Data Engineer - Snowflake

About the role

Data Engineer - Snowflake (all genders)

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience.

The opportunity

At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries.

We are proud of:

- The work we do and the innovation we drive

- Our values of share, care and dare

- A workplace culture that fosters creativity, diversity and autonomy

- Our borderless, global framework, which enables seamless collaboration

The role

For the Data Engineer- Snowflake (all genders) role, it's important to have a strong hands-on background in modern data engineering, specifically within Snowflake and dbt, with experience working in Azure environments. The ideal candidate should be proficient in advanced SQL and Python, comfortable building and maintaining production-grade ELT/data pipelines, and able to work autonomously across data modelling, orchestration, monitoring and troubleshooting. Experience with Agentic AI is a plus but is not a core requirement for this role.

- Design, develop and maintain dbt models, tests and documentation, applying strong data quality and modelling practices.

- Apply Git, CI/CD and engineering best practices to ensure maintainable, testable and reliable data products.

- Collaborate effectively with client teams, architects, analysts and external partners in an international environment.

Role responsibilities

- Demonstrate deep knowledge of the data engineering domain to build, maintain and support robust batch and scheduled data pipelines in production environments.

- Build reliable, fault-tolerant and observable data pipelines with appropriate monitoring, testing and recovery mechanisms.

- Take ownership of complex data engineering workstreams and drive implementation from technical design through production support.

- Develop and maintain documentation relating to all assigned systems and projects.

- Optimise Snowflake queries and data models for performance, scalability and cost across large datasets.

- Perform root cause analysis to identify permanent resolutions to software or business process issues.

Must have qualifications

To be considered for this role, you must meet the following essential qualifications:

- Strong dbt experience: model development, testing, documentation, dependency management and deployment practices.

- Strong hands-on Snowflake experience in production environments, including performance optimisation and troubleshooting.