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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 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 working 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 demonstrate your readiness for the role.
✨Tip Number 2
Showcase your problem-solving skills by preparing examples of how you've optimised data pipelines or resolved issues in previous projects. This will highlight your ability to drive performance optimisation, which is crucial for this position.
✨Tip Number 3
Network with professionals in the data engineering field, particularly those who work with Azure. Engaging in relevant online communities or forums can provide insights and potentially lead to referrals within our company.
✨Tip Number 4
Prepare to discuss your understanding of data warehouse architecture and best practices. Being able to articulate your knowledge in this area will set you apart as a candidate who truly understands the requirements of the role.
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. Emphasise your skills in SQL, data modelling, and any relevant projects that showcase your ability to build scalable data pipelines.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data engineering and how your background aligns with the job requirements. Mention specific experiences that demonstrate your ownership of projects and your ability to thrive in fast-paced environments.
Showcase Relevant Projects: If you have worked on projects involving Azure Synapse Analytics or ADF, be sure to include these in your application. Describe your role, the challenges faced, and the outcomes achieved to illustrate your expertise.
Highlight Soft Skills: In addition to technical skills, mention soft skills that are important for this role, such as collaboration with BI teams, problem-solving abilities, and your approach to documentation and transparency in projects.
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, come prepared with examples of challenges you've faced in previous roles. Discuss how you approached these problems and the solutions you implemented.
✨Understand Data Warehouse Architecture
Brush up on your knowledge of data warehouse architecture and best practices. Be ready to explain concepts like Kimball or 3NF data modelling, as well as how they apply to building scalable data solutions.
✨Prepare for Technical Questions
Expect technical questions related to SQL, stored procedures, and data ingestion workflows. Practise coding challenges or scenarios that may come up, so you can demonstrate your technical prowess confidently.
