דרושים Data Engineer בתל אביב

Schemathics is a leader in AI-powered performance marketing, operating across 25+ verticals with unmatched precision, speed, and scale. Our proprietary technology stack integrates seamlessly with major media platforms, enabling real-time event-level data exchange, optimization, and attribution.

At the core of our operation is a deep commitment to AI-driven decision-making. From real-time bidding engines and predictive lead scoring to campaign automation and anomaly detection, our in-house AI models are central to how we scale campaigns, reduce inefficiencies, and outperform market benchmarks.

We’ve built and continue to evolve a robust internal platform to empower media buyers, analysts, and operators with real-time alerts, smart recommendations, and semi-autonomous optimization tools.

Role Summary

Builds high-performance, reliable data systems, including real-time pipelines, tracking,

and Feature Store foundations — enabling both analytics and ML production.

Minimum Requirements (Must Have)

● Strong software engineering fundamentals (clean code, testing, system design)

● Proven experience building real-time, low-latency data services

● Experience operating in production at scale (high throughput, distributed systems)

● Strong background with modern data stack (e.g., Kafka/Kinesis, Spark/Flink/Beam,

Snowflake/BigQuery/Redshift)

● Ability to design schemas, ingestion flows, and data quality frameworks

● Experience collaborating with ML teams on feature availability and consistency

Preferred Qualifications (Nice to Have)

● Experience supporting ML systems (feature serving, online/offline consistency)

● Production experience with model inference pipelines

● Strong DevOps experience (Docker, Kubernetes, CI/CD)

● Experience with cloud-native architectures (AWS/GCP)

• ● Experience implementing data observability / lineage frameworks