Data Engineer - Remote

Overview

We are looking for 2 Data Engineers to support key strategic banking projects throughout 2026. The role focuses on data pipeline development, integration of existing systems, and preparing the platform for future cloud adoption. The environment is highly technical and includes Openshift, microservices, Kafka, Spark, and multiple relational databases.

In Short

• Develop, optimize, and maintain data pipelines on the On-Premise environment (Openshift, DIH).
• Integrate and manage data flows from OracleDB2, MySQL, MariaDB, and other relational systems.
• Build and maintain APIs and microservices using Spring Boot/Java.
• Work with Kafka for streaming and real-time data processing.
• Perform large-scale data processing using Apache Spark and Trino.
• Implement and manage CI/CD pipelines using GitLab.
• Conduct performance testing with JMeter and monitor system stability using Dynatrace.
• Contribute to the gradual transition to cloud platforms (Azure / GCP / AWS).

Requirements

• Strong experience with Openshift, Apache Kafka, Apache Spark, Spring Boot, Trino.
• Databases: OracleDB2, MySQL, MariaDB.
• Languages: Python, Java.
• Experience with GitLab CI/CD, JMeter, Dynatrace.
• Experience with distributed architectures and microservices.
• Previous experience in the banking sector (ideal but not mandatory).
• Cloud knowledge is a plus (Azure, GCP, AWS).

Benefits

• Opportunity to work on strategic banking projects.
• Engage in a highly technical environment.
• Collaborate with cross-functional teams.
• Potential for cloud technology exposure.