Open role

Azure Data Engineer

Remote (EST timezone) • Remote • Full-time Contract • Req ID: GDBI-8A3F1C7D

Apply Back to careers

Azure Data Engineer

Location: Remote (EST) • Type: Contract (extendable) • Status: Open
About Global Data and BI Global Data and BI is hiring on a rolling basis for Data, BI & analytics and ML/AI projects for large corporations. We deliver enterprise-grade services with certified engineers in AWS and Microsoft Azure / Power BI technologies, with a strong focus on transformation projects in the financial industry. Our mission is to transform the corporate data journey from complexity to strategic clarity, ensuring data is not just collected, but leveraged to drive smarter decisions, stronger businesses, and lasting impact.

Summary

Our teams integrate into the client's operations. As a data engineer, you will collaborate with business stakeholders and your data team to deliver a data product that is sustainable and highly maintainable long-term.

You will create data collection, extraction, and transformation frameworks for structured and unstructured data. You will develop data infrastructure systems (e.g. data warehouses, data lakes) including data access points, prepare and manipulate data using Azure Data Factory and other data pipeline tools, and organize data into formats and structures that improve reuse and efficient delivery to business and analytics teams and system applications. You will also integrate data across data lake, data warehouse and system applications to ensure information is delivered across the enterprise, and you will be accountable for efficient architecture and systems design.

What you'll do (roles & responsibilities)

  • Lead the architecture, design, and implementation of complex data architecture and integration solutions (best practices across SDLC, coding standards, code reviews, source control, build processes, testing, and operations)
  • Lead end-to-end Azure cloud migration projects, ensuring seamless transition from on-premises to cloud environments
  • Develop and enforce Azure security best practices and compliance policies in multi-cloud environments
  • Provide hands-on expertise in debugging, troubleshooting, and performance tuning Azure environments
  • Build and evolve the data service layer, bringing components together for an outstanding customer offering
  • Develop data pipelines using modern tools
  • Create efficient load processes including logging, exception handling, support notifications, and operational visibility
  • Perform database monitoring and collaborate with DBAs to optimize performance
  • Lead analysis of models, relationships, and attributes to determine efficient design solutions
  • Ensure adherence to standards for code, design, documentation, testing, and deployment
  • Collaborate with data governance and strategy to ensure lineage is well understood and supports reuse and simplicity
  • Assess opportunities to simplify operations using new tools/technologies and bring forward recommendations

What you should have (Must-Haves)

  • Bachelor's degree required (master's an asset) in Software Engineering, Computer Science, or equivalent work experience in a technology or business environment
  • Must-have certifications: AZ-900 Azure Fundamentals, Azure Data Fundamentals, Azure Developer Associate, Azure Administration Associate, Azure Solution Architect Expert, DevOps Engineer Expert
  • Minimum of 7 years of experience working in structured data engineering work processes
  • Minimum of 4 years of experience in Data Solutions Architecture
  • Minimum of 4 years of experience in integration solutions development with pipeline tools (Qlik, Talend, Informatica, DataStage, SSIS)
  • Demonstrated proficiency in Python, SQL, Databricks, and Azure services
  • Experience with cloud platform services such as Azure, AWS
  • Proficient in data modelling, data integrations, orchestration, and supporting methodologies
  • Proficient in leading large-scale projects (or major project steps) and communicating progress to technical and non-technical stakeholders
  • Proficient in multiple programming languages and engineering moderately complex enterprise solutions
  • Proficient in data management, governance, data design, and database architecture, including extracting value from large disconnected datasets
  • Ability to create Power BI dashboards for Azure performance monitoring, analytics, and reporting
  • Experience with DevOps pipelines (Git, Gitlab, Jenkins), CI/CD, automated testing (unit, functional, performance)
  • Ability to take initiative, operate independently, and drive complex data management projects to completion

Nice-to-Haves

  • Experience with project management and progress tracking tools
  • Experience with Agile development methodologies
  • Strong knowledge of data governance frameworks and practices (e.g., DAMA, RDM, MDM, Data Quality)

Work details

  • Location: Remote (EST timezone for all team members)
  • Reporting relationship: You will report to the Product Manager

Compensation

Competitive contract rates, adjusted to your local market and country of residence. Compensation is location-based and reflects regional market standards. We benchmark against leading technology companies in your country to ensure competitive, fair pay.

Our commitment to diversity, equity, and inclusion We're committed to employment equity and encourage women, Indigenous Peoples, persons with disabilities, veterans and persons of all races, ethnicities, religions, abilities, sexual orientations, and gender identities and expressions to apply. We also welcome applications from Latin America countries, as the position is remote.

What happens after you apply

Timeline: We aim to complete our process within 2-3 weeks of application.

Step 1
Apply Submit your application. If you applied before and were not successful, you are welcome to apply again.
Step 2
Initial call (1 hour) If pre-selected, we schedule an initial conversation.
Step 3
Panel interview (1h to 1h30) If shortlisted, you meet 3 experts in your domain.
Step 4
Hiring decision If selected, we send an offer and next steps, otherwise we inform you by email.
If you don't hear back from us after application or the initial call, it means we do not pursue your application.
Privacy Notice By clicking "Submit Application", I understand and agree that Global Data and BI Inc. and its affiliates will collect and process my information in accordance with Global Data and BI's Recruiting Privacy Policy available at https://globaldataandbi.com/en/recruiting-privacy-policy, and that my use of this application process is governed by Global Data and BI's Recruiting Terms and Conditions available at https://globaldataandbi.com/en/recruiting-terms
Apply

Submit your application

We’ll email you a verification link first. Once verified, your application enters our scoring + shortlist flow.

Used to send your verification link and updates for this application.

Used only if we need to clarify availability or interview scheduling.

Helps us understand work authorization constraints for client environments.

Add a second country of citizenship if you hold dual or multiple citizenship. Leave this blank if it does not apply.

Helps align timezone, tax/vendor setup, and client access requirements.

Please enter your rate in your local currency, based on your country of residence.

Consider Europe broadly here (for example the EU, the UK, or Switzerland). Work authorization is granted by individual countries, not the EU as a whole, so we'll ask which country if that matters for your answer.

An employer-specific (closed) work permit only authorizes you to work for the employer named on it.

Most US work visas are tied to a specific sponsoring employer - let us know which one applies.

Used for fast background context (roles, dates, industries). No automated posting.

Used to review work samples where relevant (code, dashboards, writeups).

This is required so we can score applications consistently. Please do not include sensitive identifiers (passport/SIN, full home address).

Optional supporting link. If provided, it must be accessible without logging in (e.g., “anyone with the link can view”).