPP Open and powered by Open Intelligence, clients see exactly where, how, and why their media investment is working.

For more information, visit wppmedia.com.

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.com.

WPP Media is WPP’s global media collective. In 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 wppmedia.com.

At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s 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.

Role Summary and Impact

As part of the Global Operations Centre (GOC), you will work closely with teams across the United States, Europe, and Asia to deliver high-impact solutions in a collaborative, multicultural environment. We are looking for a Senior Data Engineer who will:

• Design, develop, and optimize enterprise ETL/ELT pipelines using Azure Data Factory , Azure Data Lake Storage , and serverless technologies , ensuring scalability, security, and reliability.

• Build and optimize complex Azure T-SQL solutions, including query tuning, partitioning, and indexing , to support advanced analytics models and real-time data processing.

• Develop automation frameworks with Python and API orchestration to streamline the data lifecycle and improve operational efficiency.

• Own production pipeline reliability by performing root-cause analysis , resolving critical incidents , and implementing long-term stability measures.

• Define and enforce coding and architectural standards through code reviews and technical audits , while mentoring engineers and raising delivery quality.

• Maintain documentation, data lineage , governance , and automated CI/CD deployment practices across data assets.

• Partner with US onshore leadership and analytics and media teams to translate business needs into scalable, high-performance technical solutions.

• Lead end-to-end pipeline architecture and modernization initiatives involving Databricks , dbt , and advanced DevOps practices; monitor SLAs , mitigate risk, and support compliance.

Skills and Experience

If this opportunity looks right for you, we are looking for candidates who have:

• 3–4 years of progressive experience in data engineering.

• Expert-level hands-on experience with Azure Data Factory , advanced Azure T-SQL/SQL , and cloud data platforms such as Azure and/or GCP.

• Proven experience designing, optimizing, and managing large-scale, production-grade ETL/ELT pipelines , including ADF orchestration and Azure Data Lake Storage.

• Advanced SQL performance tuning skills, including complex query optimization, partitioning, indexing , and high-volume data processing.

• Strong Python and API orchestration skills for automation.

• Advanced experience with production operations, troubleshooting, root-cause analysis, high-availability processing, monitoring, SLA management , and CI/CD automation.

• Experience with one or more of Adverity, Dataflow, BigQuery, Databricks, dbt, Terraform, Wrike, Jira , or Azure DevOps is a plus.

• DP-203 and/or GCP Professional Data Engineer certification is a plus.

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 we’re 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 access to internal learning platforms, certifications, and training sessions, life insurance, wellness programs, significant paid time off, preferential partner discounts, employee mental health awareness day, and more.

WPP Media 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.

We believe the best work happens when we’re together, fostering creativity, collaboration, and connection. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.

This position is available in a Remote or Hybrid Work Modality and must be performed from any location within Mexico or Colombia. Only candidates residing in either country who are legally authorized to work there may apply. Remote work from outside Mexico or Colombia , including relocation abroad under a remote work contract, is not permitted under any circumstances.

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While we appreciate all applications received, only those candidates selected for an interview will be contacted.

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