Aspiring Data Engineer: Cloud Pipelines & Analytics

Sifra Thuss; Randstad; Híbrido; EUR 33.168 - 39.728; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Monthly salary of 3266 euros

At least 22.5 vacation days

Hybrid working and travel allowance

Guidance from a performance manager

Descripción de la vacante

Sifra Thuss is seeking a Junior Data Engineer in Flevoland, Netherlands. In this position, you will work within Agile data teams to build data platforms and ensure data quality for analytics and reporting. The role offers a contract-to-hire setup starting with Solid Professionals, with a focus on your professional development.

Responsibilities include developing data pipelines, transforming data, and collaborating with stakeholders. Candidates should hold a master’s degree in a related field and have up to 2 years of experience in data engineering.

Formación

• 0 to 2 years of experience in data engineering, through internships or projects.
• Basic knowledge of SQL and data modelling, interest in cloud environments.
• Structured way of working and interest in building solutions within Agile teams.

Responsabilidades

• Build and maintain data pipelines using Azure Data Factory and Databricks.
• Transform and model data for analytics and reporting.
• Set up data quality checks and monitoring.
• Work with SQL and possibly Python or PySpark.
• Contribute to CI/CD and deployments within a DevOps approach.
• Align with stakeholders on requirements and data deliveries.
• Support incident resolution related to data issues.

Conocimientos

SQL

Data modelling

Azure

Databricks

Python

PySpark

Agile

Educación

Master's degree in Computer Science, Data Science, or similar

Descripción del empleo

Sifra Thuss is seeking a Junior Data Engineer in Flevoland, Netherlands. In this position, you will work within Agile data teams to build data platforms and ensure data quality for analytics and reporting. The role offers a contract-to-hire setup starting with Solid Professionals, with a focus on your professional development.

Responsibilities include developing data pipelines, transforming data, and collaborating with stakeholders. Candidates should hold a master’s degree in a related field and have up to 2 years of experience in data engineering.