onsite
Senior Data Engineer - Bank Control
Data Engineer
Lead the design and implementation of robust data pipelines and data vault models to support banking control analytics, leveraging ETL best practices and collaboration tools like Jira and Confluence.
About the role
Key Responsibilities
- Architect, develop, and maintain scalable ETL processes for banking control data using Data Vault methodology.
- Collaborate with business analysts to translate regulatory and operational requirements into data models and dashboards.
- Ensure data quality, lineage, and governance across all data assets.
- Document solutions and workflows in Confluence, and manage tasks and progress in Jira.
- Optimize performance of data pipelines and troubleshoot production issues.
Requirements
- 5+ years of experience in data engineering, preferably in the banking or financial services sector.
- Strong proficiency in ETL tools and Data Vault design.
- Hands‑on experience with SQL, Python, and data warehousing concepts.
- Familiarity with Agile project management and tools such as Jira and Confluence.
- Excellent problem‑solving skills and a proactive, collaborative mindset.