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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 a fully remote role with a competitive salary of 5k GBP per month.
- 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
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 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 show that you're not just familiar with the technology but can also leverage it effectively.
✨Tip Number 2
Network with current or former Azure Data Engineers through platforms like LinkedIn. Engaging in conversations about their experiences can provide you with valuable insights into the role and help you understand what specific skills or projects to highlight when you apply.
✨Tip Number 3
Prepare to discuss real-world examples of how you've optimised data pipelines or improved data quality in previous roles. Concrete examples will demonstrate your problem-solving abilities and your impact on past projects, making you a more attractive candidate.
✨Tip Number 4
Stay updated on the latest trends in data engineering and Azure technologies. Being knowledgeable about recent developments can give you an edge in interviews, as it shows your commitment to continuous learning and your passion for the field.
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 scalable 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 Azure Synapse Analytics and ADF, and how you can contribute to the team’s goals.
Showcase Relevant Projects: If you have worked on relevant projects, include them in your application. Describe your role, the technologies used, and the impact of your work on the overall project success.
Highlight Soft Skills: Since the role requires ownership and collaboration, emphasise your soft skills such as communication, teamwork, and problem-solving abilities. Provide examples of how you've successfully worked in fast-paced environments.
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 related to SQL queries, stored procedures, and data modelling. You might even be asked to solve a problem on the spot, so brush up on your SQL skills beforehand.
✨Understand Data Warehouse Architecture
Familiarise yourself with data warehouse architecture and best practices, especially in relation to Azure. Be prepared to discuss how you would approach designing a modern data warehouse and the considerations that come into play.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving abilities and how you handle real-world data engineering challenges. Think about past experiences where you had to optimise performance or resolve issues, and be ready to share those stories.
