Senior Data Engineer

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

📋 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 through to deployment.

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

• Ingest and standardize data from SSPs, DSPs, and ad servers like Google Ad Manager, as well as third-party reporting APIs.

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

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

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

• Build and manage data warehouses and lakes tailored for ad-tech query patterns.

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

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

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

• Collaborate with a contemporary, high-performing engineering team in an international 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 command of Python and SQL.

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

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

• Experience using batch processing frameworks including Spark, dbt, and Airflow.

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

• Experience with cloud services: AWS and GCP.

• Proficiency in infrastructure-as-code practices.

• Familiar with SSP reporting APIs and log-level data from sources 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.

• Understanding of RTB log files and auction data.

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

• Nice to have: 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 through thorough client vetting to reduce risks and ensure reliability and timely payments.

• Career support and assistance in finding new opportunities if a project isn’t a perfect match.

• Legal guidance 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.