We are looking for an experienced Data/ML Engineer to support our industrial client in analyzing installation performance — as close to real-time as possible.
The core of the assignment is to prepare and process real-time IoT data so that it can be effectively analyzed and visualized. The goal is to enable timely insights into installation success, helping to drive continuous improvement in field operations.
What We're Looking For:
- Strong background in building robust data pipelines for streaming or real-time data
- Experience preparing IoT datasets for analytics and visualization
- Familiarity with modern data infrastructure and DevOps workflows
- Ability to work independently and communicate effectively with both business and technical stakeholders
The ideal candidate has hands-on experience with the following technologies:
- Cloud & Data Processing:
AWS (Lambda, Batch, Glue, CloudWatch), Spark, Flink, Databricks, Delta Lake - Infrastructure & DevOps:
Terraform, GitLab CI/CD, Monitoring, Automation - Testing & Quality:
Unit testing, Test automation, Robot Framework, Data quality tooling - Analytics & Visualization:
BI dashboards and real-time data monitoring