Senior Data Engineer

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

📋 Description

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

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

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

• Create ETL/ELT workflows to convert raw programmatic data into datasets ready for analytics.

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

• Build and sustain data warehouses and lakes that are optimized for advertising technology query patterns.

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

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

• Guarantee compliance with GDPR and CCPA regarding data collection, storage, and processing practices.

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

• Manage the entire development lifecycle from architecture to deployment.

• Collaborate with a modern, high-performing engineering team.

⛳️ Requirements

• Over 5 years of professional experience in data engineering.

• More than 2 years in the programmatic advertising or ad-tech data sector.

• 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.

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

• Experience with cloud services such as AWS and GCP.

• Proficiency in infrastructure-as-code practices.

• Understanding of SSP reporting APIs and log-level data, including 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 like AppsFlyer, Adjust, and Kochava.

• Experience with RTB log files and auction data.

• Understanding of revenue metrics, including CPM, eCPM, RPM, fill rate, win rate, and bid density.

• Knowledge of auction analytics such as bid landscape, floor optimization, and timeout analysis.

• Awareness of demand partner performance metrics, including SSP/bidder scoring and latency analysis.

• Understanding of supply chain data, encompassing ads.txt validation, sellers.json mapping, and SPO analysis.

🏝️ Benefits

• Security through client vetting to reduce risks and ensure reliable, timely payments.

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

• Legal support for independent contractors or sole proprietorships, taxes, and related processes.

• English language courses.

• 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 instructors.

• Dedicated HR support.