zetaglobal · Copenhagen, Denmark
Skills: Python, SQL, AWS
The Role Zeta Global is seeking a Data Engineer to help accelerate the operationalization of Zeta’s Data Cloud across international markets. Sitting within the Data Cloud International / commercial data partnerships function, this position will work closely with Business Operations, Applications, Product, Engineering, Compliance, and external partner technical teams. The focus is practical data engineering: turning high-potential data partnerships into usable, repeatable, revenue-generating Data Cloud assets that support product innovation, market expansion, and commercial growth through disciplined evaluation, ingestion, transformation, validation, and documentation. You will work primarily across AWS-based data workflows, using tools such as S3, Athena, Glue, SQL, Python, APIs, and orchestration frameworks such as Airflow. This is a hands-on, delivery-focused position suited to someone who enjoys turning technical data requirements into practical workflows. You will also use AI-assisted tools and automation techniques to improve data evaluation, documentation, workflow generation, and internal productivity. The position is based in Copenhagen, Denmark. Candidates should be able to commute regularly to the Copenhagen office, located in Copenhagen or near Copenhagen Central Station. Roles & Responsibilities • Build and automate data workflows for new and existing data partnerships. • Create repeatable ingestion, transformation, and replication processes for partner data feeds. • Evaluate incoming datasets for structure, usability, coverage, completeness, and quality. • Write scripts to transform, normalize, move, and prepare data for analysis or downstream use. • Use SQL and Athena …truncated… analytics engineering, technical data operations, cloud data automation, or a similar role. • Practical experience writing SQL to query, validate, and transform data. • Hands-on experience with Python for scripting, automation, or data manipulation. • Familiarity with AWS data…
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