Senior Data Engineer

This is a fully remote position, open to applicants in Ukraine.

📋 Description

• Design and construct high-performance systems that process millions of ad transactions in real-time.

• Take charge of the complete development lifecycle, from architecture to deployment.

• Create and develop scalable data pipelines for bid streams, impressions, and revenue data.

• Ingest and standardize data from SSPs, DSPs, Google Ad Manager, and various third-party reporting APIs.

• Develop real-time and batch processing systems for auction analytics, win rate evaluation, and bid landscape modeling.

• Design ETL/ELT workflows that convert raw programmatic data into analytics-ready datasets.

• Construct data models aimed at yield optimization, floor price assessment, and demand partner performance evaluation.

• Establish and maintain data warehouses and lakes tailored for ad-tech query patterns.

• Implement monitoring, validation, and anomaly detection for data quality across programmatic data streams.

• Assist BI and analytics teams by providing clean, well-documented, and efficient data infrastructure.

• Ensure compliance with GDPR and CCPA in data collection, storage, and processing practices.

• Work collaboratively with a modern, high-performing engineering team alongside the client team in an international setting.

⛳️ Requirements

• Over 5 years of professional experience in data engineering.

• More than 2 years of experience working with programmatic advertising or ad-tech data.

• Strong expertise in Python and SQL.

• Familiarity with streaming data platforms such as Kafka, Kinesis, and Pub/Sub.

• Practical experience with data warehouses including BigQuery, Snowflake, Redshift, and ClickHouse.

• Experience in batch processing frameworks like Spark, dbt, and Airflow.

• Understanding of ad-tech data formats such as bid requests, impressions, OpenRTB schemas, and log-level data.

• Proficient with cloud platforms like AWS and GCP.

• Experience with infrastructure as code.

• Knowledge of SSP reporting APIs and log-level data, including Magnite, PubMatic, Index Exchange, and Xandr.

• Familiarity with Google Ad Manager reporting, Data Transfer files, and BigQuery exports.

• Understanding of Prebid Analytics adapters and bid stream data.

• Familiarity with mobile measurement platforms such as AppsFlyer, Adjust, and Kochava.

• Experience with real-time bidding log files and auction data.

• Nice to have: experience in ML feature engineering for bid optimization or yield prediction.

• Nice to have: a background in developing data products for publisher-side monetization.

• Nice to have: knowledge of privacy-preserving data techniques, including differential privacy and clean rooms.

• Nice to have: experience with CTV/OTT advertising data and video ad metrics.

• Nice to have: understanding of identity resolution and cross-device data challenges.

🏝️ Benefits

• Security ensured through thorough client vetting and dependable, timely payments.

• Career support and guidance in identifying new opportunities.

• Legal assistance concerning independent contractor or sole proprietorship status, taxes, and related processes.

• English language courses available.

• Opportunities for professional development.

• Team-building activities.

• Flexible working hours.

• 29 days of paid time off (18 working days per year plus all national holidays).

• 10 paid sick days.

• Comprehensive financial and legal support for independent contractors.

• Free English classes with native speakers or Ukrainian educators.

• Dedicated HR support.