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

Michael Bailey Associates AG; Düsseldorf; Hybrid; EUR 80.000 - 100.000; Vollzeit

Zusammenfassung

A consulting firm is looking for an experienced Azure Data Engineer to optimize and automate data workflows. Key responsibilities include developing Azure data pipelines, creating Power BI dashboards, and implementing efficient workflows using Logic Apps. The ideal candidate will possess strong skills in Azure Data Factory, SQL, and Azure DevOps, with the ability to work independently. This role offers the opportunity to work remotely and contribute to innovative data solutions.

Qualifikationen

• Experience with Azure Data Factory for data pipelines.
• Strong skills in SQL performance tuning and modelling.
• Proficient in developing Power BI datasets and dashboards.
• Familiarity with Logic Apps and Power Automate for automation.
• Experience using Azure DevOps for CI/CD processes.

Aufgaben

• Develop and optimize Azure data pipelines and reporting solutions.
• Create and maintain efficient workflows using Logic Apps.
• Implement monitoring and error-handling for workflows.
• Provide monthly progress reports and deliverable reviews.
• Maintain technical documentation and adhere to standards.

Kenntnisse

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

Tools

Azure Data Factory

Power BI

Azure DevOps

Jobbeschreibung

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: 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 (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.