Senior Data Engineer

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

📋 Description

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

• Utilize AI technologies to enhance results for advertising partners.

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

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

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

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

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

• Generate data models for yield optimization, floor price assessment, and demand partner performance.

• Build and manage data warehouses and lakes tailored for ad-tech query patterns.

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

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

• Guarantee compliance with GDPR and CCPA in data collection, storage, and processing.

• Collaborate with a modern, high-performing engineering team within an international context.

⛳️ Requirements

• Over 5 years of professional experience in data engineering.

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

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

• Experience with cloud platforms, specifically AWS and GCP.

• Knowledge in infrastructure-as-code practices.

• Familiarity with SSP reporting APIs and log-level data from providers 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, 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 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: knowledge of identity resolution and cross-device data challenges.

🏝️ Benefits

• Security through thorough client vetting and dependable, timely payments.

• Career support and assistance in identifying new opportunities.

• Legal support for independent contractor or sole proprietorship status, taxes, and related processes.

• English language courses.

• Opportunities for professional growth.

• Team-building activities.

• Flexible working hours.

• 29 days of paid time off (18 working days per year in addition to 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.