Data Engineer
London · Berlin · Copenhagen · 2-3 years experience · Remote · Posted Sep 29, 2026
At a glance
- Experience
- 2-3 years experience
- Workplace
- Remote
- Location
- London · Berlin · Copenhagen
About the role
- Zeta Global is seeking a Data Engineer to join the Data Exchange team within their development office in Copenhagen.
- The role involves contributing to the analysis, development, and maintenance of a complex data infrastructure and sophisticated ecosystem of interconnected systems.
- You will be involved in every stage of the development process, from initial brainstorming to ongoing maintenance, with an emphasis on analysis, prototyping, and development.
Responsibilities
- Contribute to the analysis, development, and maintenance of complex data infrastructure
- Design, build, and maintain scalable and reliable data pipelines
- Translate real-world challenges into data models, ETL processes, algorithms, and functional code
- Engage with fellow developers and international product stakeholders
- Participate in every stage of the development process from initial brainstorming to ongoing maintenance
Requirements
- A strong academic background in a quantitative field (Computer Science, Mathematics, Physics, or related disciplines)
- Hands-on experience in designing, building, and maintaining scalable and reliable data pipelines
- Proficiency in Python, Scala or other OOP 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
- Excellent English communication skills
Preferred 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
Workplace
- Flexible work arrangements including adjustable office hours and occasional remote work
Skills
- Python
- Scala
- Apache Spark
- Airflow
- AWS
- S3
- Glue
- Athena
- EMR
- ETL
