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Description
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: 02.02.26
End: 31.08.26
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 (T?SQL, 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.
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