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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 a fully remote role with competitive pay and flexible hours.
- Why this job: Make a real impact in a data-driven organisation while working with cutting-edge technology.
- 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) (Central London / West End) 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) (Central London / West End)
✨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 professionals in the data engineering community, particularly those who have experience with Azure. Engaging in discussions or attending webinars can provide insights and connections that may help you stand out during the application process.
✨Tip Number 4
Prepare to discuss your approach to performance optimisation and issue resolution in data pipelines. Having specific examples ready will show that you not only understand the theory but also have practical experience in overcoming challenges.
We think you need these skills to ace Remote Azure Data Engineer (Contract) (Central London / West End)
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: In your cover letter, express your passion for data engineering and how your background makes you a perfect fit for the role. Mention specific projects where you've designed or optimised data pipelines, showcasing your hands-on experience.
Showcase Relevant Experience: When detailing your work history, focus on your achievements in data engineering, particularly those involving Azure. Use metrics to demonstrate the impact of your work, such as improvements in pipeline efficiency or data quality.
Highlight Bonus Skills: If you have experience with Salesforce, Google Analytics, or finance-related data marts, make sure to include this in your application. These bonus skills can set you apart from other candidates and show your versatility.
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 equipped 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 ETL/ELT processes. Practise coding challenges or scenarios that may come up, as demonstrating your technical prowess will be crucial in this interview.
