Data Engineer \| Berlin, Germany \| Hybrid
We're working with Ströer on this exciting opportunity. Join a dynamic team developing innovative digital solutions for leading news and content platforms, shaping the future of digital publishing.
The Role
Design and develop ETL/ELT processes for efficient data processing and analysis
Build and maintain real-time data pipelines supporting data-driven products
Develop interfaces for external systems and integrate new data sources (e.g., REST APIs, Google Analytics)
Automate test and deployment processes for data models and ML applications
Manage and ensure high availability of Big Data and streaming infrastructure components
Contribute to the development and integration of Machine Learning models for personalization
What You'll Need
3+ years of experience as a Data Engineer or in interface development and data integration
Strong knowledge of ETL/ELT, SQL (PostgreSQL), NoSQL, and workflow management (e.g., Airflow)
Extensive experience with BigQuery, Google Analytics 4 (GA4), and real-time tracking technologies
Familiarity with Big Data, streaming technologies (e.g., ClickHouse, Kinesis), and personalization
Experience training and deploying Machine Learning models
Proficiency with Infrastructure-as-Code (Terraform ideal) and Linux systems
Excellent analytical skills, problem-solving abilities, and communication
What's On Offer
Flexible work arrangements, including hybrid options and home office
Opportunities for professional and personal development
Diverse benefits including subsidized meals and exclusive discounts
A supportive and communicative team culture with a focus on equality
Apply via Haystack today!