Senior Data Engineer

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.

The role

The Senior Data Engineer role requires a strong background in data engineering, specifically within Databricks and Azure. The ideal candidate should be proficient in SQL and Python, 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) and 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 a Bachelors/Masters degree in quantitative studies including Engineering, Mathematics, Statistics, Computer Science, or computation-intensive Sciences and Humanities.