Pictet is an equal opportunity employermitted to creating a diverse environment. We respect all individuals and seek their inclusion in the workplace.
The Pictet Group is a leading independent wealth and asset manager, founded in 1805 and headquartered in Geneva, Switzerland, with 30 offices worldwide and over 5200 employees.
Technology & Operations (Tech & Ops) drives key innovations while sustaining business operations. Tech & Ops employs over 1,500 staff members and supports the Group’s business lines, specifically Pictet Wealth Management (PWM) and Pictet Asset Services (PAS).
Following the successful establishment of the Bank's European headquarters in Frankfurt a. Main, Bank Pictet & Cie (Europe) AG (BPAG) seeks to enhance its Data Office team to strengthen the data value chain with close collaboration to the Group’s Data Analytics team. Together you will support data-driven decision-making through indicators, dashboards, and applications. Effective collaboration with stakeholders across BPAG and the Group is crucial for delivering valuable insights.
Job description:
Your role
1. Dataernance: Operationalise BPAG’s dataernance framework and enhance standards for data management. Work on enhancing processes and standards for managing critical data. Conduct evaluations forpliance with regulations such as DORA and FINMA Circular 23/1 on operational risks. Support and lead dataernance workshops and initiatives.
2. Data engineering: Use SQL, Python, dbt, Prefect or other event-driven languages to establish and enhance data pipelines as part of our transformation. Create or improve Tableau dashboards for all of BPAG’s domains such as banking operations. Automate and innovate reporting, data quality andernance-related processes. Stay up to date on technology trends relevant to financial institutions and operations.
3. Data quality: Drive data quality activities and implement respective processes to align with Group data quality and regulatory requirements. Conduct root cause analyses and assessments for improvement. Use visualization tools to enhance data interpretation.
4. General responsibilities: Coordinate data-related projects on dataernance and quality. Act as a subject matter expert (SME) and support data-related training.
Profile description:
Your profile
Technical skills:
5. Proficiency in in SQL, Python, and tools like dbt and Prefect, with knowledge of Snowflake. Overall solid practical experience in data engineering or data science
6. Good understanding in dataernance and quality best practices and data-driven activities.
7. Understanding of data modeling and cleaning techniques.
Interpersonal skills:
8. Strong organizational andmunication skills.
9. Self-motivated, pro-active, and able to work independently in challenging environments.
10. Ability to build relationships and manage multicultural interactions.
11. Resilient under stress and willing to travel.
Qualifications and Experience:
12. Degree inputer Science, Mathematics, Statistics, or related field.
13. Professional certification (, CDMP, CIMP) is a plus.
14. 5-7 years’ experience in a similar position (Data Engineering, Data Quality, or related field).
15. Excellentmand of English, German and / or French is considered a plus.
We offer:
16. Engage in high-impact projects that drive innovation and enhance data-driven strategies.
17. Benefit from Pictet’smitment to professional growth with opportunities for training and development.
18. Join a dynamic team at the forefront of technology in a globally recognized financial institution.
Job ID 122330 43525253