Senior AI Solutions Engineer transforming business by delivering AI - powered solutions and enhancing internal efficiency. Collaborates with technical teams and drives impactful AI initiatives.
About the role
- Data Engineer designing and implementing data architecture and integration solutions for HubSpot at TRIALTA. Collaborate with clients to optimize CRM data architecture across DACH region.
Responsibilities
- Design and develop system interfaces (file-based: JSON, XML, CSV, XLSX; API-based: REST)
- Independently plan and execute data migrations into target systems (CRMs such as HubSpot, Dynamics, Salesforce; ERP systems and others)
- Perform data mapping and transformations between heterogeneous systems
- Implement error handling, logging and monitoring for robust integration processes
- Develop custom coded workflow actions in HubSpot (Node.js)
- Develop HubSpot serverless functions (Node.js)
- Build HubSpot UI extensions (frontend React, backend Node.js)
- Create technical specifications and documentation in Confluence
Requirements
- At least 3 years of professional experience as a Data Engineer with demonstrable project experience
- Technical must-haves: Strong Python
- REST APIs
- Common data formats (JSON, XML, CSV)
- Error handling, retry logic, and logging
- GitHub
- Ideally also: Node.js
- React
- Experience with CRM systems (HubSpot, Dynamics, Salesforce) or ERP systems
- Webhooks
- SQL / database knowledge
Benefits
- Regular training and continuing education, including HubSpot, API technologies, and data architecture
- Flexible hybrid working model and competitive compensation
- Team with a true hands-on mentality, flat hierarchies, and strong team cohesion
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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