Senior Data Engineer

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

📋 Description

• Design, construct, and improve scalable data pipelines for ad servers and related data sources.

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

• Develop ETL/ELT workflows to convert raw data into analytics-ready datasets.

• Create data models aimed at optimizing campaign performance, supply analysis, supply allocations, and profit maximization.

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

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

• Assist Executive, BI, and analytics teams with clean, well-documented, and high-performing data infrastructure.

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

• Process large volumes of ad server, CRM, and ancillary data to support real-time analytics.

• Develop systems that enable dashboards for campaign optimization, workflow management, efficiency, and growth.

⛳️ Requirements

• Over 5 years of professional experience in data engineering.

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

• Strong expertise in Python and SQL.

• Practical experience with data warehouses: BigQuery, Snowflake, Redshift, ClickHouse.

• Familiarity with batch processing frameworks: Spark, dbt, Airflow.

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

• Experience with cloud platforms: AWS, GCP.

• Proficient in infrastructure-as-code.

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

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

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

• Familiarity with revenue metrics: CPM, eCPM, RPM, fill rate, win rate, bid density.

• Understanding of auction analytics: bid landscape, floor optimization, timeout analysis.

• Knowledge of demand partner performance metrics: SSP/bidder scoring, latency analysis, viewability, reach/frequency, IVT.

• Understanding of supply chain data: ads.txt validation, sellers.json mapping, SPO analysis.

• Experience with technologies like Apache Spark, dbt, Apache Flink, Airflow, Dagster, Prefect, S3, GCS, Delta Lake, Parquet, AWS, GCP, Terraform, Kubernetes.

• Scala experience is a plus.

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

• Background in developing data products for publisher-side monetization is a plus.

• Familiarity with differential privacy and clean rooms is a plus.

• Experience with CTV/OTT advertising data and video ad metrics is a plus.

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

🏝️ Benefits

• Security provided through client vetting to reduce risks and ensure timely, reliable payments.

• Career support and assistance in securing new projects.

• 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 plus all national holidays).

• 10 paid recovery days.

• Comprehensive financial and legal support for independent contractors.

• Free English classes with native speakers or Ukrainian teachers.

• Dedicated HR support.