Senior Compute Platform Engineer

Zeta Global; København; On-site; DKK 900,000 - 1,100,000; Full time

Job summary

Zeta Global in Copenhagen, Denmark is seeking a Senior Compute Platform Engineer on the Data Platform team to build and run the data infrastructure powering Zeta's platform, including Zeta’s lakehouse platform.

The role focuses on scalable data processing with Spark/Scala, Hadoop clusters on EC2 spot instances, and collaboration with San Francisco and Berlin offices. This hybrid role is based in our Copenhagen office.

Qualifications

• 3+ years of software engineering experience.
• A degree in Computer Science, Software Engineering, Physics, Math, or a related field.
• 1+ years of experience with Scala or other JVM-based languages.
• Experience with Spark and/or other large-scale data-processing frameworks.
• Experience with Kubernetes is a plus.
• Basic knowledge of AWS (EC2, S3, Athena, etc.).

Responsibilities

• Operate and implement new features in the framework and services.
• Engage with data scientists to improve productivity with the framework and services.
• Identify and implement computational improvements.
• Submit patches to open-source projects in our stack (Spark, Iceberg, Hadoop, Airflow, etc.).
• Act as an expert on Spark and Scala.
• Mentor engineers and promote quality and reliability across the team.

Skills

Software engineering

Scala

Spark

Analytical thinking

Backend architecture

Communication skills

Education

Bachelor's degree in Computer Science / Software Engineering / Physics / Math

Tools

Kubernetes

Amazon Web Services (AWS)

Spark

Hadoop

Iceberg

Airflow

Job description

Zeta Global (NYSE: ZETA) is the AI‑Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com.

The Role

As a Senior Compute Platform Engineer on the Data Platform team, you will be part of the group responsible for building and running the data infrastructure that powers Zeta's platform, including Zeta’s lakehouse platform. The Data Platform team delivers reliable, cost‑efficient data processing that scales with growth — so engineers and analysts can focus on business problems instead of wrestling with infrastructure.

Our team empowers data scientists and data engineers through a Scala data warehouse framework designed for data modeling and the creation of type‑safe and easily testable batch jobs. The team also orchestrates a compute environment that simplifies the execution of Spark jobs, facilitating the analysis of terabytes of data with ease and cost‑effectiveness. The runtime environment is based on Hadoop clusters on EC2 spot instances, dynamically scaling up as required, ensuring high resource utilization and stability.

Our team is responsible for the development and deployment of the company's next‑generation technology, closely collaborating with the company's other branches in San Francisco and Berlin. You will help grow the team through mentoring, code reviews, and knowledge sharing so others can work effectively with our stack.

This is a hybrid role based out of our Copenhagen, Denmark office.

Responsibilities

• Operating and implementing new features in the framework and the services managed by the team
• Engaging with data scientists and identifying ways of improving their experience and productivity when using our framework and services
• Identifying and implementing computational improvements
• Making improvements and/or fixing bugs by submitting patches to open‑source projects in our stack, such as Spark, Iceberg, Hadoop, Airflow, and many others
• Acting as an expert on Spark and Scala
• Mentoring engineers (including through pairing, design discussions, and knowledge‑sharing sessions) and helping raise the bar on quality, reliability, and good practices across the team

Desired Characteristics

• 3+ years of software engineering experience
• A degree in Computer Science, Software Engineering, Physics, Math, or a related field
• 1+ years of experience and proficiency in Scala or other JVM‑based languages
• Experience with Spark and/or other large‑scale data‑processing frameworks
• Experience with Kubernetes is a plus
• Basic knowledge of Amazon Web Services (EC2, S3, Athena, etc.)
• Interest in back‑end technologies, architecture, and passion for learning new things
• Interest in math, statistics, oradtechtechnology is a plus
• Analytical approach to problems and pragmatic approach to solutions
• Ability to work independently and enterprisingly in a dynamic environment where work priorities can change
• Excellent interpersonal and communication skills, with the ability to discuss ideas in a distanced and constructive manner

Equal Employment Opportunity

Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.