About this role
To strengthen its complex data infrastructure and process continuous streams of challenging projects, Zeta Global needs a versatile Data Engineer for its Copenhagen office. Working within the Data Exchange team, this person will design, build, and maintain scalable data pipelines while collaborating closely with international colleagues across the US, Europe, India, and the Philippines.
Daily responsibilities span the entire development lifecycle, focusing heavily on analysis, prototyping, and building robust data solutions. The environment suits analytical professionals who enjoy autonomy in planning their work, possess strong object-oriented programming skills, and want to explore the intersection of data engineering, data analysis, and software development.
What you will do
- Contribute to the analysis, development, and maintenance of a complex ecosystem of interconnected systems within the Data Exchange team.
- Translate real-world challenges into data models, ETL processes, algorithms, and functional code.
- Engage in every stage of the development process, placing primary emphasis on analysis, prototyping, and development.
- Collaborate directly with fellow developers and international product stakeholders across multiple regions.
- Identify issues, formulate solutions, and develop robust data pipelines and software using an analytical mindset.
- Navigate shifting priorities with a proactive approach while taking full ownership of assigned tasks.
What you need
- Hold a strong academic background in a quantitative field such as Computer Science, Mathematics, or Physics.
- Demonstrate hands-on experience in designing, building, and maintaining scalable and reliable data pipelines.
- Show proficiency in programming languages like Python or Scala for data engineering and processing tasks.
- Possess strong data analysis skills that include working with large datasets and distributed data processing for batch workloads.
- Maintain a solid understanding of database technologies alongside a capacity for independent, proactive work.
- Communicate effectively in English to coordinate with management and international colleagues.
Nice to have
- 2-3 years of experience with Scala for data processing
- Strong software engineering skills including CI/CD pipelines and coding best practices
- Experience with Apache Spark and Apache Airflow
- Cloud expertise in AWS services such as S3, Glue, Athena, and EMR
- Familiarity with data modeling, warehousing concepts, and query optimization
Benefits
- Flexible work arrangements including adjustable office hours and occasional remote work
- Freedom to select preferred operating systems and development tools
- Opportunities for cross-departmental collaboration and potential career advancement in international locations
Skills and tech stack
Questions candidates ask
What is the remote work policy for this position?
The role offers flexible work arrangements, including adjustable office hours and the possibility of occasional remote work, provided commitments are consistently fulfilled. The full-time position is based at the Copenhagen office located at Bernstorffsgade 21.
What technologies and tools will I be working with?
You will work with object-oriented programming languages like Python and Scala, along with distributed data processing tools such as Apache Spark and workflow orchestration via Airflow. Cloud expertise in AWS services like S3, Glue, Athena, and EMR is also part of the desired tech stack.
What does the team environment look like?
The Copenhagen office boasts a dynamic and focused environment comprising a core group of start-up veterans and approximately 30 highly skilled professionals. The team is largely composed of Masters and PhDs in fields like Physics, Math, and Computer Science.
What kind of autonomy do developers have regarding their setup?
Employees have the freedom to select their preferred operating system, such as Mac or Windows, and development tools, with the expectation of independent maintenance and troubleshooting. You are also encouraged to introduce new technologies after demonstrating their value and gaining team buy-in.