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Zeta Global

AI-driven marketing platform for enterprises

Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeCopenhagen, DenmarkNo salary listed

About the Job

Requirements

  • A strong academic background in a quantitative field such as Computer Science, Mathematics, Physics, or a related discipline.
  • Hands-on experience designing, building, and maintaining scalable and reliable data pipelines.
  • Proficiency in Python, Scala, or other object-oriented programming languages for data engineering and processing tasks.
  • Strong data analysis skills, including working with large datasets.
  • Knowledge of distributed data processing for batch workloads.
  • A solid understanding of database technologies.
  • Strong software engineering skills, including experience with continuous integration and continuous delivery 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.
  • Excellent English communication skills for effective collaboration with management and colleagues across international offices.
  • The profile seeks candidates with proven experience or recent graduates, and values intellectual curiosity, self-motivation, and the ability to translate real-world challenges into data models, ETL processes, algorithms, and functional code.
  • A strong interest in data engineering and/or the AdTech domain and its associated technologies is highly desirable, as is knowledge of object-oriented programming languages, particularly Scala.

Responsibilities

  • Contribute to the analysis, development, and maintenance of complex data infrastructure and interconnected systems.
  • Take part in every stage of the development process, from initial brainstorming to ongoing maintenance, with emphasis on analysis, prototyping, and development.
  • Use data to identify issues, formulate solutions, and develop robust data pipelines and software.
  • Translate real-world challenges into data models, ETL processes, algorithms, and functional code.
  • Plan and execute work autonomously while collaborating with fellow developers and international product stakeholders.
  • Implement and optimize solutions, and take ownership of assigned tasks through completion.

Desired Qualifications

  • Three to six years of experience with Scala for data processing.

About the Company

Zeta Global

AI-driven marketing platform for enterprises

Zeta Global provides AI-driven marketing technology for enterprises to acquire customers, retain them longer, and grow their value. Its Zeta Marketing Platform offers a real-time view of prospects and customers and uses AI to deliver personalized experiences across multiple channels at scale, pulling in behavioral signals and purchase intents to generate intent and churn signals for millions of identities for cross-channel campaigns. It differentiates itself through real-time data, a large identity graph, multi-channel orchestration, and deterministic attribution that drive measurable marketing outcomes. The goal is to help brands optimize acquisition and retention to maximize lifetime value by delivering precise, data-driven marketing at scale.

Company size
1,001-5,000
Company stage
IPO
Headquarters
New York City, New York
Founded
2007

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