About The Position
MWDN is a global IT outstaffing company with 23+ years of experience that connects exceptional tech talent with leading companies across Israel, the USA, Great Britain, and Western Europe. We offer opportunities to work on international products in a stable and professional environment.
Why does MWDN rock?
Here’s what you can expect when you join MWDN:
Security: We carefully vet our clients to minimize risks and ensure reliability and timely payments — no fraud or unpleasant surprises.
Career support: If a project isn’t the right fit, we support you and actively help find new opportunities that match your skills and career goals.
Legal assistance: We provide guidance on legal matters, including opening and managing your independent contractor or sole proprietorship status, taxes, and related processes.
Professional development: We offer English courses and professional growth opportunities, as well as team-building events.
Why choose us? MWDN is ranked among the top 5 IT employers in our region according to DOU. We take pride in our transparency and strong commitment to our team. Curious to learn more? See what our employees say about working with us on DOU.
What is your new project?
Domain: Data Infrastructure & Analytics / AdTech
Client Location: Israel
Company size: 11–50
Founded in: 2025
A fast‑growing ad‑tech company building next‑generation programmatic advertising infrastructure. The team focuses on high‑performance systems, real‑time bidding, and AI‑driven optimization. The environment is fast, product‑focused, and highly collaborative, with strong engineering leadership and a culture of ownership.
What makes you a great fit:
5+ years of professional data engineering experience
2+ years working with 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
Your day-to-day in this position:
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-read 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
Why work with us?
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 pluse all national holidays)
10 paid sick days
Free English classes, with native speakers or Ukrainian teachers
Dedicated HR support
✅ Intro with the client — ✅ Tech interview — ✅ Home assignment — ✅ Final client interview
