Senior Data Engineer, Automotive Tech - Azure Databricks

iTRTech Group; Vila Nova de Gaia; Hybrid; EUR 30,000 - 33,000; Full time

Job summary

iTRTech Group in Porto area is seeking a Senior Data Engineer to design and maintain scalable data solutions in the Automotive Tech sector. You will build reliable data pipelines and reusable data products across bronze, silver, and gold layers, ensuring quality, governance, and efficient processing on Azure platforms.

You will collaborate with data architects, business analysts, and stakeholders to automate workflows, implement CI/CD, and apply data vault and dimensional modeling practices.

Qualifications

• 5+ years of proven experience as a Data Engineer.

Responsibilities

• Design, implement, and maintain data pipelines and transformations using Databricks and Azure Synapse.
• Develop reusable, high-performance data products across bronze, silver, and gold layers.
• Integrate structured and unstructured data from SAP, Salesforce, and other internal or external systems.
• Ensure data quality, lineage, governance, and security compliance.
• Optimize processing for scalability, performance, and cost efficiency.
• Collaborate with the Data Architect, Business Analysts, and business stakeholders, automating workflows, testing, and deployment through CI/CD.

Skills

Python

PySpark

SQL

Azure Databricks

Azure Synapse

Data Vault

Dimensional modeling

Entity-Relationship modeling

CI/CD

Terraform

Azure DevOps

Git

Purview

Unity Catalog

Agile

DevOps

Tools

Azure Databricks

Azure Synapse

Azure Data Lake Storage

Azure Data Factory

Terraform

Azure DevOps

Git

Databricks Unity Catalog

Purview

Job description

iTRTech Group in Porto area is seeking a Senior Data Engineer to design and maintain scalable data solutions in the Automotive Tech sector. You will build reliable data pipelines and reusable data products across bronze, silver, and gold layers, ensuring quality, governance, and efficient processing on Azure platforms.

You will collaborate with data architects, business analysts, and stakeholders to automate workflows, implement CI/CD, and apply data vault and dimensional modeling practices.