Data Engineer, Platform
Eneba · Remote · Europe ·
COMPENSATION
€•• – ••k
Listed on the employer's job board (Ashby)
- Fully remote
- 5+ years experience
- Python + Apache Spark
- Stock options
- Learning budget
Join the Data team at Eneba, where you will help establish a solid data foundation for over 20 million active users. You will work alongside ML experts and analysts to enable data-driven decisions across the organization by ensuring efficient access to necessary data.
What you'll do
- Create and maintain data pipelines for efficient data access
- Collaborate with ML engineers on training automation and model release
- Build data infrastructure for analytics and company metrics
- Optimize internal processes and automate manual data delivery tasks
- Design and improve patterns for building data models
What you'll need
- At least 5 years of experience in data engineering or similar roles
- Extensive experience with Apache Spark and Python for large-scale processing
- Solid knowledge of SQL for querying relational databases
- Hands-on expertise with Git for version control and collaboration
- Familiarity with Databricks, Snowflake, or similar cloud platforms
- Experience with AWS, Azure, or Kubernetes platforms is a plus
Stack
- Apache Spark
- Python
- SQL
- Git
- Databricks
- AWS
- Azure
- Kubernetes
How you'll work
- Work location of your choice: office, remote, or travel
- CVs must be submitted in English
What you get
- Employee Stock Options program
- Performance-based and referral bonus systems
- Personal learning budget
- Additional paid leave
- Paid volunteering opportunities
- Defined feedback and promotion processes