Data Engineer

Join Zeta Global, a leading data-driven marketing technology company, as a Data Engineer in our Copenhagen office. In this role, you will be a key member of our Data Exchange team, contributing to the analysis, development, and maintenance of our complex data infrastructure. You will work closely with global teams and tackle a continuous stream of challenging projects. The ideal candidate will have a strong foundation in data engineering, data analysis, and software development principles, as well as a passion for understanding complex systems.

- 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
- 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
- " We prioritize focused development time and believe in the power of collaborative problem-solving, encouraging team members to both seek and offer assistance readily
- Our development process is a dynamic blend of agile and rapid prototyping methodologies, designed to foster a culture of "flexibility under responsibility
- 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
- 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
- We welcome candidates with a solid background in data analysis or software development, seeking professionals with proven experience or recent graduates
- 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
- Solid understanding of database technologies
- Strong data analysis skills, including working with large datasets
- 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
- Knowledge of distributed data processing for batch workloads
- You thrive in a dynamic environment, adept at juggling multiple projects and connecting them with underlying data
- Familiarity with data integrations and efficient data transfers
- 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
- Knowledge of data modeling, data warehousing concepts, and query optimization techniques
- You are adaptable and comfortable navigating a dynamic environment where priorities may shift, taking ownership of tasks and seeing them through to completion
- You are a proactive and independent worker, eager to understand and engage with the company's core problem space
- Strong software engineering skills, including experience with CI/CD pipelines and best coding practices
- Experience with Airflow for workflow orchestration, scheduling, and monitoring data pipelines
- You are a creative thinker, capable of identifying opportunities and weaknesses in proposed solutions, and constructively contributing with your own ideas
- You possess excellent English communication skills, enabling effective collaboration with management and colleagues across our international offices
- Experience with distributed data processing using Apache Spark
- 2-3 years of experience with Scala for data processing
- 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