About the role
Eneba is hiring a Data Engineer, Product to join its Data team, which brings together ML experts, data analysts, and data engineers. The mission is to help Eneba become a data driven decision maker by providing a solid data foundation and fostering a healthy data culture across the organization. This role focuses on building and maintaining the pipelines and infrastructure that make data accessible for analytics, hypothesis testing, and company metrics.
You will enable efficient data access, collaborate with ML engineers on automation for training, quality assessment, and model release, and design improvements that optimize data delivery and reduce manual work. The team also expects you to design new patterns for building data models and implement necessary modifications. Requirements include 5+ years in data engineering, extensive Apache Spark with Python, solid SQL, and hands-on Git. Databricks or Snowflake.
Highlights
- Build and maintain data pipelines for analytics and ML workflows
- Collaborate with ML engineers on training and model release automation
- Work with Apache Spark, Python, SQL, and cloud data platforms
- Salary range: 55000-72 000 eur gross annually
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