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Azure data platform engineer

Porto
iTRecruiter
Anunciada dia 24 outubro
Descrição

AZURE DATA PLATFORM ENGINEER (HYBRID PORTO)

Portuguese
company hires for hybrid position
Location: Porto, Portugal (Hybrid – 2x
per week in the office)
Candidates
must already live in Portugal
Language
Requirements: English and Portuguese (fluency required)
Seniority:
Minimum 5 years
Sector: Automotive Technology
Instructions:
Please send your CVs in English and make sure to include all skills and
experience that match the requirements of the opportunity. This will
significantly increase your chances of success
_______________________________________________________


About the Role

We are seeking an experienced Azure Data Platform Engineer
to join an innovative automotive
technology project focused on Aftermarket analytics.
This role involves developing, maintaining, and enhancing the data and
analytics platform within the Azure ecosystem — ensuring high scalability,
reliability, and performance for data-driven and AI-powered use cases.

The ideal candidate is a hands-on engineer with
strong expertise in Azure services,
data integration, and DevOps practices, who
thrives in collaborative and agile environments.


Main Responsibilities


Platform Development & Maintenance

·
Develop and maintain software components within the analytics
platform, focusing on Aftermarket-specific
functionalities.

·
Ensure that all components are scalable, secure, and optimized
for performance and cost efficiency.


Collaboration & Data Integration

·
Collaborate with Data Engineers, Data Analysts, and
business stakeholders to translate requirements into robust
technical solutions.

·
Integrate relevant
Aftermarket data sources, ensuring data quality and consistency
across the platform.

·
Contribute to the evolution of the platform architecture,
supporting both analytical and machine learning initiatives.


Automation & DevOps Excellence

·
Implement and maintain APIs, services, and automations
that support analytics and ML use cases.

·
Ensure best practices in DevOps, including CI/CD pipelines,
monitoring, logging, and infrastructure automation using Azure DevOps.

·
Proactively identify and adopt new technologies and frameworks
within the Azure ecosystem.


Mandatory Requirements

To be considered, your CV must clearly
include the following:

·
University degree in Engineering, Computer Science,
Mathematics, Statistics, Data Science, or related fields;

·
Minimum
5 years of experience as an Azure Platform Engineer;

·
Strong hands-on experience with Microsoft Azure services,
such as:

o Azure Data Factory

o Azure Functions

o Azure Synapse Analytics

o Azure DevOps

·
Proven experience in software development,
preferably in Python, .NET, or Java;

·
Demonstrated experience with data integration and pipeline development;

·
Familiarity with service-oriented and event-driven architectures;

·
Solid understanding of CI/CD pipelines, monitoring, and logging
best practices;

·
Excellent communication and problem-solving
skills;

·
Fluency in Portuguese and English
(spoken and written).


Valued Certifications (Nice
to Have)

Holding one or more of
the following certifications will be a strong advantage:

·
Microsoft
Certified: Azure Developer Associate (AZ-204)

·
Microsoft
Certified: Azure Data Engineer Associate (DP-203)


Soft Skills

·
Strong analytical
and problem-solving mindset;

·
Excellent communication
and interpersonal skills;

·
Proactive,
collaborative, and eager to learn new technologies;

·
Adaptable and comfortable working in agile environments;

·
Detail-oriented, focused on quality and reliability
in data delivery.


Work Model

·
Hybrid:
2 days per week on-site in Porto;

·
Collaborative environment with cross-functional data, analytics, and engineering teams
driving digital transformation in the automotive industry.


Keywords to Include in Your
CV

Azure Data Platform
• Azure Engineer
• Azure
Data Factory
• Azure Functions
• Azure Synapse
• Azure DevOps
• CI/CD
• Python

• .NET
• Java
• Data Pipelines
• Event-Driven Architecture
• Cloud Data
•
Aftermarket Analytics
• DP-203
• AZ-204
• Porto
• Hybrid
• Automotive Tech

# 00316777

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