Data Engineering Manager

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 our pioneering agentic 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 . Job Title: Data Engineer (Mid-Level) Company: WPP Media South Africa Location: Johannesburg, South Africa Reports To: Senior Data Specialist Key Responsibilites: Data Engineering: Design, develop and maintain scalable ELT/ETL pipelines using modern cloud technologies. Build and optimise data ingestion frameworks from first-party, second-party and third-party data sources. Develop and maintain robust data models that support analytics and reporting. Build and manage integrations using REST APIs, SDKs and cloud services. Develop reusable data transformation frameworks using dbt or equivalent tooling. Implement incremental processing, partitioning and performance optimisation techniques. Design and maintain data warehouse structures within BigQuery and other cloud environments. Ensure pipeline reliability through monitoring, alerting and automated testing. Troubleshoot production data issues and implement long-term solutions. Cloud Platform Engineering Develop scalable cloud-native data solutions on Google Cloud Platform. Optimise BigQuery performance and manage cloud infrastructure costs. Build solutions using Cloud Functions, Cloud Run, Cloud Storage and Pub/Sub where appropriate. Implement secure access controls using IAM principles. Support infrastructure automation using Infrastructure-as-Code where applicable. Monitor platform performance and recommend improvements. Data Quality & Governance: Implement automated data validation and quality assurance processes. Develop and maintain metadata, documentation, and data lineage. Support data governance frameworks and taxonomy standards. Ensure compliance with data privacy, security, and governance policies. Establish monitoring for data freshness, completeness, and accuracy. Analytics Enablement Build curated datasets that enable self-service reporting and analytics. Partner with Analytics Engineers, BI Developers and Data Analysts to deliver trusted datasets. Support dashboard development by providing clean, scalable, and well-modelled data. Develop reusable business logic and transformation layers. Assist with complex data investigations and root cause analysis. Engineering Best Practices Maintain source control using Git. Participate in code reviews and technical design discussions. Develop technical documentation for pipelines, architecture, and integrations. Contribute to CI/CD deployment processes. Continuously improve engineering standards and platform reliability. Research and evaluate emerging cloud and data engineering technologies. Collaboration Work closely with Media, Analytics, Strategy and Technology teams. Collaborate with platform vendors and technology partners. Support junior engineers through knowledge sharing and mentoring. Contribute to continuous improvement initiatives across the data practice. Minimum Requirements Qualifications Bachelor's Degree in Computer Science, Information Systems, Engineering, Data Science or a related quantitative discipline. Google Cloud Professional Data Engineer certification (preferred). Additional cloud or data engineering certifications are advantageous. Experience 3–5 years' experience in Data Engineering or Analytics Engineering. Experience developing cloud-based data platforms. Experience building scalable data pipelines. Experience integrating APIs and third-party platforms. Experience working with modern data warehouses. Experience supporting business intelligence and analytics platforms. Experience within media, marketing technology or digital analytics is advantageous. Technical Skills Programming SQL (Advanced) Python REST APIs JSON Git Data Engineering dbt ETL / ELT Data Modelling Data Warehousing Incremental Processing Pipeline Orchestration Data Quality Frameworks Identity Resolution concepts Cloud Platforms Google Cloud Platform BigQuery Cloud Storage Cloud Functions Cloud Run Pub/Sub Cloud Composer (Airflow) IAM Advantageous: Snowflake AWS Azure Terraform Docker Analytics and BI Looker Looker Studio Power BI Tableau Google Analytics 4 Adobe Analytics (advantageous) Marketing Technology (Advantageous) Experience integrating or working with data from: Google Ads Campaign Manager 360 DV360 Meta Ads TikTok AppsFlyer SA360 Adverity Knowledge Modern Data Architecture Cloud Computing Data Governance Data Privacy Data Modelling Data Quality Data Observability CI/CD Principles Version Control Cost Optimisation Digital Marketing Ecosystem AI-enabled Data Engineering Success Measures The successful candidate will: Deliver reliable, scalable and secure data pipelines. Maintain high levels of data quality and platform reliability. Improve pipeline performance and reduce processing costs. Enable trusted reporting through well-modelled datasets. Deliver production-ready engineering solutions using best practices. Contribute to continuous improvements in the data platform. Produce clear technical documentation and reusable engineering assets. Behavioural Competencies Strong analytical thinking Problem solving Attention to detail Curiosity and continuous learning Ownership and accountability Collaboration and communication Adaptability Innovation Mentoring and knowledge sharing Ideal Candidate The ideal candidate is passionate about building scalable cloud data platforms and solving complex data integration challenges. They have strong SQL and Py

This senior manager data engineering role leads data engineering projects and teams, focusing on building scalable data pipelines and infrastructure. The manager will architect solutions, mentor engineers, and align data strategy with business goals.

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 our pioneering agentic 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 . 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.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. Some of the things we’d like you to do: Implement and expand upon WPP’s Measure reporting platform to suit the needs of the client’s reporting and needs Deploy data collectors in Adverity to gather data from media, agency system, and other sources Develop and expand on existing data “recipes” and transformations in SQL via DBT run on Google Cloud Platform, borrowing and lending scripts from/to a central repository Development and maintain data quality checks and procedures, helping stakeholders overcome data issues before they impact the quality of the reporting solution Support the translation of user requirements and business needs into technical specifications Be a proficient user of Google Cloud Platform and associated technologies, ensuring your work incorporates industry best practice Monitor automated jobs, troubleshooting data issues as-and-when they arise Support other members of the team responsible for “last mile” transformation and visualization of data within Google Data Studio reports and dashboards Serve as a technical and professional leader for junior staff Provide hands-on support to users of reporting solutions, helping the wider team triage and respond to user queries in a timely manner Attending internal stakeholder meetings, presenting your solutions, and providing updates on your work. Support the development strong working relationships with third-party data providers that we rely on for access to necessary data A bit about yourself : Required Bachelor degree in Science or Engineering 6+ years experience in data engineering, preferably handling advertising media or marketing data Professional experience with Python, SQL, preferably deployed via DBT Analytically minded, enabling you to understand and overcome technically complex challenges, and to tell compelling stories with data Strong organizational skills and attention to detail, including the ability to manage multiple tasks in an autonomous way Strong spoken and written communication skills, ensuring your thoughts and needs are heard and understood An ability to demonstrate a passion for the digital marketing ecosystem, and an understanding of the role that data plays within it Delivers best results when working in a team environment, and an ability to partner effectively with people of varying degrees of technical capability Desirable Previous experience working with data and technology Experience with digital marketing platforms and the data they generate, in particular Google Marketing Platform, Facebook, Tiktok etc. An understanding of how data is tracked and exchanged in the process of digital advertising (e.g. role of ad servers and other third-party tech vendors) Experience using or building reports with business intelligence software, ideally Microsoft PowerBI Work experience within a marketing organization, preferably at a media agency or related company (e.g. publisher, ad tech, client marketing org) 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 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 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. Please read our Privacy Notice for more information o

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