Senior Data Engineer

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

📋 Description

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

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

• Develop and implement scalable pipelines for bid stream, impression, and revenue data.

• Ingest and normalize data from SSPs, DSPs, ad servers, and third-party reporting APIs.

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

• Formulate ETL/ELT workflows that transform raw programmatic data into analytics-ready datasets.

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

• Build and sustain data warehouses and data lakes that are 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 regarding data collection, storage, and processing.

• Collaborate with a cutting-edge engineering team in a global, product-oriented environment.

⛳️ Requirements

• Over 5 years of professional experience in data engineering.

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

• Strong skills in Python and SQL.

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

• Proficient with data warehouses including 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 such as AWS and GCP.

• Knowledge of infrastructure-as-code practices.

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

• Experience with Google Ad Manager reporting, Data Transfer files, and BigQuery exports.

• Awareness 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.

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

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

• Nice to have: familiarity with differential privacy and clean rooms.

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

• Nice to have: knowledge of identity resolution and cross-device data challenges.

🏝️ Benefits

• Security through client vetting and reliable, timely payments.

• Career support and assistance in finding new opportunities.

• Legal assistance for independent contractors or sole proprietorships concerning taxes and related processes.

• English language courses.

• Opportunities for professional growth.

• Team-building events.

• Flexible working hours.

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

• 10 paid sick days.

• Comprehensive financial and legal support for independent contractors.

• Free English classes with native speakers or Ukrainian teachers.

• Dedicated HR support.