The posting, in Valtech's own words
archived Sep 8, 2026Why 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.
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We are proud of:
The work we do and the innovation we drive Our values of share, care a nd dare A workplace culture that fosters creativity, diversity and autonomy Our borderless, global framework, which enables seamless collaboration
The role
As a Lead Tech Data Engineer — Snowflake (all genders), you will combine strong hands-on data engineering expertise with technical and people leadership. You will lead a team of around Data Engineers, ensuring high-quality delivery while staying close to the technology. As part of our Data & AI practice, you will work with enterprise clients on modern data platforms, with a strong focus on Snowflake, data engineering best practices and AI-ready data solutions,Client-focused.
You will thrive in this role if you are:
A strong hands-on Data Engineer who enjoys leading and mentoring others A pragmatic problem-solver who takes ownership of delivery Comfortable working across technical and business stakeholders Curious about AI and the evolution of modern data engineering
Role responsibilities
Team Leadership Lead and mentor a team of Data Engineers. Own day-to-day technical delivery, priorities and quality. Support team development through mentoring, feedback and knowledge-sharing. Review technical work and promote strong engineering practices. Stay hands-on, developing and improving Snowflake-based data solutions and pipelines. Build scalable ELT/ETL workflows using Snowflake, dbt, Airflow, Fivetran/Stitch or similar tools. Drive best practices around SQL, data modelling, testing, data quality and . Troubleshoot complex technical issues and support the team in finding pragmatic solutions. Help teams adopt modern and more efficient ways of working.