Lead Data Engineer- SnowFlake

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.

Data Engineering

• 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 CI/CD.
• Troubleshoot complex technical issues and support the team in finding pragmatic solutions.
• Help teams adopt modern and more efficient ways of working.

• 8+ years of experience in Data Engineering or a similar technical role.
• Strong hands-on Snowflake expertise.
• Proven experience leading or mentoring Data Engineers.
• Strong SQL and modern data pipeline experience.
• Experience with dbt, Airflow, Fivetran/Stitch or equivalent.
• Good understanding of data modelling, data quality and cloud data platforms.
• Strong communication skills in French and English (C1).
• Ability to balance hands-on engineering with team leadership., * You know how to get the best out of a team while remaining hands-on.
• You are a technical leader, not just a manager.
• You take ownership, make pragmatic decisions and keep delivery moving.
• You are curious about AI and the future of data engineering.
• Consulting or client-facing experience is a plus., * Snowflake Cortex / AI experience
• Python
• Kafka, Kinesis or Pub/Sub
• AWS, Azure or GCP
• Hightouch, Census or CDP platforms
• Snowflake or dbt certifications

Beyond a competitive compensation package, we offer:

• Flexibility, with remote and hybrid work options (country-dependent)
• Career advancement, with international mobility and professional development programs
• Learning and development, with access to cutting-edge tools, training and industry experts

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., 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., Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world.

At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more.

At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate.

Are you ready to create what’s next? Join us.

As per the AGG (General Equal Treatment Act) in Germany and equivalent in France, jobs must be advertised in a gender-neutral manner. We use the statement (all genders) to make it clear that this position is open to all genders in these countries, even if the job title itself can be translated or interpreted as “masculine” in the French or German language.