Data Engineer

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 Zeta Global is seeking a talented and versatile Data Engineer to join our Data Exchange team within our highly skilled development office in Copenhagen. This team plays a critical role in developing and deploying Zeta’s next‑generation data science and engineering technology, collaborating closely with our global teams in the US, Europe, India and Philippines. The Copenhagen office boasts a dynamic and focused environment, comprising a core group of start‑up veterans and approximately 30 highly skilled professionals. As a member of the Data Exchange team, you will contribute to the analysis, development, and maintenance of our complex data infrastructure, a sophisticated ecosystem of interconnected systems. This team tackles a continuous stream of challenging projects originating from across the organization, demanding a high degree of expertise and innovation. We are seeking candidates with a strong foundation in data engineering, data analysis, and software development principles, and a demonstrated interest in exploring the intersections between these disciplines. The ideal candidate for the Data Engineer position at Zeta Global Copenhagen is a highly motivated and analytical individual with a passion for understanding complex (software) systems. You are adept at using data to identify issues, formulate solutions, and develop robust data pipelines and software. You thrive in an environment that offers significant autonomy in planning and executing your work, yet you are also a strong collaborator, readily engaging with fellow developers and international product stakeholders. You will be involved in every stage of the development process, from initial brainstorming to ongoing maintenance, with a primary emphasis on analysis, prototyping, and development. Our development process is a dynamic blend of agile and rapid prototyping methodologies, designed to foster a culture of "flexibility under responsibility." We prioritize focused development time and believe in the power of collaborative problem-solving, encouraging team members to both seek and offer assistance readily. This is a hybrid role based out of our Copenhagen, Denmark office.

Your profile
We welcome candidates with a solid background in data analysis or software development, seeking professionals with proven experience or recent graduates. Regardless of your background, a crucial element is your intellectual curiosity, self‑motivation, and a demonstrable ability to translate real‑world challenges into data models, ETL processes, algorithms, and ultimately, functional code. A strong interest in data engineering and/or the AdTech domain, along with its associated technologies, is highly desirable, as well as knowledge of object‑oriented programming languages, particularly Scala. Minimum

Qualifications:
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. Knowledgeofdistributed data processingfor batch workloads. Solid understanding of database technologies. Desired

Qualifications:
3-6 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.

What we offer
Join our dynamic team, largely comprised of Masters and PhDs in fields like Physics, Math, and Computer Science, and play a key role in shaping the future of our technology. You will collaborate with highly skilled prof