Data Engineer Snowflake/Agentic AI

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 a nd dare

A workplace culture that fosters creativity, diversity and autonomy

Our borderless, global framework, which enables seamless collaboration

The role

For the Senior Data Engineer role, it’s important to have a strong background in data engineering, specifically within Databricks and Azure. To effectively manage this project and move data between zones in Databricks, the ideal candidate should be proficient in SQL and Python. They should also be comfortable with Spark, data management, cloud services, and automation tools.

Role responsibilities

Demonstrate deep knowledge of the data engineering domain to build and support non-interactive (batch, distributed) & real-time, highly available data pipelines

Build fault-tolerant, self-healing, adaptive, and highly accurate data computational pipelines

Provide consultation and lead the implementation of complex programs

Develop and maintain documentation relating to all assigned systems and projects

Tune queries running over billions of rows of data running in a distributed query engine

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:

Agentic AI, Snowflake

SQL Server (T-SQL, query-heavy, not ORM)

PostgreSQL (read-only, for the Cargotel replica)

Python + FastAPI

scikit-learn (percentiles, outlier detection)

Understands acceptance/likelihood models (carrier-accept-probability logic)

Kafka (consuming, not building)

Can read C# well enough to extract logic (not write it)

AWS basics: S3, RDS, Secrets Manager, CloudWatch

Terraform (read fluency)

Proven industry experience executing data engineering, analytics, and/or data science projects or Bachelors/Masters degree in quantitative studies including Engineering, Mathematics, Statistics, Computer Science or computation-intensive Sciences and Humanities.

Nice to have qualifications

SQL Server (T-SQL, query-heavy, not ORM)

PostgreSQL (read-only, for the Cargotel replica)

If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn.

The benefits

This is a full time position based in Colombia

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

Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process.

Your application process

Once you apply, our Talent Acquisition team will review your application. If your skills and experience align with the role, we’ll reach out for next steps.

⚠️ Beware of recruitment fraud: Only engage with official Valtech email addresses ending in @valtech.com.

We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know.

About Valtech

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.

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