Senior Data & AI Engineer – Snowflake (all genders) Zürich

Valantic; Zürich; Hybrid; CHF 140,000 - 180,000; Full time

Job summary

Valantic is seeking a Senior Data & AI Engineer – Snowflake (all genders) to lead architecture and implementation of modern data platforms on Snowflake from design to production. You will build scalable pipelines using SQL, Python/Snowpark, and dbt, and integrate SAP/CRM streams while applying Cortex AI capabilities.

You will drive best practices, cost optimization, and CI/CD/IaC automation, coaching colleagues and expanding the Snowflake community across the DACH region.

Qualifications

• Degree in Computer Science, Business Informatics, Data Science or a comparable qualification, with at least 6 years of data engineering experience.
• Multiple Snowflake projects in a key role, including cross-department platforms or migrations from legacy systems.
• Strong SQL and Python skills, with dbt and modern data modeling (star schema, Data Vault).
• Experience with data integration/orchestration (Airflow, Dagster, Fivetran, Openflow) and CI/CD/IaC.
• Experience with at least one hyperscaler (AWS/Azure) and Snowflake Cortex or Snowpark ML is a plus.
• Fluency in German and English.

Responsibilities

• Architect and implement modern data platforms on Snowflake from target architecture to production operations.
• Translate business requirements into robust technical solutions and establish Snowflake best practices.
• Build scalable data pipelines with SQL, Python/Snowpark and dbt, integrate source systems (SAP, CRM, streaming).
• Automate deployments with CI/CD and IaC; coach colleagues and grow the Snowflake community in DACH.
• Lead workshops/PoCs, estimate effort and shape proposals for sales/presales.

Skills

SQL

Python

dbt

Snowflake

Data modeling

Airflow

Dagster

Fivetran

Openflow

CI/CD

IaC

Snowflake Cortex

Snowpark ML

German

English

Architect / Lead

Education

Degree in Computer Science or Data Science

Tools

Snowflake

Terraform

Cloud (AWS/Azure)

Job description

Senior Data & AI Engineer – Snowflake (all genders)

Effective Field

As a Technical Lead, you are responsible for the architecture and implementation of modern data platforms on Snowflake – from target architecture to productive operations. Together with business and IT, you translate business requirements into robust technical solutions and establish Snowflake best practices in your teams.

You build scalable data pipelines with SQL, Python/Snowpark and dbt, using Streams, Tasks, Dynamic Tables and UDFs, and integrate source systems such as SAP, CRM and streaming data. With Snowflake Cortex AI (e.g. Cortex Search, Cortex Analyst, Agents), you implement GenAI and ML use cases directly on the platform.

You ensure quality and cost efficiency through clean data modeling, governance with Snowflake Horizon, role and access concepts as well as performance and cost optimization. You automate deployments with CI/CD and Infrastructure as Code (e.g. Terraform) on AWS or Azure. In sales/presales, you run workshops and PoCs, estimate effort and help shape proposals. You coach colleagues and actively build our Snowflake community in the DACH region.

What distinguishes you

• Degree in Computer Science, Business Informatics, Data Science or a comparable qualification, and at least 6 years of experience in data engineering, ideally in consulting
• Several successfully delivered Snowflake projects in a key role, e.g. cross-departmental platforms or migrations from legacy systems (Oracle, Teradata, SAP BW)
• Deep understanding of Snowflake architecture (warehouse sizing, clustering, caching, query tuning, monitoring and cost optimization)
• Strong SQL and Python skills, experience with dbt and modern data modeling (e.g. star schema, Data Vault)
• Experience with data integration and orchestration of production pipelines (e.g. Airflow, Dagster, Fivetran or Openflow)
• Hands-on experience with at least one hyperscaler (AWS or Azure) as well as CI/CD and IaC
• Experience with AI/ML use cases, ideally with Snowflake Cortex or Snowpark ML
• Structured, accountable way of working and the ability to explain complex topics clearly to both business and IT stakeholders
• Fluent in German and English

Nice to have

• SnowPro Certification (Core or Advanced)
• Experience with Coalesce, Apache Iceberg or Streamlit
• Experience with SAP BW transformations

What you can expect

• Snowflake focus with strong backing: As a Snowflake Elite Partner, we offer you direct access to Snowflake, early access to new features and a growing internal Snowflake community.
• Certifications & learning: We cover the costs for your SnowPro and cloud certifications.
• Projects with impact: You work on data and AI platforms for well-known customers in the DACH region – from strategy to go-live.
• Entrepreneurship as a core value: If you have an idea, you get the space and backing to realize it – from our internal accelerator to new service offerings.
• A team that has your back: Appreciation, short decision paths and colleagues who enjoy sharing their knowledge. We shape your path together with you.
• Flexible working: Flexible working hours, the option to work from home, and a modern, centrally located office in Zurich where we like to meet – to work, for team days and to celebrate.
• Growing through networks: Exchange with data & AI experts across the valantic group and within the Snowflake Elite Partner community, which you actively help shape.