About the role
Eneba is hiring a Data Engineer, Platform to join its Data team, which supports a marketplace used by close to 20m+ active users. The team’s mission is to help Eneba operate as a data-driven organization by providing a solid data foundation, improving access to data, and fostering a healthy data culture across the company. This role sits alongside ML experts, data analysts, and data engineers working on models, insights, and pipeline solutions.
The position focuses on creating and maintaining data pipelines, building data infrastructure for analytics, hypothesis testing, and company metrics, and improving internal processes to optimize data delivery and automate manual work. It also involves collaborating with ML engineers on automation for training, quality assessment, and model release, as well as designing and improving patterns for data models. The requirements point to a senior-level.
Highlights
- Work on data pipelines and infrastructure for a large gaming marketplace
- Collaborate closely with ML engineers on training, quality assessment, and release automation
- Senior-level role requiring 5+ years of data engineering experience
- Advertised salary is 55000-72 000 eur gross annually
This recap is dataskew's editorial summary, not the company's copy.