Software Engineer - Data Engineering

Founded in Berlin in 2014, Zeotap is a Customer Data Platform (CDP) provider helping brands create personalized, multi-channel experiences with strict data privacy compliance.
Data
Mid-Level Software Engineer
In-Person
2+ years of experience
Enterprise SaaS · AI

Description For Software Engineer - Data Engineering

Zeotap, founded in Berlin in 2014, is seeking a Data Engineering Software Engineer to join their innovative team. The company has evolved from providing high-quality data to marketers to becoming a leading Customer Data Platform (CDP) provider, trusted by major brands like Virgin Media O2, Amazon, and Audi.

The role focuses on designing and implementing robust, scalable data pipelines using cutting-edge technologies like Spark, Scala, and Airflow on Google Cloud. You'll be responsible for building and maintaining large-scale processing systems, ensuring data quality, and optimizing performance across the data infrastructure.

As an ideal candidate, you'll bring 2+ years of experience in high-scale solutions, expert-level coding skills in Java or Scala, and strong fundamentals in data structures and algorithms. Experience with Big Data technologies, streaming platforms like Kafka, and database systems is highly valued.

This position offers an exciting opportunity to work with driven entrepreneurs and global senior investors in a fast-paced environment. You'll be part of a team that's at the forefront of data privacy and compliance while building solutions that enable personalized, multi-channel customer experiences.

Benefits include competitive compensation, health insurance coverage, and professional development opportunities through guidance and training from an experienced team. Zeotap promotes an inclusive work environment, welcoming candidates from all backgrounds and fostering equal employment opportunities.

Last updated an hour ago

Responsibilities For Software Engineer - Data Engineering

  • Design and implement robust, scalable data pipelines using Spark, Scala, and Airflow with Google Cloud
  • Develop, construct, test, and maintain architectures such as databases and large-scale processing systems
  • Assemble large, complex data sets meeting business requirements
  • Build infrastructure for optimal ETL from various data sources
  • Collaborate with data scientists to improve data models
  • Implement data flow and tracking using Apache Airflow
  • Ensure data quality and integrity across processing stages
  • Monitor and optimize data processing pipeline performance
  • Tune and optimize Spark jobs for performance and efficiency
  • Troubleshoot and resolve data pipeline issues
  • Stay up-to-date with latest Big Data technologies

Requirements For Software Engineer - Data Engineering

Scala
Python
Java
Kafka
  • 2+ years of experience in building and deploying high scale solutions
  • Strong problem-solving skills and clear fundamentals of DS and algorithms
  • Expert coding skills in Java or Scala
  • Apache Spark or other Bigdata stack experience
  • High level and low-level design skills
  • Bachelor or Master's degree in information systems, computer science or related fields
  • Experience with streaming technologies like Kafka, Flink, Samza is a plus
  • Deep understanding of OLTP, OLAP, NoSQL or Graph databases is a plus
  • Expert coding skills in Go or Python is a plus

Benefits For Software Engineer - Data Engineering

Medical Insurance
  • Competitive compensation and attractive perks
  • Health Insurance coverage
  • Flexible working support
  • Guidance and training provided by experienced team
  • Fast paced work environment

Interested in this job?

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