Senior Data Engineer

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

📋 Description

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

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

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

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

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

• Develop 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 assessment.

• Establish and maintain data warehouses and lakes tailored to ad-tech query patterns.

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

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

• Ensure compliance with GDPR and CCPA in all facets of data collection, storage, and processing.

• Collaborate with a high-performing, modern international engineering team.

⛳️ Requirements

• Over 5 years of professional experience in data engineering.

• More than 2 years of experience in programmatic advertising or ad-tech data.

• Strong expertise in 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.

• Knowledge of batch processing frameworks including Spark, dbt, and Airflow.

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

• Proficiency with AWS and GCP cloud platforms.

• Experience with infrastructure-as-code practices.

• Familiarity with SSP reporting APIs and log-level data sources such as Magnite, PubMatic, Index Exchange, and Xandr.

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

• Acquainted with Prebid Analytics adapters and bid stream data.

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

• Understanding of RTB log files and auction data.

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

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

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

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

🏝️ Benefits

• Security through carefully vetted clients and consistent, timely payments.

• Support for career growth and assistance in finding new opportunities.

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

• English language courses available.

• Opportunities for professional development.

• Team-building events to foster collaboration.

• Flexible working hours to promote work-life balance.

• 29 days of paid time off (18 working days annually 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 for all team members.