Senior Data Engineer

Wpp Plc

Warszawa

Ibrido

PLN 95.000 - 190.000

Tempo pieno

14 giorni+

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Vantaggi offerti da questo lavoro

Private medical care
Professional development opportunities
Flexible working arrangements
Hybrid work model

Descrizione del lavoro

WPP in Warsaw is seeking a Senior Data Engineer to design and scale data pipelines powering Open Intelligence. You will build robust ETL/ELT workflows, optimize data models, and collaborate with platform, analytics and product teams.

The role requires 4+ years of data engineering experience, strong Python/Go/Scala skills, and familiarity with Spark, GCP, Terraform, and Kubernetes. This is a hybrid position based in Poland with relocation not provided.

Competenze

  • 4+ years of experience in data engineering.
  • Strong Python/Go/Scala data wrangling.
  • Experience with Spark and large-scale datasets.
  • Familiar with CI/CD, version control, and testing practices.
  • Experience with GCP, Terraform and Kubernetes.

Mansioni

  • Design, build, and maintain scalable data pipelines and processing frameworks.
  • Develop reliable ETL/ELT workflows to support analytics and operations.
  • Optimize data models, storage, and integration for large data volumes.
  • Collaborate with engineering, analytics, product, and platform teams.
  • Improve data quality, observability, and performance across systems.
  • Support real-time and batch data processing using cloud-native tech.
  • Contribute to architecture standards and best practices.
  • Implement monitoring, testing, and automation to reduce failures.
  • Troubleshoot complex data and infrastructure issues.
  • Help governance, security, and compliance across data environments.
  • Mentor junior engineers and foster a collaborative culture.
  • Evaluate new tools and technologies to improve scalability.

Conoscenze

Data engineering
Python
Go
Scala
Spark
CI/CD
Terraform
Kubernetes
GCP

Strumenti

Terraform
Kubernetes
GCP
CI/CD
Version control
Testing

Descrizione del lavoro

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.

For more information, visit WPP.com.

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.

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 Requirement

This 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 capability
What 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.

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 for 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 together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day.

What we’ll give you:
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. Are you up for the challenge?

The gross salary for this position at the time of this posting is indicated below. This range reflects our broader group's compensation framework across diverse agencies and disciplines. For this specific role, our offer will be determined within this range based on our internal benchmark, reflecting the specific market conditions for our discipline. Individual compensation varies based on job-related factors, including business needs, experience, level of responsibility and qualifications.

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

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 (https://www.wpp.com/en/careers/wpp-privacy-policy-for-recruitment) for more information on how we process the information you provide.

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