Data Engineer — Build Scalable Cloud Pipelines & Data Lakes

Exact

Delft

On-site

EUR 60,000 - 85,000

Full time

Just now
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Benefits offered by this job

Thirteenth month bonus
8% holiday allowance
Loyalty days: up to 5 days
Giving Back days (3)

Job summary

Exact is seeking a data engineer to design, build, and optimize ETL pipelines and data storage systems. You will work with BI specialists and stakeholders to ensure data that supports analytics and reporting.

The role emphasizes data quality, security, and scalable architectures while collaborating across teams and documenting data models. The ideal candidate has a bachelor in IT or Data Science and about 2 years of relevant data engineering experience, with hands-on Azure Data Factory and

Qualifications

  • Bachelor degree in IT or Data Science, or Data Engineering.
  • Approximately 2 years of relevant data engineering experience.
  • Experience with Microsoft Azure cloud platforms.

Responsibilities

  • Design, develop, and maintain scalable ETL pipelines for data quality and availability.
  • Optimize data workflows and integrate data from multiple internal and external sources.
  • Design and maintain data storage solutions (databases, data warehouses, data lakes).
  • Develop data integration solutions to merge data from various sources.
  • Monitor and troubleshoot data infrastructure; document architecture and data models.

Skills

SQL
ETL development
Python
Data modelling
GIT

Education

Bachelor in IT/Data Science/Data Engineering

Tools

Azure
Data Factory
Microsoft Fabric
GIT

Job description

Exact is seeking a data engineer to design, build, and optimize ETL pipelines and data storage systems. You will work with BI specialists and stakeholders to ensure data that supports analytics and reporting.

The role emphasizes data quality, security, and scalable architectures while collaborating across teams and documenting data models. The ideal candidate has a bachelor in IT or Data Science and about 2 years of relevant data engineering experience, with hands-on Azure Data Factory and

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