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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 a dynamic work culture.
- Why this job: Make a real impact in a data-driven organisation while advancing your career.
- Qualifications: 5+ years in data engineering with strong SQL skills required.
- Other info: Open to candidates in GMT +1 to +6 time zones.
The predicted salary is between 28800 - 48000 £ per year.
Location: Fully remote (working UAE hours)
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.
- Designing, building, and optimizing data models for a modern data warehouse on Azure
- Creating and maintaining secure, scalable data pipelines and ingestion workflows
- 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
Requirements:
- 5+ years of experience in data engineering, integration, and ETL/ELT projects
- 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.
Data Engineer - Azure / SQL - Remote employer: Discovered MENA
Contact Detail:
Discovered MENA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Azure / SQL - Remote
✨Tip Number 1
Familiarise yourself with Azure's data services and tools. Understanding the specific technologies we use, such as Azure Data Factory and Azure SQL Database, will give you a significant edge during discussions and interviews.
✨Tip Number 2
Showcase your experience with data modelling techniques like Kimball or 3NF. Be prepared to discuss how you've applied these methodologies in past projects, as this will demonstrate your practical knowledge and problem-solving skills.
✨Tip Number 3
Highlight any experience you have with BI tools and reporting layers. Collaborating with BI teams is crucial for this role, so being able to discuss your contributions to data discovery and KPI definition will set you apart.
✨Tip Number 4
Prepare to discuss performance optimisation strategies you've implemented in previous roles. We value candidates who can drive efficiency and resolve issues across the data stack, so having concrete examples ready will be beneficial.
We think you need these skills to ace Data Engineer - Azure / SQL - Remote
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering, particularly with Azure and SQL. Include specific projects where you've built data pipelines or worked on data warehouse architecture to demonstrate your expertise.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data engineering and how your skills align with the job requirements. Mention any relevant experience with ETL/ELT projects and your familiarity with tools like Salesforce or Google Analytics.
Showcase Your Technical Skills: Be explicit about your technical skills in SQL, data modelling, and cloud technologies. If you have experience with predictive analytics or finance-related data marts, make sure to include that as well.
Highlight Problem-Solving Abilities: Provide examples of how you've driven performance optimisation and resolved issues in previous roles. This will show your potential employer that you can take ownership and thrive in fast-paced environments.
How to prepare for a job interview at Discovered MENA
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL, data modelling, and ETL/ELT projects. Highlight specific examples of how you've designed and optimised data pipelines in Azure, as this will demonstrate your technical expertise.
✨Understand the Company’s Data Needs
Research the company’s current data architecture and any recent projects they’ve undertaken. This will allow you to tailor your responses to their specific needs and show that you're genuinely interested in contributing to their goals.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about challenges you've faced in previous roles and how you overcame them, particularly in relation to data quality and performance optimisation.
✨Demonstrate Collaboration Skills
Since the role involves working with BI teams and other stakeholders, be ready to discuss how you've successfully collaborated in the past. Share examples of how you’ve communicated complex data concepts to non-technical team members.
