Data Engineer: Scale Data Pipelines in the Cloud

Sifra Thuss; Utrecht; Hybrid; EUR 70,000 - 90,000; Full time

Benefits offered by this job

Professional development

Azure & Databricks training

Job summary

Solid Professionals is seeking a Data Engineer to design, build and optimize data infrastructures for analytics across client environments. You will develop data pipelines, work with cloud platforms and contribute to architectural decisions to ensure reliable, scalable data for business use.

The role requires a strong SQL/Python background, 3+ years of experience, and a readiness to deepen skills in PySpark, Databricks, and Azure.

Qualifications

• Master's degree is required.
• Minimum of 3 years of experience as a data engineer or in a similar role.
• Strong knowledge of SQL and Python.
• Experience with PySpark and Databricks, or willingness to develop quickly.
• Experience with Azure or a comparable cloud platform.
• You live in the Netherlands and are available full time.

Responsibilities

• Design, build and optimize data infrastructures in complex environments.
• Develop and maintain data pipelines and work with cloud platforms.
• Contribute to technical and architectural decisions to ensure reliable data for analytics.
• Collaborate with clients to provide scalable data solutions.

Skills

SQL

Python

PySpark

Databricks

Azure

Education

Master's degree in Computer Science / Information Science / Mathematics / Data Science / Artificial Intelligence

Job description

Solid Professionals is seeking a Data Engineer to design, build and optimize data infrastructures for analytics across client environments. You will develop data pipelines, work with cloud platforms and contribute to architectural decisions to ensure reliable, scalable data for business use.

The role requires a strong SQL/Python background, 3+ years of experience, and a readiness to deepen skills in PySpark, Databricks, and Azure.