Senior Data Engineer — Real-Time Pipelines & Lakehouse

Warner Media, LLC.; Warszawa; Hybrid; PLN 297,366 - 424,809; Full time

Benefits offered by this job

Private medical care

Life and accident insurance

MyBenefit cafeteria platform

Sports card

Social fund

Retirement pension plan

Employee Referral Program

Access to the HBO Max platform

Well-being platform

Training platform

Volunteer activities

Job summary

Warner Media, LLC. is seeking a Senior Staff Data Engineer in Warsaw to design and deliver data pipelines that process billions of ad events daily. The successful candidate will lead modernization of legacy workflows into cloud-native systems and ensure reliable data delivery.

This role requires extensive experience in data engineering, especially in high-throughput environments, along with expertise in cloud technologies like AWS and open table formats. The position promotes a hybrid work model, fostering both in-office and remote collaboration.

Qualifications

• 8+ years of experience designing and operating enterprise-scale data platforms with high-throughput pipelines.
• Hands-on expertise with open table formats (Iceberg, Delta, Hudi), and distributed compute.
• Skilled in CI/CD, automation, observability, and governance frameworks.

Responsibilities

• Design and maintain ingestion, ETL, and activation pipelines for multi-billion event datasets.
• Modernize legacy ad-tech systems into open lakehouse-based architectures.
• Partner with Data Science to operationalize ML models.

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

Tools

AWS/GCP/Azure

Apache Kafka

Apache Flink

Apache Presto

Job description

Warner Media, LLC. is seeking a Senior Staff Data Engineer in Warsaw to design and deliver data pipelines that process billions of ad events daily. The successful candidate will lead modernization of legacy workflows into cloud-native systems and ensure reliable data delivery.

This role requires extensive experience in data engineering, especially in high-throughput environments, along with expertise in cloud technologies like AWS and open table formats. The position promotes a hybrid work model, fostering both in-office and remote collaboration.