Senior Data Engineer

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

📋 Description

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

• Manage the entire development lifecycle from architecture design through to deployment.

• Create scalable pipelines for bid streams, impressions, and revenue data.

• Ingest and standardize data from SSPs, DSPs, ad servers, and external reporting APIs.

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

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

• Create data models focused on yield optimization, floor-price assessment, and demand-partner performance evaluation.

• Build and sustain data warehouses and lakes tailored for ad-tech query requirements.

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

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

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

• Collaborate with a modern international engineering team and clients.

⛳️ Requirements

• Over 5 years of professional experience in data engineering.

• A minimum of 2 years working with programmatic advertising or ad-tech data.

• Strong expertise in Python and SQL.

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

• Practical experience with data warehouses like 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 such as 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.

• 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.

• Experience working with RTB log files and auction data.

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

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

• Understanding 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.

• Experience with ML feature engineering for bid optimization or yield prediction is a plus.

• Background in developing data products for publisher-side monetization is advantageous.

• Familiarity with privacy-preserving data techniques is beneficial.

• Experience with CTV/OTT advertising data and video ad metrics is a plus.

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

🏝️ Benefits

• Legal support for establishing and managing independent contractor or sole proprietorship status, taxes, and related processes.

• Opportunities for professional growth and English language courses.

• Team-building activities and 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.