Data Engineer

Role Overview:

We are looking for an experienced Data Engineer to join a major banking project. The role involves building and maintaining complex data pipelines, optimizing SQL procedures, and ensuring data quality across large-scale systems. The ideal candidate is proactive, detail-oriented, and comfortable working in a fast-paced environment.

Key Responsibilities:

• Collaborate with Business Analysts and Product Owners to clarify requirements and align priorities
• Design, build, and maintain SQL procedures and datasets reflecting business logic
• Develop and automate data pipelines using Apache Airflow
• Write clean, standardized Python and SQL code following best practices
• Identify and resolve data quality or performance issues
• Ensure timely, high-quality delivery of data solutions

Must-Have Requirements:

• 4+ years of hands-on experience in Data Engineering
• Strong knowledge of SQL, Python, and Git
• Proven experience with Apache Airflow for pipeline automation
• Understanding of SDLC principles and version control
• Excellent communication and collaboration skills in English

Nice to Have:

• Experience with Sybase or other enterprise databases
• Background in banking or financial data environments

Interview process

1. Intro call with recruiter;
2. Technical interview
3. 15-minute client call;
4. Final technical interview with the client.