Data Engineer (DBX, dbt)

Webellian is a well-established Digital Transformation and IT consulting company committed to creating a positive impact for clients in sectors such as insurance, banking, healthcare, retail, and manufacturing. The company focuses on innovative and disruptive technologies and collaborates deeply with clients to accelerate their vision and strategy.

• Strong experience with Databricks (DBX)
• Advanced knowledge of Python, including experience with Pydantic (plus) and PydanticAI (strong advantage)
• Solid experience building and optimizing ETL/ELT pipelines
• Very good knowledge of SQL and relational databases
• Experience with PySpark
• Familiarity with dbt (plus)
• Experience with Azure Data Services (advantage)
• Knowledge of CI/CD practices and tools (e.g., GitHub)
• General understanding of infrastructure, orchestration, and IT security principles
• Proven Senior level experience in Data Engineering
• Bachelor’s or Master’s degree in a technical field or equivalent experience
• Fluent English (written and spoken)
• DevOps mindset (“you build it, you run it”)
• Ability to understand complex requirements and translate into actionable solutions
• Strong communication skills and ability to work with cross-functional teams
• Attention to detail regarding data quality and business logic
• Proactive attitude, ownership, and willingness to learn new technologies
• Experience in the insurance domain (plus)

• Build a training dataset for document processing and decision support
• Design and implement end-to-end data pipelines including ingestion, transformation, storage, and consumption
• Prepare and maintain high-quality training datasets for machine learning models
• Work with large-scale data on a modern cloud data platform (Databricks)
• Apply best practices in data engineering, testing, and deployment
• Collaborate closely with data scientists, engineers, and business stakeholders
• Continuously improve performance, reliability, and automation of data workflows

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