Senior Staff, Data Engineer

Your New Role

The Senior Staff Data Engineer is accountable for designing and delivering data pipelines that process billions of ad events daily across a 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
• 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, including a well-being platform, yoga, massages, educational webinars, Employee Support Program, and employee-organized film screenings
• Training and development, including a training platform, co-financed English lessons, Employee Resource Groups, Engagement Club, and online meetings with experts
• CSR activities, including volunteering and 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 using Iceberg, Delta, and 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

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field; PhD preferred for advanced expertise in distributed systems or statistical optimization.
• 8+ years of experience designing and operating enterprise-scale data platforms with high-throughput pipelines.
• Hands-on expertise with AWS, GCP, or Azure; open table formats including Iceberg, Delta, and Hudi; and distributed compute technologies including Spark, Flink, and Presto.
• Deep knowledge of Kafka, Kinesis, or Pub/Sub for low-latency ingestion and activation.
• Skilled in CI/CD, automation, observability, and governance frameworks for enterprise-grade data engineering.
• Familiarity with advertising workflows, including forecasting, yield optimization, identity, and campaign execution.
• Demonstrated ability to partner with data scientists, product, and platform engineering teams while mentoring junior engineers.

Hybrid Working

This role follows a hybrid work model combining remote and in-office work, subject to current policy and agreement with the Line Manager. The working arrangement may be changed where essential to business needs and with reasonable notice, subject to applicable laws.