Data Engineer
Berlin · Copenhagen · London · 2-3 years experience · Remote · Posted Sep 29, 2026
At a glance
- Experience
- 2-3 years experience
- Workplace
- Remote
- Location
- Berlin · Copenhagen · London
About the role
- The Data Engineer will join the Data Exchange team in Copenhagen to develop and maintain complex data infrastructure.
- The role involves contributing to the analysis, prototyping, and development of data pipelines and software within a dynamic, agile environment.
- The position requires collaboration with global teams to support Zeta's next-generation data science and engineering technology.
Responsibilities
- Analyze, develop, and maintain complex data infrastructure.
- Design, build, and maintain scalable and reliable data pipelines.
- Translate real-world challenges into data models, ETL processes, and algorithms.
- Engage in every stage of the development process from brainstorming to maintenance.
- Collaborate with international product stakeholders and developers.
- Identify issues and formulate solutions using data.
- Maintain and troubleshoot development tools and operating systems.
Requirements
- Strong academic background in a quantitative field such as Computer Science, Mathematics, or Physics.
- 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.
- 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 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.
- Cloud expertise, particularly AWS (S3, Glue, Athena, EMR).
- Interest in the AdTech domain.
Benefits
- Flexible work arrangements
- Occasional remote work
- Choice of operating system and development tools
Workplace
- Flexible work arrangements including adjustable office hours.
- Possibility of occasional remote work.
Skills
- Python
- Scala
- Apache Spark
- Airflow
- AWS
- S3
- Glue
- Athena
- EMR
- CI/CD
- ETL
- Data Modeling
Show all 13 skills
- Data Warehousing
