Senior Data Engineer

This is a fully remote position, open to applicants in Bosnia and Herzegovina.

📋 Description

• Design, develop, and enhance scalable data pipelines for ad servers and related data sources.

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

• Create ETL/ELT workflows to convert raw data into datasets that are ready for analytics.

• Develop data models aimed at optimizing campaign performance, analyzing supply, managing supply allocations, and maximizing profits.

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

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

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

• Ensure compliance with GDPR and CCPA regulations concerning data collection, storage, and processing.

• Work on the data infrastructure that supports real-time analytics and dashboards for campaign optimization, workflow management, efficiency, and growth.

⛳️ Requirements

• Over 5 years of professional experience in data engineering.

• At least 2 years of experience in programmatic advertising and ad-tech data (GAM).

• Strong skills in Python and SQL.

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

• Familiarity 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.

• Experience with cloud platforms such as AWS and GCP.

• Knowledge of infrastructure-as-code principles.

• 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.

• Ability to work partial US hours and be available until 2 PM ET.

• Knowledge of revenue metrics, including CPM, eCPM, RPM, fill rate, win rate, and bid density.

• Understanding of auction analytics, demand partner performance, supply chain data, and related ad-tech metrics.

• Proficiency in Scala is a plus.

• Experience with ML feature engineering for bid optimization or yield prediction is a plus.

• Background in publisher-side monetization data products is advantageous.

• Familiarity with privacy-preserving data techniques is beneficial.

• Experience in CTV/OTT advertising data is a plus.

• Knowledge of identity resolution and cross-device data challenges is advantageous.

🏝️ Benefits

• Security through thorough client vetting processes to minimize risks and ensure reliable and timely payments.

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

• Legal assistance with independent contractor or sole proprietorship status, tax matters, 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 in addition to all national holidays).

• 10 paid recovery days.

• Comprehensive financial and legal support for independent contractors.

• Free English classes with native speakers or Ukrainian instructors.

• Dedicated HR support.