Design, build, and optimize modern cloud-based data platforms powering analytics, AI, and data products.
Work on scalable batch, streaming, and near-real-time pipelines, with a focus on data governance and observability.
Collaborate with data scientists and ML engineers to support GenAI and machine learning workflows.

Responsibilities:

Implement lakehouse architectures and medallion layering in Databricks or Fabric.
Orchestrate workflows using Airflow, dbt, or native tooling, ensuring automation and reliability.
Enable data serving layers and ensure data quality, lineage, and access control.

Must-Have Qualifications:

Strong hands-on experience with Apache Spark, Delta Lake, Python, and SQL.
Deep expertise in either AWS data services with Databricks or Azure/Fabric with Databricks.
Bring curiosity to business problems, applying analysis and recommendations to shape requirements.

Benefits:

Private health insurance, education program, and wellbeing program.
24 vacation days, free beverages, and company events.
Challenging projects, cool colleagues, and honest feedback culture.

Valtech

Valtech is an experience innovation company that helps brands unlock new value through data, AI, creativity, and technology. They foster a values-driven culture with an emphasis on inclusion, diversity, and professional growth.

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