Data Engineer (DWH)

TL;DR

Data Engineer (DWH): Designing and building the production platform for External Reporting and maintaining data pipelines with an accent on ELT/ETL orchestration and API integration. Focus on developing scalable reporting services and ensuring robust data delivery within a fast-paced banking environment.

Location: Worldwide / Remote. Relocation support available to hubs in Cyprus, Georgia, Serbia, or Kazakhstan.

Company

A data-driven bank focusing on innovative financial solutions and a high-tech environment.

What you will do

• Design and build the production platform for External Reporting.
• Develop and maintain data pipelines and reporting services.
• Collaborate across teams to provide data marts for reporting and analysis.
• Influence architecture and technical decisions in a fast-paced environment.

Requirements

• 3+ years of experience as a Data Engineer or Software Engineer.
• Proficiency in Python and architectural best practices.
• Experience with ELT/ETL orchestration tools such as Apache Airflow or Dagster.
• Strong knowledge of SQL and database fundamentals.
• Experience building and consuming web services and APIs.
• English: B1 or higher required for communication with an international team.

Nice to have

• Experience working with DWH in the banking sphere.
• Experience with real-time data streaming using Apache Kafka.
• Knowledge of Kubernetes and Helm.
• Experience with monitoring tools such as Grafana and Prometheus.

Culture & Benefits

• Relocation support to hubs in Cyprus, Georgia, Serbia, or Kazakhstan for the employee and their family.
• Flexible work options: remote or from one of the offices.
• Comprehensive healthcare coverage.
• Education budget for language lessons, professional training, and certifications.
• Wellness budget for mental health and fitness activity reimbursements.
• 20 days of annual leave plus paid sick leave.