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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 thriving in a fast-paced 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 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 current or former employees of StudySmarter on platforms like LinkedIn. Engaging with them can provide insights into the company culture and expectations, which can be invaluable during your interview.
✨Tip Number 4
Prepare to discuss your experience with SQL and data modelling techniques such as Kimball or 3NF. Being able to articulate your approach to data engineering challenges will set you apart from other candidates.
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 ETL/ELT work to align with the job requirements.
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 projects where you've designed or optimised data pipelines, and how you can contribute to the company's goals.
Highlight Relevant Experience: In your application, focus on your 5+ years of experience in data engineering and any hands-on work with Azure tools. Include examples of how you've collaborated with BI teams and supported data quality initiatives.
Showcase Bonus Skills: If you have experience with Salesforce, Google Analytics, or finance-related data marts, make sure to mention these in your application. Highlighting these bonus skills can set you apart from other candidates.
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 designed and optimised data models or built data pipelines using Azure Synapse Analytics and ADF.
✨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 techniques like Kimball or 3NF. Consider preparing examples from your past work that showcase your proficiency.
✨Discuss Data Warehouse Best Practices
Familiarise yourself with data warehouse architecture and best practices. Be prepared to discuss how you've implemented these in previous roles, particularly in relation to performance optimisation and ensuring pipeline reliability.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills in real-world situations. Think about challenges you've faced in data engineering and how you resolved them, especially in fast-paced environments.
