About WPP
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. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow.
About Open Intelligence
We are the Activation arm of WPP Open Intelligence. Our team builds the foundational data infrastructure and high-performance edge services that power WPP’s position in the market. Our edge services currently handle over 60,000 classification requests per second, while our contextual classification pipelines process 10,000 requests per second. We are an engineering-led team focused on building robust, scalable, and highly reliable systems.
Role Description
We’re looking for a Senior Data Engineer who is passionate about building scalable, reliable, and efficient data platforms. You’ll work closely with platform, product, analytics, and engineering teams to design and deliver robust data solutions that support innovation, operational excellence, and data-driven decision making at scale. This is a hybrid role based in Warsaw, Poland.
Responsibilities
- 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.
- Passionate, inspired people – We aim to create a culture in which people can do extraordinary work.
- Scale and opportunity – We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the industry.
- Challenging and stimulating work – Unique work and the opportunity to join a group of creative problem solvers.
- Compensation: 8 500 zł—17 042 zł PLN.
- Comprehensive benefits package: private medical care, professional development opportunities, training programmes and flexible working arrangements (where applicable).
- Hybrid work environment: teams in the office around four days a week.
- 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.
