Azure Data Engineer -Integration & Automation (m/f/d)

Azure Data Engineer -Integration & Automation (m/f/d)

We are seeking an experienced Azure Data Engineer to deliver independent, outcome-based services for the development and optimization of Azure data pipelines, reporting solutions, and workflow automation. The consultant works autonomously using their own methods and tools.

Start:
End:
Volume: fulltime
Location: remote
Level: medium

Engagement Phases

• Q1 – Knowledge Transfer: Independent familiarization with existing landscape.
• Q2 onward – Service Delivery: Execution of defined outcomes.

Data Pipelines & Integration

• Build and maintain Azure Data Factory ETL/ELT pipelines.
• Integrate structured/unstructured data into Azure SQL .
• Monitor and optimize pipeline performance.

Data Visualization & Reporting

• Develop and improve Power BI datasets and dashboards.
• Apply strong DAX , Power Query, and data modelling practices.
• Define reporting requirements from stakeholder inputs.

Workflow Automation

• Create and maintain Logic Apps and Power Automate workflows.
• Implement monitoring, alerts, and error-handling.

Development & Deployment

• Use Azure DevOps for Git, CI/CD, and deployment automation.
• Maintain technical documentation, architecture, and runbooks.
• Apply secure development practices (RBAC, Key Vault, service principals).

Governance & Delivery

• Provide monthly progress and deliverable reviews.
• Ensure documentation meets agreed technical standards

Deliverables

• Operational data pipelines and integration workflows.
• KPI-aligned Power BI dashboards.
• Automated business workflows.
• CI/CD deployment pipelines.
• Complete technical documentation.

Required Skills

• Azure Data Factory (pipelines, data flows, triggers).
• Azure SQL (TSQL, modelling, performance tuning).
• Power BI (DAX, Power Query, data models).
• Logic Apps / Power Automate.
• Azure DevOps (Git, CI/CD).
• Strong documentation and troubleshooting skills.
• Ability to work independently and deliver outcomes end-to-end.

Nice-to-Haves

• Databricks or Synapse, ADLS, Parquet/Delta.
• IaC (Bicep, ARM, Terraform).
• Azure Monitor / Log Analytics.
• Python for data tasks.