Zeta Global

data engineer in AdTech

In short

Middle-level data engineer role at Zeta Global, a data and AI-powered marketing technology company, building and maintaining scalable data pipelines and ETL processes for its consumer data platform. The team/office is listed as Berlin (LinkedIn) though the description also references a Copenhagen team and office. Requires hands-on data pipeline experience, proficiency in Python or Scala, distributed batch data processing knowledge, and strong English; Spark, Airflow and AWS (S3, Glue, Athena, EMR) experience is a plus.

About
Zeta Global is a data and AI-powered marketing technology company built on a consumer data platform. Its Zeta Marketing Platform uses data and machine learning to help marketers understand consumer behavior, create personalized experiences across the customer journey, and drive growth for clients.
Responsibilities
•Analyze, develop, and maintain complex data infrastructure
•Translate real-world challenges into data models, ETL processes, algorithms, and functional code
•Participate in all stages of development, from brainstorming to ongoing maintenance, with a focus on analysis, prototyping, and development
•Identify issues using data, formulate solutions, and develop data pipelines and software
•Implement and optimize solutions, take ownership of tasks, and complete them
•Collaborate with developers and international product stakeholders
Requirements
•Strong academic background in a quantitative field such as Computer Science, Mathematics, or Physics
•Hands-on experience designing, building, and maintaining scalable and reliable data pipelines
•Proficiency in Python, Scala, or other OOP languages for data engineering and processing
•Strong data analysis skills, including experience working with large datasets
•Knowledge of distributed data processing for batch workloads
•Solid understanding of database technologies
•Excellent English communication skills
•Ability to work independently, adapt to shifting priorities, and manage multiple projects
Nice to have
•2–3 years of Scala experience for data processing
•CI/CD pipelines, software engineering best practices
•Data integrations, efficient data transfers, data modeling, data warehousing, query optimization
•Apache Spark, Airflow, AWS, S3, Glue, Athena, EMR
•Interest in data engineering or AdTech
Conditions
•Location listed as Berlin, Germany on LinkedIn; the job description also mentions a team and office in Copenhagen
•Flexible schedule and possibility to occasionally work remotely by arrangement
•Choice of operating system (Mac or Windows) and tools; employee handles their own equipment maintenance and troubleshooting

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