Senior Data & Integration Engineer – Incident Management Platform

📋 Description

• Design, develop, and maintain production-grade API and webhook integrations connecting alerting
• Build and implement AI-agent integrations within Jira workflows, including tool calling, structured
• Develop reliable and scalable data pipelines using Databricks, Delta Lake, PySpark, and SQL to
• Ensure data pipeline reliability through incremental ingestion, idempotent processing, schema
• Design and maintain governed incident data models and curated datasets supporting operational and
• Establish and maintain data governance practices, including documented data lineage, access

🎯 Requirements

• At least 5 years of professional experience in Data Engineering, Backend Integration Engineering
• Proven experience designing, developing, and maintaining production-grade data pipelines, backend
• Strong hands-on expertise with Databricks, Delta Lake, and PySpark or Spark SQL in production
• Experience working with Databricks jobs, workflows, medallion architecture, and incremental data
• Demonstrated ability to build and maintain REST APIs, webhooks, and lightweight backend services
• Strong understanding of API authentication, retry mechanisms, rate limiting, error handling, and

🎁 Benefits

• Work arrangement: 100% remote position.
• Contract duration: Initial 3-month contract, with the possibility of extension to 6 months.
• Strategic impact: Opportunity to contribute to a high-visibility engineering initiative involving
• Technical environment: Hands-on exposure to modern technologies, including Databricks, Delta Lake
• International collaboration: Work with a multicultural, globally distributed team and experienced
• Professional development: Opportunities to expand technical expertise and contribute to complex