Senior Data Engineer

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

📋 Description

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

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

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

• Ingest and standardize data from SSPs, DSPs, Google Ad Manager, and various third-party reporting APIs.

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

• Create ETL/ELT workflows to convert raw programmatic data into analytics-ready datasets.

• Develop data models aimed at yield optimization, floor price analysis, and performance evaluation of demand partners.

• Build and manage data warehouses and data lakes tailored for 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, well-documented, and efficient data infrastructure.

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

• Collaborate with a cutting-edge engineering team and the client’s team in a global context.

⛳️ 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 programming languages.

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

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

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

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

• Experience with cloud platforms such as AWS and GCP.

• Proficiency in infrastructure-as-code practices.

• Understanding of SSP reporting APIs and log-level data, including Magnite, PubMatic, Index Exchange, and Xandr.

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

• Knowledge of Prebid Analytics adapters and bid stream data.

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

• Experience handling real-time bidding log files and auction data.

🏝️ Benefits

• Assurance through meticulous client vetting to reduce risks and guarantee reliable, timely payments.

• Career assistance and support in finding new opportunities if a project does not align with your skills.

• Legal guidance on independent contractor or sole proprietorship status, tax matters, and related processes.

• Access to English language courses.

• Opportunities for professional development and career advancement.

• Participation in team-building events.

• Flexible working hours to accommodate personal schedules.

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

• 10 paid sick days for health-related absences.

• Comprehensive financial and legal support for independent contractors.

• Complimentary English classes with native speakers or Ukrainian instructors.

• Dedicated HR support for all your needs.