Senior Data Engineer

This is a fully remote position, open to applicants in Bosnia and Herzegovina.

📋 Description

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

• Take full responsibility for the entire development lifecycle, from architecture to deployment.

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

• Ingest and normalize data from SSPs, DSPs, Google Ad Manager, and third-party reporting APIs.

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

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

• Construct data models for yield optimization, floor-price analysis, and demand-partner performance evaluation.

• Establish and manage data warehouses and lakes optimized for ad-tech query patterns.

• Implement data quality monitoring, validation, and anomaly detection for 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 regard to data collection, storage, and processing.

• Collaborate with a modern engineering team in a global, product-centric environment.

⛳️ Requirements

• A minimum of 5 years of professional experience in data engineering.

• At least 2 years of experience working with programmatic advertising or ad-tech data.

• Strong skills in Python and SQL.

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

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

• Knowledge of batch processing frameworks like Spark, dbt, or Airflow.

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

• Experience with cloud platforms such as AWS and GCP.

• Proficiency in infrastructure-as-code practices.

• Familiar with 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.

• Knowledge of Prebid Analytics adapters and bid stream data.

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

• Experience with RTB log files and auction data.

• A plus: experience with ML feature engineering for bid optimization or yield prediction.

• A plus: background in developing data products for publisher-side monetization.

• A plus: understanding of differential privacy and clean rooms.

• A plus: experience with CTV/OTT advertising data and video ad metrics.

• A plus: knowledge of identity resolution and cross-device data challenges.

🏝️ Benefits

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

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

• Legal assistance for independent contractors or sole proprietorship status, taxes, and related processes.

• Access to English language courses.

• Opportunities for professional growth.

• Team-building events.

• 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.