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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 remote work flexibility 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
- 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 platforms during an interview will demonstrate your readiness for the role.
✨Tip Number 2
Prepare to showcase your understanding of data warehouse architecture and best practices. You might be asked to explain how you would design a data model or optimise a pipeline, so having specific examples ready can set you apart.
✨Tip Number 3
Highlight any experience you have with finance-related data marts or predictive analytics. If you have worked on similar projects, be ready to discuss the challenges you faced and how you overcame them.
✨Tip Number 4
Since this role is remote and requires collaboration across time zones, emphasise your ability to work independently and manage your time effectively. Share examples of how you've successfully collaborated with teams in different locations.
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 ETL/ELT projects. If you have bonus skills like familiarity with Salesforce or predictive analytics, make sure to include those as well.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a data engineering role.
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. You might even be asked to solve a problem on the spot!
✨Discuss Data Warehouse Best Practices
Familiarise yourself with data warehouse architecture and best practices. Be prepared to discuss how you've implemented these in past projects, focusing on performance optimisation and ensuring data quality.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills and ability to handle real-world challenges in data engineering. Think about past experiences where you drove performance optimisation or resolved issues across the data stack.
