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- Tasks: Design and optimise data models for a modern Azure data warehouse.
- Company: Join a fast-growing team focused on innovative cloud data solutions.
- Benefits: Enjoy fully remote work with flexible hours and competitive salary.
- Why this job: Make a real impact in a data-driven organisation while working with cutting-edge technology.
- 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.
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
What We’re Looking For:
- 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
Bonus Skills:
- 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 working/work at home options are available for this role.
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 platforms 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 have experience with Azure. Engaging in discussions or attending webinars can provide insights and connections that may help you stand out during the hiring process.
✨Tip Number 4
Prepare to discuss your approach to performance optimisation and issue resolution in data pipelines. Having specific scenarios ready to share will illustrate your problem-solving skills and your ability to take ownership of your work.
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 in data engineering, particularly with Azure tools. Emphasise your skills in SQL, data modelling, and any relevant projects you've worked on that align with the job description.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your ability to thrive in fast-paced environments. Mention specific examples of how you've designed and optimised data pipelines or worked with Azure Synapse Analytics.
Highlight Relevant Experience: In your application, focus on your 5 years of experience in data engineering and any hands-on work with Azure tools. If you have bonus skills like familiarity with Salesforce or predictive analytics, make sure to include those as well.
Showcase Problem-Solving Skills: Demonstrate your ability to drive performance optimisation and issue resolution in your application. Provide examples of challenges you've faced in previous roles and how you successfully addressed them.
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 built data pipelines, as well as any challenges you faced and how you overcame them.
✨Demonstrate Your SQL Skills
Since a strong command of SQL is crucial for this role, be ready to answer technical questions or even solve problems on the spot. Brush up on your knowledge of stored procedures and data modelling techniques like Kimball or 3NF.
✨Understand Data Warehouse Architecture
Familiarise yourself with data warehouse best practices and architecture. Be prepared to discuss how you've applied these principles in your previous roles, especially in relation to performance optimisation and data quality initiatives.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills and ability to work under pressure. Think of examples from your past experiences where you took ownership of a project and made a significant impact on the data solutions provided.
