Azure Data Engineer: Build Scalable Data Pipelines & Apps

In4Matic; Boom; Sur place; EUR 70 000 - 110 000; Plein temps

Résumé du poste

In4Matic is seeking an experienced Data Engineer to advance a large-scale digital transformation. You will design data products, build robust pipelines and collaborate with analysts and IT, enabling secure, reliable access to data for reporting and operations.

You will work in an agile SAFe environment, applying modern cloud data architectures and best practices to merge data from ERP and SaaS platforms into reusable data assets.

Qualifications

• Proven experience designing and building data products for reporting and integration.
• Strong background in scalable data pipelines across ERP, SaaS, and asset management data.
• Hands-on Azure cloud data stack with security by design principles.

Responsabilités

• Design, develop and maintain data products for reporting and operational integration.
• Build and maintain scalable data pipelines and integrations across enterprise and SaaS apps.
• Collaborate with data analysts and business stakeholders to understand data structures and requirements.
• Apply best practices around software-oriented data design, incremental data flows, data modelling and security.
• Contribute to digitalisation and adoption of innovative data technologies.
• Work with analysts using the data products for dashboards and reporting.
• Operate within an agile SAFe environment and manage changing priorities.

Connaissances

Python

SQL

PySpark

Azure Databricks

Apache Spark

Spark Structured Streaming

Delta Change Data Feed

Azure Data Factory

Azure Storage

Azure Key Vault

Azure DevOps

Azure Entra ID

Security by Design

Kimball star schemas

Data modelling

Source-data versioning

Outils

Azure Databricks

Apache Spark

SQL

Description du poste

In4Matic is seeking an experienced Data Engineer to advance a large-scale digital transformation. You will design data products, build robust pipelines and collaborate with analysts and IT, enabling secure, reliable access to data for reporting and operations.

You will work in an agile SAFe environment, applying modern cloud data architectures and best practices to merge data from ERP and SaaS platforms into reusable data assets.