Senior Data Engineer

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

📋 Description

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

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

• Create and implement scalable pipelines for bid stream, impression, and revenue data.

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

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

• Construct ETL/ELT workflows that convert raw programmatic data into datasets ready for analysis.

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

• Build and maintain data warehouses and lakes that are optimized for ad-tech query patterns.

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

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

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

• Collaborate with a modern engineering team in an international, product-focused setting.

⛳️ Requirements

• Over 5 years of professional experience in data engineering.

• At least 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.

• Hands-on experience with data warehouses including BigQuery, Snowflake, Redshift, and ClickHouse.

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

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

• Experience with cloud platforms including AWS and GCP.

• Familiarity with infrastructure-as-code methodologies.

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

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

• Familiarity with Prebid Analytics adapters and bid stream data.

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

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

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

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

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

• Familiarity with supply chain data including ads.txt validation, sellers.json mapping, and SPO analysis.

🏝️ Benefits

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

• Career support and assistance in finding new opportunities if a project isn't the right fit.

• Legal support for independent contractor or sole proprietorship status, taxes, and related processes.

• Opportunities for professional development and English language courses.

• Team-building events to foster collaboration and camaraderie.

• Flexible working hours to accommodate personal needs.

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

• 10 paid sick days to ensure well-being.

• Comprehensive financial and legal support for independent contractors.

• Free English classes with native speakers or Ukrainian instructors.

• Dedicated HR support for all employees.