Data Integration Specialist

TESTQ Technologies LTD.

Amsterdam

Hybrid

EUR 60,000 - 90,000

Full time

7 days ago

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Job summary

TESTQ Technologies LTD. is seeking a Data Integration Specialist for a contract, hybrid role in Amsterdam. You will design and maintain ETL/ELT pipelines, integrate data from databases, APIs and cloud platforms, and ensure data quality and governance.

You will collaborate with data engineers, analysts, and software developers, working across data warehouses and lakes with SQL, Python, and Java in multi-cloud environments.

Qualifications

Experience integrating data from databases, APIs, cloud platforms, and enterprise applications.
Building and maintaining ETL/ELT pipelines.
Ensuring data quality, consistency, and accuracy.
Troubleshooting data integration issues and optimizing workflows.
Working with data warehouses and data lakes.

Responsibilities

Integrating data from databases, APIs, cloud platforms, and enterprise applications.
Building and maintaining ETL/ELT pipelines.
Ensuring data quality, consistency, and accuracy.
Troubleshooting data integration issues and optimizing workflows.
Working with data warehouses and data lakes.
Collaborating with business analysts, data engineers, and software developers.
Monitoring data pipelines and implementing data governance and security practices.

Skills

SQL

Python

Java

ETL/ELT pipelines

Tools

Microsoft SQL Server

Oracle Database

MySQL

AWS

Azure

Google Cloud

Job description

TQUSI0819_5754 - Data Integration Specialist

Job Type: Contract,Permanent

Work Mode: Hybrid (3 Days from office)

Typical responsibilities include:

Integrating data from databases, APIs, cloud platforms, and enterprise applications.
Building and maintaining ETL/ELT (Extract, Transform, Load) pipelines.
Ensuring data quality, consistency, and accuracy.
Troubleshooting data integration issues and optimizing workflows.
Working with data warehouses and data lakes.
Collaborating with business analysts, data engineers, and software developers.
Monitoring data pipelines and implementing data governance and security practices.
SQL and database management (e.g., Microsoft SQL Server , Oracle Database , MySQL )
Programming languages such as Python and Java
Data warehousing concepts
Cloud platforms such as Amazon Web Services , Microsoft Azure , and Google Cloud