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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 their Copenhagen development office (with mention of Berlin as a potential location). The team develops and deploys next-generation data science and engineering technology, collaborating across global offices in the US, Europe, India, and the Philippines.
In this role, you will contribute to the analysis, development, and maintenance of Zeta's complex data infrastructure—a sophisticated ecosystem of interconnected systems. You'll work on a continuous stream of challenging projects from across the organization, requiring high expertise and innovation. The position involves every stage of development, from brainstorming through 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 work with highly skilled professionals, many holding Masters and PhDs in Physics, Math, and Computer Science. The environment emphasizes autonomy in planning and executing work while fostering strong collaboration with fellow developers and international product stakeholders. The company values practical approaches to implementing solutions while exploring cutting-edge technologies and algorithms.
Zeta Global's platform harnesses billions of proprietary data points and sophisticated machine learning algorithms to help marketers unlock actionable insights into consumer behavior. The Zeta Marketing Platform creates personalized customer experiences across the entire customer journey, driving significant growth for enterprise clients.
The company offers flexible work arrangements, including adjustable office hours and occasional remote work possibilities. You'll have freedom to select your preferred operating system and development tools. There are opportunities for cross-departmental collaboration and career advancement across 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, including services such as S3, Glue, Athena, and EMR
Soft Skills:
- Analytical mindset with pragmatic approach to solution development
- Creative thinking and ability to identify opportunities and weaknesses in proposed solutions
- Comfort juggling multiple projects and connecting them with underlying data
- Proactive and independent worker with excellent English communication skills
- Adaptability and comfort navigating dynamic environments where priorities may shift
