Integration Engineer (Data Engineer)
New
Remote-first, work from anywhere in the world (workation)Full-TimeMiddle
Salary not disclosed
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Job Details
- Languages
- En B2
- Experience
- 2+ years of commercial experience as a Data Engineer, Integration Engineer, or in a closely related role.
- Required Skills
- PythonAzureREST APIRESTful APIsDatabricksGitHub Actions
Requirements
- 2+ years of commercial experience as a Data Engineer, Integration Engineer, or in a closely related role.
- Solid understanding of REST API design and integration patterns — comfortable consuming and orchestrating APIs across multiple systems.
- Hands-on experience with Databricks — running and managing jobs, understanding pipeline execution and orchestration.
- Practical knowledge of GitHub Actions for workflow automation, CI/CD, and cross-system triggering.
- Familiarity with the Power BI REST API or similar programmatic BI interfaces.
- Strong Python skills — scripting, automation, and API interaction in a data engineering context.
- Good understanding of cloud environments, preferably Azure.
- Strong analytical thinking, communication skills, and adaptability — able to navigate complex, multi-system environments and work effectively across teams.
- Fluent English communication, able to collaborate across international teams and client stakeholders.
Responsibilities
- Designing and implementing end-to-end integration solutions connecting custom application APIs, Databricks jobs, Power BI REST API, and GitHub Actions workflows.
- Building and maintaining robust API integrations — consuming, orchestrating, and exposing REST APIs across diverse client environments.
- Developing and managing Databricks jobs and pipelines as part of broader integration and data processing workflows.
- Automating GitHub Actions flows to orchestrate data processes, deployments, and cross-system triggers.
- Integrating with the Power BI REST API to support programmatic management of reports, datasets, and semantic models.
- Collaborating with data engineers, BI developers, backend engineers, and business stakeholders to translate requirements into reliable integration solutions.
- Troubleshooting and resolving cross-system issues — diagnosing failures across APIs, pipelines, and automation workflows.
- Following and contributing to best practices in integration design, error handling, logging, and documentation.
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