Senior Data Engineer

JobCubby; Warszawa; Hybrid; PLN 200,000 - 320,000; Full time

Benefits offered by this job

Private medical care

Professional development opportunities

Training programmes

Flexible working arrangements

Job summary

WPP Open Intelligence in Warsaw seeks a Senior Data Engineer to design, build, and maintain scalable data pipelines across the Open Intelligence platform. You will partner with cross-functional teams to deliver robust data solutions, improve data quality, observability, and performance.

The role requires 4+ years in data engineering, strong Python/Go/Scala wrangling, Spark, and cloud-native tech (GCP, Terraform, Kubernetes, CI/CD).

Qualifications

• 4+ years of experience in data engineering.
• Strong wrangling with Python, Go, or Scala.
• Experience with large-scale processing engines and cloud-native tools (Spark, GCP, Terraform, Kubernetes).

Responsibilities

• Design, build, and maintain scalable data pipelines and processing frameworks.
• Develop reliable ETL/ELT workflows for analytics and operations.
• Build and optimize data models, storage, and integration for large datasets.
• Collaborate with software engineering, analytics, product, and platform teams.
• Improve data quality, observability, and performance across data systems.
• Support real-time and batch processing using cloud-native tech.
• Contribute to data platform architecture and engineering best practices.
• Implement monitoring, testing, and automation to reduce failures.
• Troubleshoot data and infra issues in distributed systems.
• Promote governance, security, and compliance across data environments.
• Mentor junior engineers and foster a collaborative culture.
• Evaluate new tools and tech to enhance scalability and developer experience.

Skills

Data pipelines

Distributed systems

CI/CD practices

Python/Go/Scala

Spark

Tools

Terraform

Kubernetes

GCP

CI/CD tooling

Job description

to apply - email only, no card. You can also save this posting or score it againstyour profile with AI.## About the roleDesign, build, and maintain scalable data pipelines and processing frameworks across the Open Intelligence platform. Partner with cross-functional teams to deliver high-quality data solutions while improving data quality, observability, and performance.## RequirementsRequires 4+ years of experience in data engineering with proficiency in Python, Go, or Scala and large-scale processing engines like Spark. Candidates must have experience with GCP, Terraform, Kubernetes, and CI/CD practices.## BenefitsPrivate medical careProfessional development opportunitiesTraining programmesFlexible working arrangements## Full descriptionWPP 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.For more information, visit WPP.com.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. With approximately one-third of all global media spend flowing through WPP, our platform operates at the core of this massive network - deeply integrated and adopted by the largest supply-side partners in the AdTech industry.Operating at our scale presents unique engineering challenges. Our edge services currently handle over 60,000 classification requests per second, while our contextual classification pipelines process 10,000 requests per second. With operations spanning the US, UK, and ongoing expansion into EMEA and APAC, our infrastructure continuously interacts with up to 98% of the population in our active markets. We are an engineering-led team focused on building robust, scalable, and highly reliable systems.Why we're hiring:We are at a critical inflection point in our growth and need to scale our engineering team to tackle an expanding set of complex challenges. As the digital ecosystem evolves, we are actively developing and releasing a new catalog of privacy-preserving data products. These solutions are designed to scale advanced targeting capabilities while remaining uncompromising on our promise to protect user privacy.To support this product evolution, our infrastructure is undergoing massive global expansion. By the end of this year, we will be fully operational across the rest of the EMEA and APAC regions. Concurrently, we are deepening our integrations to support even more of the largest supply-side partners in the AdTech industry. We are hiring because we need strong engineering talent to help us architect for this next order of magnitude in scale - ensuring our systems remain resilient, performant, and compliant as our global footprint and feature set rapidly expand.Location RequirementThis is a hybrid role based in Warsaw, Poland. Candidates must currently reside in Poland or be willing to relocate independently to Warsaw, as relocation support is not provided for this position.Who we are looking for:We're looking for a Senior Data Engineer who is passionate about building scalable, reliable, and efficient data platforms that power impactful products and insights across the Open Intelligence ecosystem. You'll bring strong technical expertise in modern data engineering practices, along with a collaborative mindset and a focus on quality, performance, and continuous improvement.The ideal candidate is comfortable working with large-scale datasets, distributed systems, and cloud-native data technologies, and enjoys solving complex engineering challenges in a fast-paced environment. 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.What you'll be doing:* 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 capabilityWhat you'll need:* 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.Nice to have:If you are ready to be at the forefront of the AdTech industry, shaping its future, and driving success for both our clients, we encourage you to apply and join our team.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.WPP 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.Who you are:You're open: We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working.You're optimistic: We believe in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with conviction: to try the new and to seek the unexpected.You're extraordinary: we are stronger