Big Data Engineer

🚀 Big Data Engineer

📍 Remote or Hybrid (EMEA preferred) | Full-time | AdTech Platform | Python/Java/Scala

We’re looking for an experienced Big Data Engineer to join our high-impact team building the backbone of a global advertising platform delivering personalized content to millions of media-enabled devices.

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.

🔍 What You’ll Be Doing

• Build and maintain robust, scalable data pipelines to support attribution, targeting, and analytics

• Collaborate closely with Data Scientists, Engineers, and Product Managers

• Design and implement efficient storage and retrieval layers for massive datasets

• Optimize data infrastructure and streaming processing systems (e.g. Flink, Apache Ignite)

• Drive quality through unit tests, integration tests, and code reviews

• Develop and maintain Airflow DAGs and other orchestration pipelines

• Translate business needs into robust, technical data solutions

• Lead or support A/B testing and data-driven model validation

• Contribute to R&D initiatives around cloud services and architecture

✅ What You Bring

• 5+ years of experience in backend/data engineering using Python, Java, or Scala

• Strong experience with Big Data frameworks (Hadoop, Spark, MapReduce)

• Solid knowledge of SQL/NoSQL technologies (e.g. Snowflake, PostgreSQL, DynamoDB)

• Hands-on with Kubernetes, Airflow, and AWS (or similar cloud platforms)

• 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

• Fluent in English (B2+)

• Degree in Computer Science, Telecommunications, or related technical field

⭐ Bonus Points

• Experience with GoLang or GraphQL

• Hands-on with microservices or serverless solutions

• Experience in container technologies (Docker, Kubernetes)

• Previous work in AdTech, streaming media, or real-time data systems