City of Work: Malmö, Skåne County, Sweden
Availability: 100%
Ways of working: hybrid
Start date: 2026-01-07
End date: 2026-03-31 - possibility to be prolonged

The Integration Specialist will support the Solution Architect by taking operational and coordinating responsibility for integrations, technical solution design, and daily delivery.

Main Responsibilities

Technical Integration:

• Coordinate and implement integrations between data sources and external systems using Model Context Protocol (MCP)
• Ensure APIs and data delivery function as required and are properly documented.
• Manage versioning and change management for integrations.

Solution Support:

• Serve as the “go-to” person for developers and data engineers regarding integration, API structure, and technical dependencies.
• Participate in daily stand-ups and sprint planning to identify and remove technical obstacles.
• Follow up and report on the status of integration-related deliveries.

Quality Assurance:

• Ensure integrations are tested and validated against requirements.
• Collaborate with "DevOps" to automate testing and deployment of integrations.

Documentation & Knowledge Sharing:

• Document integration flows, API endpoints, and technical decisions in Confluence / JIRA.
• Contribute to knowledge transfer within the team and to other subgroups.

Required Skills and Experience

Technical Background:

• Experience with system integration, API development (REST), and data platforms (e.g., Databricks).
• Understanding of cloud-based architecture and CI/CD processes
• Experience with version control and automation.

Communication Skills:

• Strong collaboration skills and experience working in cross-functional teams.
• Ability to translate technical requirements to development teams and vice versa.

Problem-Solving:

• Proactive in identifying and resolving integration issues.
• Structured and solution-oriented.

Example Tasks

• Develop and maintain APIs for data delivery and context (MCP integration)
• Implement role-based access (AD groups)
• Package context for LLM
• Build logging and session tracking
• Set up versioning for data products
• Refactor/extract logic for invoice processing
• Establish requirements for, or create, new data products for specialised analytics
• Establish requirements for, or create, pipelines for customer-specific data aggregation

Language: English