Senior Data Engineer

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

📋 Description

• Design and develop high-performance systems capable of processing millions of ad transactions in real time.

• Take ownership of the entire development lifecycle, from architecture to deployment.

• Create and construct scalable data pipelines for bid stream, impression, and revenue data sourced from programmatic platforms.

• Ingest and standardize data from various SSPs, DSPs, ad servers, and third-party reporting APIs.

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

• Build ETL/ELT workflows to transform raw programmatic data into datasets ready for analytics.

• Design data models focused on yield optimization, floor price assessment, and evaluating demand partner performance.

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

• Implement monitoring, validation, and anomaly detection to ensure data quality in programmatic data streams.

• Provide support to BI and analytics teams with clean, documented, and efficient data infrastructure.

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

• Collaborate with a modern, high-performing international engineering team as well as client teams.

⛳️ 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.

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

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

• Familiarity with batch processing frameworks like Spark, dbt, and Airflow.

• Understanding of ad-tech data structures, including bid requests, impressions, OpenRTB schemas, and log-level data.

• Experience with cloud platforms like AWS and GCP.

• Knowledge of infrastructure-as-code practices.

• Familiarity with SSP reporting APIs and log-level data from providers like Magnite, PubMatic, Index Exchange, and Xandr.

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

• Familiarity with Prebid Analytics adapters and bid stream data.

• Knowledge of mobile measurement platforms such as AppsFlyer, Adjust, and Kochava.

• Experience working 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: background in developing data products for publisher-side monetization.

• Nice to have: familiarity with 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 through thorough client vetting to minimize risks and ensure reliable and timely payments.

• Career support and assistance in finding new opportunities if a project does not align with your skills.

• Legal assistance for establishing and managing independent contractor or sole proprietorship status, taxes, and related processes.

• Access to English language courses.

• Opportunities for professional growth.

• Participation in team-building events.

• Flexible working hours.

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

• 10 paid sick days.

• Comprehensive financial and legal support for independent contractors.

• Free English classes with native speakers or Ukrainian instructors.

• Dedicated HR support.