Senior Data Engineer

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

📋 Description

• Construct and enhance data infrastructure that drives a business intelligence platform.

• Design, maintain, and improve pipelines that process billions of ad server, CRM, and related data events.

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

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

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

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

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

• Provide clean, well-documented, and efficient data infrastructure to Executive, BI, and analytics teams.

• Ensure compliance with GDPR and CCPA in the processes of data collection, storage, and handling.

• Enable real-time analytics and dashboards that assist customers in optimizing campaigns, managing workflows, and enhancing efficiency and growth.

⛳️ Requirements

• Over 5 years of professional experience in data engineering.

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

• Strong expertise 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, specifically AWS and GCP.

• Proficiency in infrastructure-as-code.

• Availability for partial US work hours, with a presence until 2pm ET.

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

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

• Understanding of revenue metrics such as CPM, eCPM, RPM, fill rate, win rate, and bid density.

• Familiarity with auction analytics including bid landscape, floor optimization, and timeout analysis.

• Understanding of demand partner performance metrics such as SSP/bidder scoring, latency analysis, viewability metrics, reach/frequency, and IVT.

• Knowledge of supply chain data, including ads.txt validation, sellers.json mapping, and SPO analysis.

• Proficient in Python and SQL; knowledge of Scala is a plus.

• Familiar with Apache Spark, dbt, and Apache Flink.

• Knowledgeable in BigQuery, Snowflake, ClickHouse, and Redshift.

• Familiar with Airflow, Dagster, and Prefect.

• Knowledge of S3, GCS, Delta Lake, and Parquet.

• Familiarity with AWS, GCP, Terraform, and Kubernetes.

• Experience with 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 privacy-preserving data techniques 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 through thorough client vetting to reduce risks and ensure reliable, timely payments.

• Career support and assistance in finding new project opportunities.

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

• English language courses.

• Opportunities for professional growth.

• Team-building events.

• Flexible working hours.

• 29 days of PTO (18 working days per year plus all national holidays).

• 10 paid recovery days.

• Comprehensive financial and legal support for independent contractors.

• Complimentary English classes with native speakers or Ukrainian instructors.

• Dedicated HR support.