Senior Data Engineer

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

📋 Description

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

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

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

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

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

• Develop ETL/ELT workflows that convert raw programmatic data into datasets ready for analytics.

• Build data models focused on yield optimization, floor price assessments, and performance of demand partners.

• Create and manage data warehouses and lakes that are optimized for ad-tech queries.

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

• Assist BI and analytics teams by providing clean, documented, and high-performance data infrastructure.

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

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

⛳️ Requirements

• Minimum of 5 years of professional experience in data engineering.

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

• Strong skills in Python and SQL.

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

• Hands-on experience with data warehouses including BigQuery, Snowflake, Redshift, or ClickHouse.

• Familiarity with batch processing frameworks such as Spark, dbt, or Airflow.

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

• Experience with cloud platforms, specifically 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.

• Understanding of Prebid Analytics adapters and bid stream data.

• Knowledge of mobile measurement platforms such as AppsFlyer, Adjust, or Kochava.

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

🏝️ Benefits

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

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

• Legal assistance regarding independent contractor or sole proprietorship status, 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 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.