onsite
Data Engineer - AI
Data Engineer
We are seeking a Data Engineer with AI focus to design, build, and maintain robust data pipelines on Azure, implement CI/CD practices, develop DAX models, and ensure high data quality for analytics and machine‑learning workloads.
About the role
Key Responsibilities
- Design, develop, and optimize end‑to‑end data pipelines on Azure using services such as Azure Data Factory, Synapse, and Databricks.
- Implement CI/CD pipelines (Azure DevOps/GitHub Actions) to automate deployment, testing, and monitoring of data solutions.
- Create and maintain DAX calculations and data models for Power BI and other analytics platforms, supporting AI‑driven insights.
- Establish data quality frameworks, perform profiling, validation, and remediation to guarantee reliable downstream consumption.
- Collaborate with data scientists, analysts, and business stakeholders to translate requirements into scalable data architectures.
Requirements
- Strong experience with Azure data services (Data Factory, Synapse, Databricks, Blob Storage).
- Proficiency in building CI/CD pipelines for data engineering workloads.
- Deep knowledge of DAX, data modeling, and Power BI or similar visualization tools.
- Demonstrated ability to implement data quality checks, monitoring, and governance.
- Solid SQL skills and familiarity with Python or Scala for data transformation.