Job Description, Responsibilities & Requirements
About the Position
We are looking for a Senior Data Engineer to join our engineering team and help shape the future of programmatic advertising. You'll architect and build high-performance systems that process millions of ad transactions in real time, while leveraging cutting-edge AI technologies to optimize outcomes for our partners.
About The Company
MWDN is an international recruitment and outstaffing company with 23+ years of experience connecting exceptional tech talent with leading companies across Israel, the USA, Great Britain, and Western Europe. In this role, MWDN acts as the recruitment partner, and the selected candidate will work directly with the client’s team on their product in an international environment.
Responsibilities
- Design and build scalable data pipelines for processing bid stream, impression, and revenue data from programmatic sources
- Ingest and normalize data from multiple SSPs, DSPs, ad servers (GAM), and third-party reporting APIs
- Build real-time and batch processing systems for auction analytics, win rate analysis, and bid landscape modeling
- Develop ETL/ELT workflows to transform raw programmatic data into analytics-ready datasets
- Create data models for yield optimization, floor price analysis, and demand partner performance
- Build and maintain data warehouses and lakes optimized for ad-tech query patterns
- Implement data quality monitoring, validation, and anomaly detection for programmatic data streams
- Support BI and analytics teams with clean, documented, and performant data infrastructure
- Ensure data privacy compliance (GDPR, CCPA) in data collection, storage, and processing
Requirements
- 5+ years of professional data engineering experience
- 2+ years working with programmatic advertising or ad-tech data
- Strong proficiency in Python and SQL
- Experience with streaming data platforms (Kafka, Kinesis, Pub/Sub)
- Hands-on experience with data warehouses (BigQuery, Snowflake, Redshift, ClickHouse)
- Experience with batch processing frameworks (Spark, dbt, Airflow)
- Understanding of ad-tech data structures: bid requests, impressions, OpenRTB schemas, log-level data
- Experience with cloud platforms (AWS, GCP) and infrastructure-as-code
Nice to Have
- Experience with ML feature engineering for bid optimization or yield prediction
- Background in building data products for publisher-side monetization
- Familiarity with privacy-preserving data techniques (differential privacy, clean rooms)
- Experience with CTV/OTT advertising data and video ad metrics
- Knowledge of identity resolution and cross-device data challenges
We Offer
- People-first management with minimal bureaucracy
- A friendly company culture, proven by employees who choose to return
- Flexible working hours
- 29 days of PTO (18 working days per year plus all national holidays)
- 10 paid sick days
- Full financial and legal support for independent contractors
- Free English classes, with native speakers or Ukrainian teachers
- Dedicated HR support
Our Next Steps
✅ Intro call with a Recruiter - ✅ Tech interview - ✅ Home assignment - ✅ Final client interview - ✅ Offer