Senior Staff, Data Engineer

Warner Bros. Discovery; Warszawa; Hybrid; PLN 297,366 - 424,809; Full time

Benefits offered by this job

Private medical care

Life and accident insurance

HBO Max access

Employee Support Program

Training platform

Parking spaces

Job summary

Warner Bros. Discovery is seeking a Senior Staff Data Engineer in Warsaw. This role involves designing and delivering data pipelines processing billions of events daily, setting technical standards for distributed data engineering, and driving modernization of legacy workflows into modular cloud-native systems.

The ideal candidate will have a robust background in data engineering, data platforms, and a strong grasp of cloud and lakehouse architectures. The position supports hybrid work and offers numerous benefits including private medical care, life insurance, and access to HBO Max.

Qualifications

• 8+ years designing and operating enterprise-scale data platforms with high-throughput pipelines.
• Hands-on expertise with AWS/GCP/Azure, and distributed compute.
• Deep knowledge of Kafka, Kinesis, or Pub/Sub for low-latency ingestion.

Responsibilities

• Design and maintain ingestion, ETL, and activation pipelines.
• Optimize data workflows for latency, reliability, and scalability.
• Modernize legacy ad-tech systems into open lakehouse-based architectures.

Skills

Data Engineering Expertise

Cloud & Lakehouse Architectures

Streaming & Real‑Time Systems

Operational Excellence

AdTech Domain Knowledge

Collaboration & Mentorship

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

PhD preferred for advanced expertise

Tools

AWS

GCP

Azure

Kafka

Spark

Flink

Pub/Sub

Job description

About Warner Bros. Discovery

Warner Bros. Discovery offers career-defining opportunities across creative and technology roles, supporting employees to thrive.

Your New Role

The Senior Staff Data Engineer is accountable for designing and delivering data pipelines that process billions of ad events daily across WBD’s global ecosystem. This role sets technical standards for distributed data engineering, drives modernization of legacy workflows into modular cloud-native systems, and ensures mission-critical data is delivered reliably, securely, and cost‑efficiently for monetization and decisioning.

Benefits

• Contract of employment
• Benefits package: private medical care, life and accident insurance, MyBenefit cafeteria platform, sports card, social fund, retirement pension plan, Employee Referral Program
• Free access to the HBO Max platform
• Well‑being platform, yoga, massages, educational webinars, Employee Support Program, film screenings organized by employees in the office cinema
• Training platform, co‑financing of English lessons, Employee Resource Groups, Engagement Club to develop interests in thematic employee groups, online meetings with experts
• CSR activities: volunteering, ecological and social initiatives
• Access to parking spaces

Role Accountabilities & Responsibilities

• Design and maintain ingestion, ETL, and activation pipelines for real‑time and batch processing of multi‑billion event datasets.
• Optimize data workflows for latency, reliability, and scalability in cloud‑native environments.
• Modernize legacy ad‑tech systems into open lakehouse‑based architectures (Iceberg, Delta, Hudi) for unified analytics and monetization.
• Embed observability, data lineage, and automation frameworks to reduce technical debt and improve resiliency.
• Partner with Data Science to operationalize ML models for forecasting, optimization, and personalization.
• Ensure downstream data delivery into ad servers, identity systems, and activation platforms is low‑latency and privacy‑compliant.
• Act as a domain expert in distributed systems, streaming, and big data engineering.
• Mentor junior engineers, share best practices, and elevate engineering standards across global teams.

Qualifications & Experience

• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. PhD preferred for advanced expertise in distributed systems or statistical optimization.
• Data Engineering Expertise: 8+ years designing and operating enterprise‑scale data platforms with high‑throughput pipelines.
• Cloud & Lakehouse Architectures: Hands‑on expertise with AWS/GCP/Azure, open table formats (Iceberg, Delta, Hudi), and distributed compute (Spark, Flink, Presto).
• Streaming & Real‑Time Systems: Deep knowledge of Kafka, Kinesis, or Pub/Sub for powering low‑latency ingestion and activation.
• Operational Excellence: Skilled in CI/CD, automation, observability, and governance frameworks for enterprise‑grade data engineering.
• AdTech Domain Knowledge: Familiarity with advertising workflows including forecasting, yield optimization, identity, and campaign execution.
• Collaboration & Mentorship: Demonstrated ability to partner with data scientists, product, and platform engineering, while mentoring junior engineers.

Working Model

This role is advertised as a hybrid work model combining remote and in‑office work, subject to applicable laws and company policy. The arrangement may be adjusted as required by business needs with reasonable notice.

EEO Statement

Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law.

If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.