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- Tasks: Build and optimise data models and pipelines in Azure for a centralised data warehouse.
- Company: Join a fast-growing team focused on innovative, cloud-first data solutions.
- Benefits: Enjoy fully remote work with flexible hours and the chance to make a real impact.
- Why this job: Perfect for those who thrive in fast-paced environments and want to drive data initiatives.
- Qualifications: 5+ years in data engineering with strong SQL skills and knowledge of data warehouse architecture.
- Other info: Open to candidates in GMT +1 to +6 time zones; bonus skills in Salesforce or predictive analytics are a plus.
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
Network with current or former employees in similar roles. Engaging with our team on platforms like LinkedIn can provide insights into our company culture and expectations, which can be invaluable during the interview process.
✨Tip Number 4
Prepare to discuss your approach to performance optimisation and issue resolution. We value candidates who can articulate their strategies for enhancing data pipeline efficiency and troubleshooting challenges they've faced in previous roles.
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 warehouses 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 processes and your understanding of data warehouse architecture.
Showcase Relevant Skills: Clearly list your technical skills related to the role, such as SQL proficiency, data modelling techniques, and familiarity with tools like Salesforce or Google Analytics. This will help you stand out as a strong candidate.
Highlight Problem-Solving Abilities: Provide examples in your application that showcase your ability to drive performance optimisation and resolve issues within data stacks. This demonstrates your proactive approach and ownership of your work.
How to prepare for a job interview at Discovered MENA
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Azure, SQL, and data modelling in detail. Highlight specific projects where you've designed and optimised data pipelines, as this will demonstrate your hands-on expertise.
✨Understand the Company’s Data Needs
Research the company’s current data architecture and any recent projects they’ve undertaken. This knowledge will allow you to tailor your responses and show how your skills can directly benefit their operations.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems related to data engineering. Practise articulating your thought process clearly, as this will showcase your analytical skills and ability to think on your feet.
✨Emphasise Collaboration and Communication
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.
