Sansaone

Azure Data Engineer (SNS01735)

Brussels, Brussels, BE

3 days ago
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Summary

Job Description

Your responsibilities

  • reporting purposes accessed via Power BI. Implementing final reports and dashboards is not your direct responsibility, but you will of course work closely with analysts and purchasing data stakeholders.
  • operational integration purposes. Several integrations between Rydoo, SAP S/4HANA, SAP SuccessFactors, IBM AS400, IBM Maximo, etc. have already been set up via Azure cloud and need to be further expanded/maintained.
  • Propagate and implement industry standards regarding software-oriented data design, incremental data flows, data modeling, security, etc.
  • Analyze data together with analysts and business stakeholders and gain insights into the structure and coherence of the data.
  • Actively contribute to the further digitalisation of Aquafin and the implementation of innovative technologies.

competencies

  • You work smoothly with colleagues across different departments.
  • You function within the agile SAFe planning data and you deal proactively and communicatively with changing and/or overlapping priorities.
  • Experience in importing and processing data from ERP and asset management systems is considered an added value. In our environment, we integrate data from SAP S/4HANA, SAP SuccessFactors, IBM AS400 and IBM Maximo, among others.
  • Furthermore, data is also imported and processed from various SaaS platforms such as Power BI and SharePoint. Experience with APIs is therefore also a plus.

Requirements

  • Azure Cloud Data Platform
  • PySpark
  • Python
  • SQL
  • Technologies
  • Azure Databricks
  • Spark Structured Streaming, Delta Change Data Feed
  • Azure Data Factory
  • Azure Storage
  • Azure Key Vault
  • Azure DevOps
  • Functional: Kimball Star Modeling, Dimensions & Facts
  • Fundamental: AS IS source data versioning history
  • Azure Entra ID (Service Principals, Managed Identities, enz.)
  • Encryption, network security, etc.

Skills

  • Azure Data Factory
  • Databricks
  • Python
  • Spark

Languages

  • Dutch
  • English

Hiring Team Member

Oplus_131072

Bindu Madhavi

HR Associate

  • LinkedIn
  • Mail

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