Data Specialist (Data Engineering & Quality) (f/m/d)

Overview

You join BPAG Data Office to advance data quality, reporting, and regulatory data across Front, Finance, Risk and Operations. You will design and maintain data solutions on modern platforms, build dashboards, and automate data processes to improve transparency and regulatory compliance. You’ll collaborate with cross-functional teams to enhance data ownership and governance while supporting strategic data initiatives. This role offers hands-on engineering at scale in a leading financial institution, with growth and cross-team impact.

Leistungen / Benefits

• training and development opportunities
• dynamic team environment
• opportunities for growth
• diverse and inclusive workplace

Verantwortungsbereiche

• Design, build and maintain data solutions using SQL, Python, dbt and modern data platforms
• Develop reports, dashboards and analytical solutions for Front, Finance, Risk, Operations and other BPAG functions
• Support the development and operation of BPAG's data platform and reporting capabilities
• Automate data, reporting and control processes to improve efficiency and transparency
• Implement and monitor data quality controls for critical business and regulatory data
• Investigate data quality issues, identify root causes and support remediation
• Support implementation of Data Ownership, Critical Data and regulatory data requirements across BPAG
• Support BPAG's Critical Data programme and other data-related regulatory initiatives
• Collaborate with Front, Finance, Risk and Operations teams to improve data quality, ownership and reporting
• Support priority BPAG initiatives involving data across relevant functions
• Assist business users in analysing data, improving reporting and solving data-related issues

Zentrale Anforderungen

• Strong hands-on experience with SQL and modern data platforms
• Experience with dbt
• Experience with Python for data engineering, automation or analytics
• Experience building reporting, analytics or data quality solutions
• Strong organizational and communication skills
• Self-motivated, proactive, and able to work independently
• Ability to build relationships and manage multicultural interactions
• 3-6 years' experience in Data Engineering, Data Analytics, Data Quality or related field
• Degree in Computer Science, Mathematics, Statistics, or related field
• Professional certification (e.g., CDMP, CIMP) is a plus
• Excellent command of English; German/French advantageous
• Knowledge of Snowflake is highly desirable

• Strong organizational skills
• Effective communication
• Self-motivated and proactive
• SQL
• dbt
• Snowflake (desirable)