Senior Data Engineer

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

📋 Description

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

• Manage the complete development lifecycle from architecture through to deployment.

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

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

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

• Design ETL/ELT workflows that transform raw programmatic data into datasets ready for analytics.

• Construct data models aimed at yield optimization, floor price assessment, and demand partner performance.

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

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

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

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

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

• 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.

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

• Experience with cloud platforms like AWS and GCP.

• Knowledge of infrastructure-as-code practices.

• Familiarity with SSP reporting APIs and log-level data, including 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.

• Familiarity with mobile measurement platforms such as AppsFlyer, Adjust, and Kochava.

• Experience with real-time bidding 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: knowledge of differential privacy and clean rooms.

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

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

🏝️ Benefits

• Security ensured through thorough client vetting and prompt, reliable payments.

• Career support and assistance in identifying new opportunities.

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

• English language courses available.

• Opportunities for professional growth.

• Team-building activities and events.

• Flexible working hours to accommodate personal schedules.

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

• 10 paid sick days provided.

• Comprehensive financial and legal support for independent contractors.

• Free English classes conducted by native speakers or Ukrainian instructors.

• Dedicated HR support for all staff.