Data Engineer

Vontobel; Zürich; On-site; CHF 110,000 - 150,000; Full time

Job summary

Vontobel is seeking a Data Engineer to shape a strategic data platform built on Snowflake, dbt, and Data Vault. You will design scalable data solutions, integrate data across the organization, and create reusable data products for analytics and reporting.

You will work with cloud-based architectures, CI/CD, and DataOps practices, ensuring data quality, lineage, and governance while collaborating with analysts and business stakeholders.

Qualifications

• Bachelor’s or Master’s degree in computer science, engineering, information systems, or a related discipline.
• Proven experience as a data engineer, analytics engineer, or in a similar role.
• SQL expert who thrives in complex data landscapes, creating elegant, highly efficient data flows.
• Deep understanding of data historization principles, bi-temporal and multi-temporal modeling."
• Good knowledge of Data Vault and dimensional modelling concepts within enterprise DWH.
• Hands-on dbt experience with model development, testing, and macros.
• Hands-on pandas and dataframe processing; Snowpark experience for scalable transformations.
• Experience with modern cloud-based data platform architectures (Snowflake, Databricks, etc.).
• Familiarity with Git-based workflows, CI/CD, and automated data testing.
• Proactive software development and architecture in C# or Rust is a plus.
• Experience in data quality management, governance, and metadata management.

Responsibilities

• Design, build, and maintain robust data pipelines on Snowflake using dbt.
• Develop and enhance Data Vault models (Hubs, Links, Satellites, and Business Vault components).
• Create reusable data products that support enterprise reporting, analytics, and regulatory requirements.
• Integrate data from diverse source systems into a centralized platform.
• Apply metadata-driven development to improve automation, consistency, and scalability.
• Collaborate with analysts, architects, and data consumers to translate requirements into solutions.
• Ensure data quality, lineage, and governance across the data lifecycle.
• Optimize data models and transformations for performance and cost efficiency.
• Contribute to CI/CD pipelines and automated data testing.
• Participate in DataOps practices and standardization across teams.
• Share knowledge to raise efficiency in a multi-team setup.

Skills

SQL

dbt

Snowflake

Data Vault

Pandas

Snowpark

CI/CD

Git

C# / Rust

Data governance

AI awareness

Education

Bachelor’s or Master’s degree in CS/Engineering/IS

Tools

Git

CI/CD pipelines

Job description

Join our Data Engineering team and help shape a strategic data platform based on Snowflake, dbt, and Data Vault. You will design scalable data solutions, integrate data from across the organization, and create trusted, reusable business objects that power analytics, reporting, and data-driven decision-making.

If you are passionate about modern data architectures, cloud technologies, and turning complex data into business value, we'd love to hear from you.

What would your role be?

• Design, build, and maintain robust data pipelines on Snowflake using dbt.
• Develop and enhance Data Vault models, including Hubs, Links, Satellites, and Business Vault components.
• Create reusable business objects and data products that support enterprise-wide reporting, analytics, and regulatory requirements.
• Integrate data from a wide range of source systems into a centralized data platform.
• Apply metadata-driven development principles to increase automation, consistency, and scalability.
• Collaborate with business analysts, architects, and data consumers to understand requirements and translate them into sustainable data solutions.
• Ensure data quality, traceability, lineage, and governance across the entire data lifecycle.
• Optimize data models and transformations for performance, maintainability, and cost efficiency.
• Contribute to CI/CD pipelines, automated testing, and DataOps practices.
• Participate in the continuous improvement of data engineering standards, frameworks, and development methodologies.
• Work at the core of the data platform, define patterns and best practices and act as a enabler in a multi team setup, sharing knowledge and raising the efficiency of other team-members with your contributions.

What are we looking for?

• Bachelor’s or master’s degree in computer science, engineering, information systems, or a related discipline.
• Proven experience as a data engineer, analytics engineer, or in a similar role.
• SQL expert who thrives in complex data landscapes, creating elegant, highly efficient, and maintainable data flows.
• Deep understanding of data historization principles (and pitfalls), including business, technical, and load-time timelines, bi-temporal and multi-temporal modeling, and related algorithms.
• Good knowledge of Data Vault and dimensional modelling principles and enterprise data warehousing concepts.
• Thorough experience with dbt, including model development and testing, and topics like sim ci, custom materializations and macros.
• Hands-on project experience with pandas and data frame based processing, complemented by Snowpark expertise in building scalable data transformations and analytical workflows.
• Experience with modern cloud-based data platform architectures (e.g. Snowflake, Data Bricks, etc.).
• Familiarity with git-based development workflows, modern data engineering practices, including CI/CD and automated data testing.
• Practical software development and architecture in languages such as C# or Rust is a plus.
• Experience in data quality management, data governance, and metadata management.
• Strong analytical thinking and problem-solving abilities.
• Good communication skills and the ability to work effectively with technical and business stakeholders.
• Affinity for Artificial Intelligence (AI) and a willingness to embrace AI-enabled tools and ways of working.

What do we offer?

• Top Zurich location with collaboration spaces and free lunch.
• Friendly, diverse team in an open-office space.
• All the latest technology to help you excel and advance.
• Agile environment in how we think, the way we work and our trust for each other.
• Flat hierarchy with collaboration at all levels.
• Campus feeling and a collaborative spirit.

Location Requirement

This role is based in Zurich but will move to Baar in 2030, ensuring close alignment with key stakeholders in the business.

Why Vontobel?

At Vontobel, you are building better futures for our clients and society, as well as for yourself. By 2030, we want to be known as one of the leading and most trusted global investment firms. We have 2,300+ engaged professionals, based in 25+ locations globally and headquartered in Zurich.

We are both majority family-owned and publicly listed. Our capacity for long-term focus, on topics such as sustainability, is underpinned by the security of the family’s 100-year commitment. Driven by an ownership mindset, you can unlock your potential and translate insights into opportunities. We are hiring talented individuals who are determined to deliver in a changing world and who come from a wide variety of backgrounds.

At Vontobel, we are an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability or gender identity.

We value the many voices within our teams and are committed to creating an environment where everyone who wants to be part of our performance culture can be themselves. It is based on mutual respect and zero tolerance for any form of discrimination.