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Data Engineering Expert
3 weeks ago
We are seeking a seasoned Big Data Engineer to build and maintain robust, scalable data pipelines that support attribution, targeting, and analytics for a global advertising platform.
Your work will directly influence data-driven decision making, real-time targeting, and analytics pipelines for one of the most advanced AdTech ecosystems in the industry.
Remote or Hybrid (EMEA preferred) | Full-time | AdTech Platform | Python/Java/Scala
Key Responsibilities- Design and implement efficient storage and retrieval layers for massive datasets
- Orient data infrastructure and streaming processing systems (e.g. Flink, Apache Ignite) for optimal performance
- Craft and maintain Airflow DAGs and other orchestration pipelines to streamline workflows
- Translate business needs into robust, technical data solutions to drive quality and efficiency
- Lead or support A/B testing and data-driven model validation to inform strategic decisions
- Data engineering expertise with strong experience in Python, Java, Scala
- Hands-on with Big Data frameworks (Hadoop, Spark), SQL/NoSQL technologies (Snowflake, PostgreSQL, DynamoDB)
- Familiarity with Kubernetes, Airflow, AWS (or similar cloud platforms), and container technologies (Docker)
- Stream processing experience: Flink, Ignite
- Experience with large-scale dataset processing and performance optimization
- Familiarity with modern software practices: Git, CI/CD, clean code, Design Patterns
- Experience with GoLang or GraphQL
- Hands-on with microservices or serverless solutions
- Previous work in AdTech, streaming media, or real-time data systems
- Sport subscription
- Private healthcare
- International projects
This role offers a unique opportunity to work on high-impact projects that drive innovation and growth in the AdTech space.
You will collaborate closely with Data Scientists, Engineers, and Product Managers to design and implement cutting-edge data solutions that make a tangible difference in the industry.
The ideal candidate is a seasoned Big Data Engineer with a passion for building scalable data pipelines and driving quality through technical excellence.