Data Engineer | Azure Data Platform & Pipelines | Hybrid

NN Group

Den Haag

Hybrid

EUR 52,000 - 69,000

Full time

3 days ago
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Benefits offered by this job

13th month and holiday allowance paid
BeFrank pension
Training opportunities
NS Business Card 2nd class
Home office allowance
Internet use allowance

Job summary

NN Group's Savings, Investments & Bancassurance Data Fabric team is building a modern, scalable data platform in Azure. As a Data Engineer, you design, build, and maintain scalable data pipelines and data products that support business, operational, and regulatory needs.

You will integrate data from many sources, ensure data quality, security and governance, and collaborate with architects, analysts and product owners to deliver reliable, future-proof data solutions using Databricks, SQL, Python

Qualifications

  • 2 years of experience in data engineering.
  • Experience with data governance, metadata management, and security controls in regulated environments.
  • Familiarity with DevOps practices and CI/CD pipelines.
  • Proven experience in Databricks, SQL for complex transformations and performance tuning, Python for data processing and automation, Working on Azure cloud platforms & ETL orchestration tools (e.g. Azure Data Factory)

Responsibilities

  • Design, build, and maintain scalable data pipelines and data products
  • Integrate and manage data from multiple internal and external sources
  • Ensure data quality, security, governance, and regulatory compliance
  • Support the migration and modernization of data platforms and applications
  • Collaborate with business and IT stakeholders to deliver reliable and future-proof data solutions

Skills

Databricks
SQL
Python
Azure
CI/CD

Education

Bachelor's degree in computer science, engineering, finance, or related field

Tools

Azure Data Factory
Databricks
Azure
Python

Job description

NN Group's Savings, Investments & Bancassurance Data Fabric team is building a modern, scalable data platform in Azure. As a Data Engineer, you design, build, and maintain scalable data pipelines and data products that support business, operational, and regulatory needs.

You will integrate data from many sources, ensure data quality, security and governance, and collaborate with architects, analysts and product owners to deliver reliable, future-proof data solutions using Databricks, SQL, Python

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