The posting, in Valtech's own words
archived Sep 7, 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
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: , 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 (read fluency) Proven industry experience executing , 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.