Senior Staff, Data Engineer
⚲ Warszawa
Do uzgodnienia
Wymagania
- AWS
- Google Cloud Platform
- Microsoft Azure
Opis stanowiska
Nasze wymagania:
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.
Zakres obowiązków:
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.
Oferujemy:
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
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.
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.
Zakres obowiązków:
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.
Oferujemy:
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
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.
🔍 Dekoder Ogłoszenia
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PhD preferred for advanced expertise in distributed systems or statistical optimization.
Chociaż doktorat jest preferowany, może to oznaczać, że osoba bez doktoratu, ale z odpowiednim doświadczeniem, również będzie rozważana, ale z mniejszym priorytetem.
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8+ years of experience designing and operating enterprise-scale data platforms with high-throughput pipelines.
Wymagane jest bardzo długie doświadczenie, co może sugerować, że firma szuka kogoś, kto już rozwiązywał bardzo złożone problemy na dużą skalę, a nie kogoś, kto dopiero się tego uczy.
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Operational Excellence: Skilled in CI/CD, automation, observability, and governance frameworks for enterprise-grade data engineering.
Oznacza to, że oczekuje się nie tylko budowania, ale także utrzymywania i monitorowania systemów w sposób bardzo dojrzały i zautomatyzowany, co może być czasochłonne.
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Collaboration & Mentorship: Demonstrated ability to partner with data scientists, product, and platform engineering, while mentoring junior engineers.
Poza technicznymi obowiązkami, oczekuje się aktywnego wspierania innych i dzielenia się wiedzą, co może oznaczać dodatkowe obciążenie pracą.
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Modernize legacy ad-tech systems into open, lakehouse-based architectures (Iceberg, Delta, Hudi) for unified a
Praca może polegać na migracji i refaktoryzacji starych, potencjalnie problematycznych systemów, co bywa trudniejsze niż budowanie od zera.