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
- Work‑life balance initiatives: well‑being platform, yoga, massages, educational webinars, Employee Support Program, film screenings organized by employees in the office cinema
- Training and development: training platform, co‑financing of English lessons, Employee Resource Groups, Engagement Club – the opportunity to develop your interests in thematic employee groups, online meetings with experts
- CSR activities: volunteering, ecological and social initiatives
- Access to parking spaces
Your Role Accountabilities
High‑Scale Data Pipeline Engineering
- Design and maintain ingestion, ETL, and activation pipelines supporting real‑time and batch processing of multi‑billion event datasets.
- Optimize data workflows for latency, reliability, and scalability in cloud‑native environments.
Platform Modernization & Lakehouse Development
- 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.
Cross‑Functional Data Delivery
- 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.
Architectural Leadership & Mentorship
- 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 of experience 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.
Hybrid Working - This role is advertised as a Hybrid work model, that combines remote and in‑office work, following our current company policy and to be agreed with your Line Manager. Subject to any applicable laws, WBD / your Line Manager reserves the right to change this working agreement where this is essential to business needs and upon reasonable notice to you.
How We Get Things Done
Our guiding principles define how we operate and are central to how we get things done. We invite you to explore them at www.wbd.com/guiding-principles/ and look forward to discussing them during your interview.
Championing Inclusion at WBD
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.