Senior Data Engineer

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

📋 Description

• Design, construct, and enhance scalable data pipelines for processing ad server and related data.

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

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

• Create data models aimed at optimizing campaign performance, analyzing supply, managing supply allocations, and maximizing profit.

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

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

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

• Ensure compliance with GDPR and CCPA in the processes of data collection, storage, and processing.

• Process large volumes of data and billions of events to enable real-time analytics and dashboards.

⛳️ Requirements

• Over 5 years of professional experience in data engineering.

• At least 2 years of experience in programmatic advertising and ad-tech data (GAM).

• Strong command of Python and SQL.

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

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

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

• Experience with cloud platforms (AWS, GCP) and infrastructure-as-code.

• Ability to work partial US hours, available until 2 PM ET.

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

• Proficient in Google Ad Manager reporting, Data Transfer files, and BigQuery exports.

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

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

• Familiarity with demand partner performance metrics such as SSP/bidder scoring, latency analysis, viewability metrics, reach/frequency, and IVT.

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

• Experience with Python and SQL; Scala experience is a plus.

• Preferred experience in ML feature engineering for bid optimization or yield prediction.

• Nice-to-have background in publisher-side monetization data products.

• Familiarity with differential privacy and clean rooms is a plus.

• Nice-to-have experience with CTV/OTT advertising data and video ad metrics.

• Knowledge of identity resolution and challenges related to cross-device data is advantageous.

🏝️ Benefits

• Career support and assistance in discovering new opportunities.

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

• English language courses.

• Opportunities for professional growth.

• Team-building events.

• Security through vetted clients, ensuring reliable and timely payments.

• Flexible working hours.

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

• 10 paid recovery days.

• Comprehensive financial and legal support for independent contractors.

• Free English classes with native speakers or Ukrainian instructors.

• Dedicated HR support.