Senior Data Engineer

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

📋 Description

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

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

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

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

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

• Construct ETL/ELT workflows that convert raw programmatic data into analytics-ready datasets.

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

• Build and maintain 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, performant data infrastructure.

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

• Collaborate with a modern engineering team within an international, product-focused environment.

⛳️ Requirements

• Over 5 years of professional experience in data engineering.

• More than 2 years of experience working with 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, including BigQuery, Snowflake, Redshift, and ClickHouse.

• Proficiency in 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 from sources like Magnite, PubMatic, Index Exchange, and Xandr.

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

• Acquaintance with Prebid Analytics adapters and bid stream data.

• Understanding of mobile measurement platforms, including AppsFlyer, Adjust, and Kochava.

• Experience with RTB log files and auction data.

• Familiarity with programmatic advertising revenue and auction metrics.

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

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

• Nice to have: knowledge of privacy-preserving data techniques, including differential privacy and clean rooms.

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

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

🏝️ Benefits

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

• Career support and assistance in discovering new opportunities.

• Legal guidance for independent contractors or sole proprietorship status, taxes, and associated processes.

• English language courses.

• Opportunities for professional growth.

• Team-building events.

• Flexible working hours.

• 29 days of PTO (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.