Job Description
We are looking for Senior Data Engineers for the team of our Fortune 500 client, working for their banking client.
This is a remote-first position with a required location within EEA (European Economic Area).
Responsibilities
Data Modeling, Migration & ETL Development
Implement ETL processes and real-time data pipelines for efficient data handling and integration.
Develop and maintain scalable, cloud-based data architecture using Azure especially Azure Event Hub and Kafka.
Implement CI/CD practices to streamline development and deployment processes.
Employ Docker for containerization and efficient resource management across development environments.
Collaboration & Agile Development
Gather requirements, set targets, define interface specifications, and conduct design sessions.
Work closely with data consumers to ensure proper integration.
Adapt and learn in a fast-paced project environment.
Work Conditions
Start Date : ASAP
Location : Remote with occasional visits of Budapest
Long-term contract based-role: 6+month




Job Requirements
Strong SQL skills for ETL, data modeling, and performance tuning.
Experience in Databricks and Kafka
Proficiency in Python , especially for handling and flattening complex JSON structures.
Extensive experience with Azure cloud services and services like: Azure Event Hub , as well as real-time data processing technologies including Apache Druid and Apache Storm .
Understanding of software engineering and testing practices within an Agile environment.
Experience with Data as Code ; version control, small and regular commits, unit tests, CI/CD, packaging, familiarity with containerization tools such as Docker (must have) and Kubernetes (plus).
Excellent teamwork and communication skills.
Proficiency in English, with strong written and verbal communication skills.
Efficient, high-performance data pipelines for real-time and batch data processing.

📌 Senior Data Engineer (Torino)
🏢 Jimmy Technologies
📍 Torino