Senior Data Engineer

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

• 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.