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- Tasks: Design and optimise data models for a modern Azure data warehouse.
- Company: Join a fast-growing team focused on cloud-first data solutions.
- Benefits: Enjoy fully remote work with competitive pay and flexible hours.
- Why this job: Make a real impact in a data-driven organisation while thriving in a dynamic environment.
- Qualifications: 5+ years in data engineering with strong Azure and SQL skills required.
- Other info: Open to candidates in GMT +1 to +6 time zones.
Location: Fully remote (working UAE hours)
Salary: 5k GBP per month
Are you a data expert with a passion for building scalable, cloud-first data pipelines? We’re hiring an experienced Azure Data Engineer to join a fast-growing team focused on developing a centralised, enterprise-grade data warehouse in the Azure cloud. This is a full-time remote role open to candidates located within GMT +1 to +6 time zones. If you thrive in fast-paced environments, take extreme ownership of your work, and want to make a real impact in a data-driven organization - this could be the perfect opportunity for you.
What You’ll Be Doing:- Designing, building, and optimizing data models for a modern data warehouse on Azure
- Creating and maintaining secure, scalable data pipelines and ingestion workflows
- Leveraging Azure Synapse Analytics and ADF to deliver robust ELT solutions
- Ensuring pipeline execution, availability, and reliability across platforms
- Owning physical data models and collaborating with BI teams on reporting layers
- Supporting data discovery, KPI definition, and data quality initiatives
- Documenting architecture, metadata, and data lineage for project transparency
- Driving performance optimization and issue resolution across the data stack
- 5+ years of experience in data engineering, integration, and ETL/ELT projects
- 3+ years hands-on with Azure tools
- Strong command of SQL, stored procedures, and data modeling (Kimball or 3NF)
- Solid understanding of data warehouse architecture and best practices
- Familiarity with Salesforce (SFDC Sales Cloud), Google Analytics, or Airtable
- Experience with finance-related data marts (e.g. forecasting, P&L)
- Exposure to predictive analytics and building machine learning-ready datasets
Ready to take the next step in your data engineering career? Apply now and be part of a forward-thinking team pushing the boundaries of Azure-based data solutions.
Remote Azure Data Engineer (Contract) employer: Discovered MENA
Contact Detail:
Discovered MENA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Azure Data Engineer (Contract)
✨Tip Number 1
Familiarise yourself with Azure tools and services, especially Azure Synapse Analytics and Azure Data Factory. Being able to discuss your hands-on experience with these tools during an interview will demonstrate your readiness for the role.
✨Tip Number 2
Showcase your understanding of data warehouse architecture and best practices. Prepare examples from your past work where you successfully designed or optimised data models, as this will highlight your expertise in the field.
✨Tip Number 3
Network with professionals in the data engineering community, particularly those who work with Azure. Engaging in discussions on platforms like LinkedIn can help you gain insights and potentially get referrals for the position.
✨Tip Number 4
Prepare to discuss your approach to performance optimisation and issue resolution in data pipelines. Having concrete examples ready will show that you can take ownership of your work and contribute effectively to our team.
We think you need these skills to ace Remote Azure Data Engineer (Contract)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure tools and data engineering projects. Use specific examples that demonstrate your skills in building data pipelines and optimising data models.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data engineering and how your background aligns with the role. Mention your experience with SQL and any relevant projects that showcase your ability to work in fast-paced environments.
Highlight Relevant Experience: When detailing your work history, focus on your 5+ years of experience in data engineering and any hands-on work with Azure tools. Be sure to include any familiarity with Salesforce or predictive analytics if applicable.
Showcase Problem-Solving Skills: Provide examples of how you've driven performance optimisation and resolved issues in previous roles. This will demonstrate your ability to take ownership and make a real impact in a data-driven organisation.
How to prepare for a job interview at Discovered MENA
✨Showcase Your Azure Expertise
Make sure to highlight your hands-on experience with Azure tools during the interview. Be prepared to discuss specific projects where you've designed and optimised data models or built data pipelines using Azure Synapse Analytics and ADF.
✨Demonstrate Problem-Solving Skills
Since the role involves driving performance optimisation and issue resolution, be ready to share examples of challenges you've faced in previous roles and how you overcame them. This will show your ability to take ownership and thrive in fast-paced environments.
✨Understand Data Warehouse Best Practices
Familiarise yourself with data warehouse architecture and best practices, especially related to Kimball or 3NF data modelling. Be prepared to discuss how you've applied these principles in your past work to ensure robust data solutions.
✨Prepare for Technical Questions
Expect technical questions related to SQL, stored procedures, and data ingestion workflows. Brush up on your knowledge and be ready to demonstrate your skills through practical examples or even coding challenges during the interview.
