Open role · Engineering

Azure Data Engineer

Work mode: Remote (EST) Engagement type: Contract (extendable) Req ID: GDBI-8A3F1C7D

Role summary

Design and deliver maintainable Azure data products, integration frameworks and cloud architectures that move enterprise data from fragmented sources into reusable, governed platforms.

What you’ll do

Lead architecture and implementation of Azure data and integration solutions across the delivery lifecycle.
Build and optimize data pipelines, warehouses, lakes and service layers using Azure-native technologies.
Support cloud migration, security, performance tuning, monitoring and operational reliability.
Design load processes with logging, exception handling and support visibility built in.
Collaborate with governance teams so lineage, reuse and controls are understood from source to consumption.
Translate complex business and technical requirements into scalable data architectures.

What you should bring

Extensive enterprise data-engineering and data-solutions architecture experience.
Strong Python, SQL, Databricks and Azure Data Factory / Azure data-platform skills.
Experience with data modeling, integration, orchestration and enterprise pipeline tooling.
Ability to lead large delivery workstreams and communicate with technical and non-technical stakeholders.
Working knowledge of data management, governance and database architecture.
Current Microsoft Azure certifications required by the role; provide verification links with the application.

Useful additional experience

Power BI for platform monitoring and analytics
Experience across Azure and AWS
Large-scale cloud migration experience
Bilingual English/French

How we work

NoèmeX teams stay close to the business problem and the production system. You may work across client delivery, platform development or internal capabilities depending on the role. We value clear specifications, maintainable architecture, disciplined execution and direct communication.

Hiring process

The exact assessment varies by role. Shortlisted candidates should expect an initial conversation followed by a role-relevant technical, practical or structured panel assessment before a final decision.

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