Data Engineer


Zof AI, a dynamic startup at the forefront of software testing innovation, is searching for a skilled Data Engineer to play a pivotal role in shaping our data infrastructure. As a Data Engineer at Zof AI, you will have the opportunity to design and implement robust data pipelines, ensuring efficient data processing and analysis for our cutting-edge testing solutions.


  • Collaborate with cross-functional teams to understand data requirements and contribute to the design of data architecture.
  • Develop, construct, test, and maintain scalable data architecture and pipelines.
  • Implement ETL processes to transform raw data into a usable format for analysis.
  • Design and optimize data storage solutions for both structured and unstructured data.
  • Ensure data quality and integrity by implementing effective data governance practices.
  • Work closely with Data Scientists and other stakeholders to understand data needs and provide reliable solutions.
  • Stay informed about emerging technologies and best practices in data engineering.


  • Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
  • Proven experience as a Data Engineer or similar role.
  • Proficient in programming languages such as Python, Java, or Scala.
  • Strong understanding of data modeling, ETL processes, and data warehousing concepts.
  • Experience with big data technologies, such as Apache Spark or Hadoop.
  • Familiarity with cloud-based data solutions, such as AWS, Azure, or Google Cloud Platform.
  • Solid knowledge of database systems, both SQL and NoSQL.
  • Excellent problem-solving and analytical skills.

Bonus Qualifications

  • Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).
  • Previous experience in the software testing domain.
  • Exposure to streaming data processing frameworks (e.g., Apache Kafka).
  • Knowledge of data security and compliance best practices.
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