Data Engineer at Digital Banking Department, Sofia

Contribution and key responsibilities:

• Design, develop and maintain scalable batch ETL and near-real-time data pipelines and architectures for various parts of our business, on fast and versatile data sources with hundreds of thousands of changes per day

• Ensure all data provided is of the highest quality, accuracy, and consistency

• Identify, design, and implement internal process improvements for optimizing data delivery and re-designing data pipelines for greater scalability

• Build out new API integrations to support continuing increases in data volume and complexity

• Communicate with data scientist, DevOps engineers, and BI analysts in order to understand business processes and data needs for specific features

For efficiency and effective role performance:

• 2+ years of experience in data engineering, data platforms, BI, or data-centric applications, such as data warehouses, operational data stores, and data integration projects

• Experience with one or more ML workflow orchestration frameworks (Apache Airflow, Kubeflow, MLFlow, etc.)

• Proficient in SQL and PL/SQL programming, working with Oracle databases

• Excellent coding skills in Python

• Experience with software development automation tools like Jenkins, and with VCSs like GitHub, GitLab or other VCSs

• Understanding of containerization and orchestration technologies like Docker/Kubernetes

Become part of Fibank family by sending a CV with a recent photo by 30 April 2025 

For additional information: contact the Human Capital Management Department, Internal Consultants Unit, phone 02/9100100.