Data Engineer (Snowflake / Finance Data Platform)

PROSTAFF Schweiz GmbH; Zürich; On-site; CHF 120,000 - 180,000; Full time

Job summary

PROSTAFF Schweiz GmbH's client in the financial services industry seeks an experienced Data Engineer to design, build, and optimize Snowflake-based data pipelines. You will integrate multiple Finance sources, refine Data Marts, and implement scalable data solutions using SQL, Python, and modern ETL/ELT patterns.

You will collaborate with Finance teams and technical stakeholders to ensure data quality, automation, and reliable data delivery in a fast-paced environment.

Qualifications

• Several years of hands-on experience in Data Engineering and Data Warehousing.
• Strong expertise in Snowflake and SQL, particularly in designing and building scalable data pipelines.
• Solid experience in data modelling, ideally including Data Vault.
• Strong understanding of ETL/ELT processes and modern data integration architectures.
• Practical experience with Python for data processing, integration, and automation.
• Knowledge of CI/CD pipelines, DevOps practices, and deployment automation is an advantage.
• Collaborate with Finance teams, application developers, architects, and other technical stakeholders.
• Translate business requirements into scalable technical solutions.
• Document data flows, data models, and implemented technical solutions.

Responsibilities

• Design, develop, and maintain data pipelines from Finance applications and source systems into Snowflake.
• Further develop Finance Data Marts and underlying data models.
• Integrate new Finance data sources using modern ETL/ELT technologies and data integration patterns.
• Ensure data quality, reliability, and availability across Finance data flows.
• Analyze, troubleshoot, and resolve data integration issues, implementing sustainable solutions.
• Support automation, deployment processes, and modern engineering practices, including CI/CD and DevOps.
• Collaborate closely with Finance teams, application developers, architects, and other technical stakeholders.
• Translate business requirements into scalable technical solutions.
• Document data flows, data models, and implemented technical solutions.

Skills

Data Engineering

Data Warehousing

ETL/ELT

Data Modeling

Financial data knowledge

Analytical skills

Tools

Snowflake

SQL

Python

CI/CD

DevOps

Job description

For our client in the financial services industry, we are looking for an experienced Data Engineer specializing in Snowflake, SQL, and Python.

In this role, you will support the further development of a modern Finance Data Platform. The primary focus is on integrating financial data into Snowflake, enhancing existing Finance Data Marts, and building scalable, reliable data pipelines.

• Design, develop, and maintain data pipelines from various Finance applications and source systems into Snowflake

• Further develop existing Finance Data Marts and underlying data models

• Integrate new Finance data sources using modern ETL/ELT technologies and data integration patterns

• Ensure data quality, reliability, and availability across Finance data flows

• Analyze, troubleshoot, and resolve data integration issues, implementing sustainable solutions

• Support automation, deployment processes, and modern engineering practices, including CI/CD and DevOps

• Collaborate closely with Finance teams, application developers, architects, and other technical stakeholders

• Translate business requirements into scalable technical solutions

• Document data flows, data models, and implemented technical solutions

• Several years of hands-on experience in Data Engineering and Data Warehousing

• Strong expertise in Snowflake and SQL, particularly in designing and building scalable data pipelines

• Solid experience in data modelling, ideally including Data Vault

• Strong understanding of ETL/ELT processes and modern data integration architectures

• Practical experience with Python for data processing, integration, and automation

• Knowledge of CI/CD pipelines, DevOps practices, and deployment automation is an advantage

• Strong analytical, problem-solving, and communication skills

• Experience working with financial data, Accounting, or Controlling is an advantage

• Structured, independent, and solution-oriented working approach