Senior Data Engineer

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

📋 Description

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

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

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

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

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

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

• Generate data models aimed at yield optimization, floor price analysis, and evaluating demand partner performance.

• Construct and manage data warehouses and lakes that are optimized for ad-tech query patterns.

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

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

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

• Collaborate within a modern, high-performing engineering team in an international setting.

⛳️ Requirements

• A 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 expertise in Python and SQL.

• Familiarity with streaming data platforms, including Kafka, Kinesis, and Pub/Sub.

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

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

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

• Proficiency with cloud platforms like AWS and GCP.

• Experience with infrastructure-as-code practices.

• Knowledge of SSP reporting APIs and log-level data from sources like Magnite, PubMatic, Index Exchange, and Xandr.

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

• Understanding of Prebid Analytics adapters and bid stream data.

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

• Familiarity with real-time bidding log files and auction data.

🏝️ Benefits

• Security through a careful selection of clients and reliable, prompt payments.

• Career support and help in finding new opportunities.

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

• Opportunities for English language courses.

• Options for professional growth.

• Team-building activities.

• 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.