Senior Data Engineer

Quick Facts

• Role: Senior Data Engineer (hands-on backend and data development with solution architecture)

• Focus: Backend/data ownership, data modeling (EPD topic), data quality controls, Power BI integration, technical leadership

Description

You will take technical ownership of backend and data-related solutions, combining hands-on implementation with solution architecture and mentoring. During the initial phase, you will also own data modeling for the EPD topic. You will ensure reliable, scalable, and maintainable solutions with strong emphasis on data quality and traceability.

Responsibilities

• Take technical ownership of backend and data-related solutions within the HEART project

• Design and implement scalable, reliable, and maintainable backend solutions

• Work hands-on with Azure Databricks and enterprise data environments

• Design and maintain data models (including initial ownership of data modeling for the EPD topic)

• Define and implement data quality controls and data management processes

• Ensure data quality, consistency, reliability, and traceability across the data platform

• Integrate backend services, data platforms, and Power BI solutions

• Develop and maintain DAX solutions for reporting and analytics

• Review technical solutions and code from other team members

• Provide technical guidance and mentoring to developers

• Partner with customers to translate business requirements into robust technical solutions

• Support resolution of complex technical and architectural challenges

• Evaluate technical approaches and recommend proven solutions

• Contribute to development and implementation (not only architecture documentation)

• Ensure best practices for scalability, maintainability, performance, and data quality

• Support integration of AI functionalities into enterprise data environments as required

Requirements

• Extensive professional experience in backend development

• Strong experience in solution architecture within enterprise environments

• Hands-on experience with Azure Databricks

• Strong knowledge of data modeling and data management

• Extensive experience with data quality controls and data quality management

• Strong experience with Power BI

• Advanced DAX skills

• Experience integrating backend applications, data platforms, and Power BI solutions

• Proven ability to take technical ownership while remaining hands-on

• Experience conducting code and solution reviews and providing technical guidance

• Strong problem-solving skills for complex technical challenges

• Proven experience integrating AI functionalities into enterprise data environments (or comparable projects)

• Ability to communicate effectively with technical teams and customers

Benefits

Not specified in the provided posting.