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Zeta Global, a data and AI-powered marketing technology company, is seeking a Data Engineer to join the Data Exchange team in Copenhagen. The role focuses on developing and maintaining complex data infrastructure that supports Zeta's next-generation data science and engineering technology. You will work alongside a dynamic team of approximately 30 skilled professionals, collaborating with global teams across the US, Europe, India, and the Philippines.
In this position, you will contribute to the analysis, development, and maintenance of sophisticated interconnected data systems. You'll be involved in every stage of the development process—from initial brainstorming through prototyping to ongoing maintenance—with emphasis on analysis, prototyping, and development. The team operates using a blend of agile and rapid prototyping methodologies, prioritizing focused development time and collaborative problem-solving.
You will design, build, and maintain scalable and reliable data pipelines, work with large datasets, and translate real-world challenges into data models, ETL processes, and functional code. The role requires strong analytical thinking, pragmatic problem-solving, and the ability to identify opportunities and weaknesses in proposed solutions. You should be comfortable with multiple concurrent projects and eager to explore new facets of data for deeper insights.
The company values autonomy and flexibility, offering adjustable office hours and occasional remote work options. You'll have freedom in selecting your preferred operating system and development tools. The Copenhagen office is comprised largely of start-up veterans with advanced degrees in Physics, Math, and Computer Science. Career advancement opportunities exist across international locations including Berlin, San Francisco, and New York.
REQUIREMENTS:
Minimum Qualifications:
- Strong academic background in a quantitative field (Computer Science, Mathematics, Physics, or related disciplines)
- Hands-on experience designing, building, and maintaining scalable and reliable data pipelines
- Proficiency in Python, Scala, or other object-oriented programming languages for data engineering and processing tasks
- Strong data analysis skills, including working with large datasets
- Knowledge of distributed data processing for batch workloads
- Solid understanding of database technologies
Desired Qualifications:
- 2-3 years of experience with Scala for data processing
- Strong software engineering skills, including experience with CI/CD pipelines and best coding practices
- Familiarity with data integrations and efficient data transfers
- Knowledge of data modeling, data warehousing concepts, and query optimization techniques
- Experience with distributed data processing using Apache Spark
- Experience with Airflow for workflow orchestration, scheduling, and monitoring data pipelines
- Cloud expertise, particularly AWS (S3, Glue, Athena, EMR)
- Strong interest in AdTech domain and associated technologies
