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

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

Jessica
Bläsche

Manager Düsseldorf jessica.blaesche@mbade.com +49 (0) 211 58658000