Data engineer in marketing technology

WPP is the trusted growth partner for the world’s leading brands. 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. We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise.

• Design, build, and maintain scalable data pipelines and processing frameworks across the Open Intelligence platform
• Develop reliable and efficient ETL/ELT workflows to support analytics, product, and operational use cases
• Build and optimize data models, storage solutions, and data integration processes for large-scale datasets
• Partner closely with software engineering, analytics, product, and platform teams to deliver high-quality data solutions
• Improve data quality, observability, reliability, and performance across data systems and pipelines
• Support real-time and batch data processing workflows using modern cloud-native technologies
• Contribute to the design and evolution of data platform architecture, standards, and engineering best practices
• Implement monitoring, testing, and automation to improve operational efficiency and reduce data pipeline failures
• Troubleshoot and resolve complex data and infrastructure issues across distributed systems
• Help drive governance, security, and compliance best practices across data environments
• Mentor junior engineers and contribute to a strong engineering culture focused on collaboration, learning, and continuous improvement
• Evaluate and introduce new tools, frameworks, and technologies to improve scalability, developer experience, and platform capability

• Strong communication skills, you can effectively explain technical concepts to various audiences.
• 4+ years of experience in data engineering.
• Solid experience with data wrangling in a language such as Python, Go, or Scala.
• Proficiency in large scale processing engines and related ecosystems (Spark)
• Experience working with CI/CD, version control, and testing best practices.
• Experience with GCP platform.
• Experience working with infrastructure as code tools like Terraform.
• Experience with containerization management tools like Kubernetes.
• A passion for data, technology, and computer languages.
• Interest in leveraging AI coding assistants and prompt engineering to enhance productivity.
• Candidates must currently reside in Poland or be willing to relocate independently to Warsaw, as relocation support is not provided for this position.

• This is a full-time position offered exclusively on a Contract of Employment (Umowa o Pracę).
• Please note that this is a hybrid role, requiring employees to work from our Warsaw office (Centrum Koneser) at least 3 days per week. We are not considering fully remote or B2B arrangements for this position.
• 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.
• In addition to the salary range provided, we offer a comprehensive benefits package designed to support our employees' well-being and professional growth. While specific details may vary by agency, typical benefits often include: private medical care, professional development opportunities, training programmes and flexible working arrangements (where applicable). Some agencies may offer additional benefits.
• 8 500 zł—17 042 zł PLN