Azure Data Engineer: Databricks, Pipelines & Governance

NISH Tech BV

Brussel

Sur place

EUR 60 000 - 90 000

Plein temps

Il y a 20 heures
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Résumé du poste

NISH Tech BV is seeking a Data Engineer to join the data organization supporting a leading European energy and electricity transmission company. You will design and implement data pipelines, enrich data with Python in Databricks, and work with SQL Server for processing.

In an Agile product team, you will collaborate with analysts and stakeholders, contribute to testing and DevOps, and deliver reusable, well-documented data products across the enterprise.

Qualifications

  • Hands-on experience with data pipelines and analytics.
  • Proficient in SQL Server and Python for data processing.
  • Experience in Azure-based data solutions and Databricks.
  • Strong problem-solving and communication with stakeholders.

Responsabilités

  • Design and implement scalable data pipelines.
  • Develop data enrichments using Python in Databricks.
  • Work with SQL Server for data processing and management.
  • Implement Azure-based data solutions and services.
  • Collaborate with business analysts and stakeholders to refine requirements.
  • Contribute to testing, DevOps practices and documentation.
  • Promote reusable, well-documented data products across the enterprise.
  • Contribute to data governance activities such as glossary and lineage.

Connaissances

Analytical mindset
Stakeholder management
Product-oriented mindset
Communication skills

Outils

SQL Server
Python
Azure
Databricks
Azure Data Factory
Azure Functions
Azure Synapse

Description du poste

NISH Tech BV is seeking a Data Engineer to join the data organization supporting a leading European energy and electricity transmission company. You will design and implement data pipelines, enrich data with Python in Databricks, and work with SQL Server for processing.

In an Agile product team, you will collaborate with analysts and stakeholders, contribute to testing and DevOps, and deliver reusable, well-documented data products across the enterprise.

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