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Mid-level metro role with common Data Engineer title but requires niche ad-tech experience, moderate applicant density.
Core data engineering skills transfer, but required programmatic advertising experience increases domain specificity.
Multiple mandatory filters: 5+ years, ad-tech domain expertise, and strong Python/SQL requirements.
Design, develop, and maintain scalable data pipelines and ETL processes for programmatic advertising reporting within the data platform.
Own data QA and reconciliation processes to ensure accuracy between data pipelines and reporting interfaces.
Collaborate closely with commercial stakeholders and data teams to align data solutions with business objectives and optimize data architecture.
5+ years of hands-on experience as a Data Engineer building scalable data pipelines across event-driven, scheduled, and streaming architectures.
Proven commercial experience in programmatic advertising/ad tech with hands-on exposure to ad-serving and exchange ecosystem (ad servers, SSPs, DSPs).
Strong hands-on expertise in Python and SQL for data transformation, performance optimization, and workflow automation.
Experience working with Medallion Architecture (Bronze/Silver/Gold) and relational databases (PostgreSQL, SQL Server, Oracle).
Experience in news or media publishing environments with familiarity of commercial and editorial business context.
Technical operating style focused on strong data modelling and supporting BI/reporting teams (Power BI, Looker, Tableau).
Comfortable working independently in complex multi-cloud or distributed data environments with minimal support.