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TRPD-26-04409
Azure Data Engineer (Backend + DevOps)
Hiring a permanent Azure Data Engineer with strong backend experience to build and support scalable Azure data pipelines and cloud-native backend services, with DevOps-enabled delivery. The role spans Azure Data Factory/Functions, Azure SQL and Storage (ADLS), Python + SQL processing, REST/FastAPI APIs, and containerized deployments on Azure, using GitLab CI/CD and VS Code for day-to-day engineering. You will support enterprise-grade data platforms, integrate multiple sources (APIs, DBs, files), implement production-grade monitoring/validation, and contribute to AI-enabled data solutions (AI Foundry/Azure AI, RAG, embeddings, vector/semantic search).
Position summary
- Location
- India
- Workplace
- On-site
- Employment
- Full Time
- Experience
- Minimum 5 years and Maximum 8 years
Role overview
Why This Role Matters.
Hiring a permanent Azure Data Engineer with strong backend experience to build and support scalable Azure data pipelines and cloud-native backend services, with DevOps-enabled delivery. The role spans Azure Data Factory/Functions, Azure SQL and Storage (ADLS), Python + SQL processing, REST/FastAPI APIs, and containerized deployments on Azure, using GitLab CI/CD and VS Code for day-to-day engineering. You will support enterprise-grade data platforms, integrate multiple sources (APIs, DBs, files), implement production-grade monitoring/validation, and contribute to AI-enabled data solutions (AI Foundry/Azure AI, RAG, embeddings, vector/semantic search).
Your Impact
Deliver Enterprise Value
Help organisations solve complex business problems through modern technology, consulting expertise and measurable outcomes.
Collaboration
Work Across Teams
Collaborate with consultants, architects, engineers and client stakeholders throughout the project lifecycle.
Growth
Learn Continuously
Gain exposure to enterprise technologies, certifications, mentoring and real-world project experience.
Career Path
Grow With Ubique
Build a long-term consulting career with opportunities to take on greater responsibility and leadership over time.
Responsibilities
What You'll Be Doing.
Every role at Ubique contributes directly to solving meaningful business challenges for our clients.
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who can work across cloud dataengineering, backend services, and DevOps-enabled delivery. The role requires strong hands-onexperience in building scalable data pipelines, backend APIs, cloud-native services, and automationworkflows on Microsoft Azure.
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The ideal candidate should be comfortable working with
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Azure Data Factory, Azure Functions, Azure
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SQL, Azure Storage, Azure Containers, AI Foundry, Python, REST APIs, GitLab, and VS Code
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. Therole will involve supporting enterprise-grade data platforms, integrating multiple data sources, buildingbackend services, and contributing to AI-enabled data solutions.
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Design, build, and support scalable data pipelines using
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SQL, Azure Storage, and Python-based processing frameworks
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Develop ETL/ELT workflows for ingesting, transforming, validating, and publishing data from multipleenterprise sources including APIs, databases, files, and cloud storage.
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Perform data validation, reconciliation, logging, exception handling, and monitoring for production-grade pipelines.
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Support cloud migration, data modernization, and platform automation initiatives within the Azureecosystem.
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Collaborate with business, application, and platform teams to deliver reliable and secure data solutions.
Technology stack
Tools & Technologies.
The platforms and technologies you'll use to build modern, enterprise-grade solutions.
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Microsoft Azure
Required
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Azure Data Factory
Required
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ADF
Required
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Azure Functions
Required
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Azure SQL
Required
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Azure Storage
Required
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ADLS
Required
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Azure Data Lake Storage
Required
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Python
Required
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FastAPI
Required
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REST API
Required
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ETL
Required
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ELT
Required
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CSV
Required
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JSON
Required
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XML
Required
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GitLab
Required
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CI/CD
Required
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VS Code
Required
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Containers
Required
Requirements
Skills & Experience.
We value curiosity, collaboration and continuous learning. If you don't meet every requirement but believe you can make an impact, we'd still love to hear from you.
Essential
Required Qualifications
Azure Data Factory (ADF)
Azure Functions
Azure SQL
Azure Storage / ADLS
Python
SQL
REST APIs
FastAPI (or similar Python backend framework)
Azure Containers / containerized deployments
GitLab (source control + CI/CD)
VS Code
ETL/ELT: ingestion, transformation, validation, publishing
Monitoring, logging, exception handling for pipelines/services
Production support for data engineering workloads
Preferred
Nice to Have
Azure AI Foundry
Azure AI services
LLM/RAG-based applications
Document embeddings
Vector search
Semantic search / intelligent retrieval
API-based enterprise integrations
CI/CD deployment automation (beyond basics)
Cloud migration and modernization projects
Microsoft Certified: Azure Solutions Architect Expert
Microsoft Certified: Azure Developer Associate
Microsoft Certified: Azure AI Engineer Associate
What you'll gain
More Than Just A Job.
We're committed to helping every team member grow professionally, personally and technically while working on meaningful projects.
Global Exposure
Collaborate with international clients and multicultural teams on enterprise programmes.
Continuous Learning
Expand your expertise through mentoring, certifications and hands-on project experience.
Career Growth
Take ownership, develop leadership skills and grow your consulting career over time.
Flexible Working
Hybrid and remote collaboration designed around trust and delivering exceptional outcomes.
People First
Join a supportive culture where collaboration, respect and long-term relationships come first.
Enterprise Projects
Work on meaningful technology initiatives for leading organisations across industries.
Apply
Apply for Azure Data Engineer (Backend + DevOps)
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