Data Engineer
- Salary
- Not stated
- Level
- Mid
- Work type
- Not stated
- Visa
- Not stated
Open. First seen 2 October 2026.
The team: Engineering HIRES STEADILY
This role is one of 52 open in Engineering. 6 were posted in the last 30 days and the oldest in March: a team that hires all year rather than one being built.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
AWS (47 of 52), Python (35 of 52), Java (33 of 52), Kubernetes (25 of 52), Scala (25 of 52), CI/CD (24 of 52), Airflow (23 of 52)
OTHER ROLES ON THIS TEAM
- Senior Software Engineer posted Oct 5
- Staff Software Engineer posted Oct 1
- Data Engineer posted Sep 29
- Senior Engineer, Data Platform posted Sep 28
- Senior Software Engineer, Data Platform posted Sep 24
- Data Engineer posted Sep 16
- Staff Software Engineer posted Sep 15
- Senior Software Engineer – Forecasting & Recommendations posted Sep 15
- Senior Software Engineer, Identity posted Sep 14
- Senior Software Engineer, Identity posted Sep 14
- Senior Software Engineer - Automation & Tooling posted Sep 7
- Data Engineer, Data Cloud International posted Sep 1
- Lead Software Engineer – Real-Time Events posted Aug 26
- Lead Software Engineer – Real-Time Events posted Aug 26
- Director, Application Security posted Aug 26
- Staff Software Engineer - Performance Advisor posted Aug 11
- Staff Software Engineer - Performance Advisor posted Aug 11
- Senior Data Engineer - Healthcare Data & Audience Applications posted Aug 10
- Senior Data Engineer - Healthcare Data & Audience Applications posted Aug 10
- Senior Compute Platform Engineer posted Jul 20
- Lead Application Security Engineer posted Jul 15
- Lead Site Reliability Engineer posted Jul 15
- Lead Application Security Engineer posted Jul 13
- Lead Compute Platform Engineer posted Jun 24
- Lead Compute Platform Engineer posted Jun 24
- Lead Compute Platform Engineer posted Jun 24
- Director of Engineering posted May 11
- Lead Data Engineer - Healthcare Data & Audience Applications posted Apr 27
- Lead Data Engineer - Healthcare Data & Audience Applications posted Apr 27
- Lead Backend Engineer posted Apr 24
- Senior Backend Engineer posted Apr 24
- Lead Full Stack Engineer posted Apr 13
- Senior Software Engineer — Real-Time Ad Serving posted Apr 8
- Senior Software Engineer — Real-Time Ad Serving posted Apr 8
- Senior Software Engineer — Real-Time Ad Serving posted Apr 8
- Senior Software Engineer posted Mar 2
- Sr AI/ML Engineer posted Feb 17
- Senior Software Engineer posted Dec 10
- Senior Software Engineer posted Dec 10
- Senior Software Engineer posted Dec 10
- Lead Full Stack Engineer, Vertical Applications posted Dec 9
- Lead Software Engineer posted Nov 4
- Lead Software Engineer, Identity posted Oct 22
- Lead Software Engineer, Identity posted Oct 22
- Senior Software Engineer posted Oct 15
- Sr. Systems Administrator posted Jul 25
- Sr. Systems Engineer posted Jul 25
- Director, Application Security posted May 15
- Senior Software Engineer posted Apr 30
- Senior QA Automation Engineer posted Oct 17
- Senior Backend Engineer posted Mar 27
From the team and dates on Zeta Global's own job board.
About the role
Who are we?
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 Company
Zeta Global is a data and AI-powered marketing technology company built on the foundation of a robust consumer data platform. With billions of proprietary data points and sophisticated machine learning algorithms, Zeta helps marketers unlock actionable insights into consumer behavior and preferences. The company's Zeta Marketing Platform harnesses this powerful combination of data and AI to create personalized customer experiences across the entire customer journey, ultimately driving significant growth for its clients.
Through a commitment to innovation in data science, Zeta Global provides enterprises with the tools they need to build meaningful and profitable customer relationships.
The position
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.
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.
Knowledge of distributed data processing for batch workloads.
Solid understanding of database technologies.
Desired 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.
You approach problems with an analytical mindset and a pragmatic approach to solution development. You are a creative thinker, capable of identifying opportunities and weaknesses in proposed solutions, and constructively contributing with your own ideas. You thrive in a dynamic environment, adept at juggling multiple projects and connecting them with underlying data. You recognize that exploring new facets of data often yields greater insights than fine-tuning algorithmic parameters. You are equally comfortable implementing and optimizing solutions, and you are eager to tackle new challenges.
You are a proactive and independent worker, eager to understand and engage with the company's core problem space. You possess excellent English communication skills, enabling effective collaboration with management and colleagues across our international offices. You are adaptable and comfortable navigating a dynamic environment where priorities may shift, taking ownership of tasks and seeing them through to completion.
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 professionals in a stimulating environment that fosters both learning and individual initiative. While we are passionate about exploring cutting-edge technologies and algorithms, we maintain a practical approach to implementing solutions.
We believe in empowering our employees with autonomy and flexibility. We offer flexible work arrangements, including adjustable office hours and the possibility of occasional remote work, provided commitments are consistently fulfilled. You will have the freedom to select your preferred operating system (Mac, Windows) and development tools, with the expectation of independent maintenance and troubleshooting. We encourage the introduction of new technologies, contingent upon demonstrating their value and gaining team buy-in.
Our international presence provides ample opportunities for cross-departmental collaboration and potential career advancement in locations like Berlin, San Francisco or New York.
Interested candidates are encouraged to apply via LinkedIn, submitting a cover letter along with their application. Interviews will be scheduled on a continuous basis.
Salary context
67 other open postings titled Data Engineer state a salary: median USD 130,000 to USD 180,000 a year.
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