Senior Data Engineer

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

📋 Description

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

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

• Collaborate with a dynamic and high-achieving international engineering team.

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

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

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

• Construct ETL/ELT workflows that transform raw programmatic data into datasets ready for analytics.

• Design data models aimed at yield optimization, floor-price examination, and performance evaluation of demand partners.

• Build and uphold data warehouses and data lakes that are optimized for ad-tech query requirements.

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

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

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

⛳️ 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 skills in Python and SQL.

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

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

• Familiarity with batch processing frameworks including 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, including Magnite, PubMatic, Index Exchange, and Xandr.

• Understanding of Google Ad Manager reporting, Data Transfer files, and BigQuery exports.

• Familiarity with Prebid Analytics adapters and bid stream data.

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

• Familiarity with RTB 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.

• Familiarity with demand partner performance metrics, SSP/bidder scoring, and latency analysis.

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

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

• Nice to have: background in creating 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: knowledge of identity resolution and cross-device data challenges.

🏝️ Benefits

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

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

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

• English language courses.

• Opportunities for professional growth.

• 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.