ITSM Data Engineer

Fitura
Utrecht, Netherlands
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Utrecht, Netherlands

Tech stack

Airflow
Azure
Configuration Management
Information Engineering
Data Infrastructure
Data Integration
ETL
DevOps
Monitoring of Systems
Power BI
Technical Data Management Systems
Data Pipelines
Databricks

Job description

As a Data Engineering Specialist, you are the technical backbone of bank's service management platform. You operate within the "Global Data Platform" (Azure-based), ensuring that ITSM data is not just stored, but intelligently managed. You will translate complex business rules and service management requirements into robust technical solutions, ensuring that IT assets and service data are reliable, scalable, and secure., * Data Integration & ETL: Integrate data from various sources into the Global Data Platform using robust ETL processes.

  • Business Rule Implementation: Translate ITSM and CMS business requirements into technical logic and system rules.
  • Azure/Databricks Engineering: Manage and optimize data pipelines using Azure services and Databricks.
  • Power BI Governance: Manage Power BI workspaces and dataflows to provide clear insights for process owners.
  • Performance & Integrity: Continuously monitor system performance and data quality; document all processes and configurations to maintain auditability.
  • Stakeholder Collaboration: Work with business analysts and process owners to ensure the platform meets the needs of the wider organization.

Requirements

  • Technical Stack: Proficiency in Microsoft Azure (ADF, ADLS, DevOps), Databricks, and Apache Airflow.
  • Domain Knowledge: Strong understanding of IT Service Management (ITSM) and Configuration Management (CMS).
  • Engineering Rigor: Proven ability to build and maintain reliable data integration pipelines.
  • Soft Skills: Excellent analytical problem-solving skills and the ability to articulate technical data challenges to non-technical stakeholders in English.

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