We’re looking for a hands-on Technical Lead to design and deliver modern data platforms using Snowflake. You’ll lead technical architecture, build scalable data solutions and help customers turn business requirements into production-ready data and AI platforms.

Alongside delivery, you’ll contribute to presales, support client workshops and mentor engineers across a growing data practice.

Key responsibilities

• Design and implement scalable Snowflake data platforms and migrations.

• Build production data pipelines using SQL, Python, Snowpark and dbt.

• Develop AI/ML use cases using Snowflake Cortex and Snowpark ML.

• Own data modelling, governance, security, performance and cost optimisation.

• Automate deployments using CI/CD and Infrastructure as Code, ideally Terraform.

• Integrate enterprise data sources such as SAP, CRM and streaming platforms.

• Support presales through technical workshops, PoCs and solution design.

• Coach colleagues and contribute to technical best practices.

What we’re looking for

• 6+ years’ experience in data engineering, ideally within consulting.

• Proven experience delivering Snowflake projects in a technical lead or key engineering role.

• Strong knowledge of Snowflake architecture, performance tuning and cost optimisation.

• Strong SQL and Python skills, plus experience with dbt and modern data modelling.

• Experience with production data integration and orchestration tools.

• Hands-on AWS or Azure experience, including CI/CD and IaC.

• Exposure to AI/ML use cases, ideally using Snowflake Cortex.

• Strong communication skills and the ability to engage technical and business stakeholders.

• Fluent German and English.

Nice to have: SnowPro certification, Apache Iceberg, Streamlit, Coalesce or SAP BW transformation experience.

What’s on offer

• A specialist Snowflake environment with access to new technologies and certifications.

• Data and AI projects for established enterprise customers across the DACH region.

• The opportunity to influence technical direction and develop new services.

• A collaborative team with opportunities for mentoring and knowledge sharing.

• Flexible working arrangements and hybrid working from Zurich.

• Access to a wider network of data and AI specialists.