Azure Data Engineer — ETL & Data Pipelines

Accountancy Gemak

Delft

On-site

EUR 55,000 - 82,000

Full time

13 days ago
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Benefits offered by this job

Thirteenth month bonus
Pension scheme
27 vacation days
Giving Back days
Training & coaching
International environment
Company events

Job summary

Accountancy Gemak seeks a skilled Data Engineer to build, optimize, and maintain data systems supporting analytics and reporting. You will collaborate with BI specialists and cross-functional teams to align data infrastructure with business goals and ensure reliable data pipelines.

The candidate brings around 2 years of data engineering experience, strong SQL, ETL, Python skills, and hands-on Azure Data Factory and Microsoft Fabric expertise.

Qualifications

  • Bachelor in IT or Data Science/Engineering; ~2 years of data engineer experience
  • Experience with Azure Cloud platform; Data Factory and Microsoft Fabric (Dataflows, Data pipelines)

Responsibilities

  • Design, develop and maintain scalable ETL pipelines for data quality and availability.
  • Design and maintain relational databases, data warehouses and data lakes.
  • Develop data integration solutions to merge data from various sources.
  • Monitor and troubleshoot data infrastructure and automate workflows to reduce downtime.
  • Collaborate with BI managers and stakeholders; document architectures and data models.
  • Ensure data governance, security and regulatory compliance.

Skills

SQL
ETL development
Python
GIT
Data modelling

Education

Bachelor in IT or Data Science/Engineering

Tools

Azure
Data Factory
Microsoft Fabric
Dataflows
Power BI

Job description

Accountancy Gemak seeks a skilled Data Engineer to build, optimize, and maintain data systems supporting analytics and reporting. You will collaborate with BI specialists and cross-functional teams to align data infrastructure with business goals and ensure reliable data pipelines.

The candidate brings around 2 years of data engineering experience, strong SQL, ETL, Python skills, and hands-on Azure Data Factory and Microsoft Fabric expertise.

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