Senior Data Engineer

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

📋 Description

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

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

• Create and construct scalable pipelines for bid streams, impressions, and revenue data sourced from programmatic channels.

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

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

• Build ETL/ELT workflows that convert raw programmatic data into datasets ready for analysis.

• Construct data models for yield optimization, floor-price analysis, and performance assessment of demand partners.

• Establish and maintain data warehouses and data lakes tailored for ad-tech query requirements.

• Implement monitoring, validation, and anomaly detection measures for programmatic data streams to ensure data quality.

• Provide clean, well-documented, and efficient data infrastructure to support BI and analytics teams.

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

• Collaborate with a high-achieving international engineering team within a product-centric environment.

⛳️ Requirements

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

• At least 2 years of experience 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.

• Knowledge of 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 services such as AWS and GCP.

• Proficient in infrastructure-as-code methodologies.

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

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

• Knowledge of Prebid Analytics adapters and bid stream data.

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

• Experience with RTB log files and auction-related data.

• 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: familiarity with 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 thorough client vetting and timely, reliable payments.

• Career support and assistance in finding new opportunities if a project isn't the right match.

• Legal assistance regarding independent contractor or sole proprietorship status, taxes, and related processes.

• Opportunities for English courses and professional growth.

• Team-building events to foster collaboration.

• Flexible working hours to accommodate personal schedules.

• 29 days of PTO (18 working days per year plus all national holidays).

• 10 paid sick days for personal health needs.

• Comprehensive financial and legal support for independent contractors.

• Free English classes with native speakers or Ukrainian instructors.

• Dedicated HR support for all team members.