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- Tasks: Design and optimise data models for a cutting-edge Azure data warehouse.
- Company: Join a fast-growing tech team with a focus on innovation.
- Benefits: Earn £5k per month, enjoy remote work, and develop your skills.
- Why this job: Make a real impact in a data-driven organisation while working remotely.
- Qualifications: 5+ years in data engineering and strong Azure tool experience required.
- Other info: Dynamic environment with opportunities for career advancement.
The predicted salary is between 4000 - 6000 £ per month.
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 are 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
- 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) in London 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) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Azure. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects, especially those involving Azure tools. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and Azure-specific scenarios. Practising your responses will help you feel more confident and ready to impress during the interview.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Remote Azure Data Engineer (Contract) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Azure Data Engineer role. Highlight your experience with Azure tools, SQL, and data modelling. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data engineering and how you can contribute to our team. Let us know why you're excited about this opportunity at StudySmarter.
Showcase Relevant Projects: Include specific projects that demonstrate your expertise in building data pipelines and working with Azure. We love seeing real examples of your work and how you've tackled challenges in the past.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can't wait to see what you bring to the table!
How to prepare for a job interview at Discovered MENA
✨Know Your Azure Tools Inside Out
Make sure you’re well-versed in Azure Synapse Analytics and Azure Data Factory. Brush up on your experience with these tools, as they’ll likely come up during the interview. Be ready to discuss specific projects where you’ve used them to create robust ELT solutions.
✨Showcase Your Data Modelling Skills
Prepare to talk about your experience with data modelling techniques like Kimball or 3NF. Have examples ready that demonstrate how you’ve designed and optimised data models for a data warehouse. This will show your understanding of best practices in data architecture.
✨Demonstrate Problem-Solving Abilities
Be prepared to discuss how you’ve tackled performance optimisation and issue resolution in past projects. Think of specific challenges you faced and how you overcame them, especially in relation to pipeline execution and reliability.
✨Understand the Business Context
Familiarise yourself with finance-related data marts and predictive analytics. Being able to connect your technical skills to business outcomes will impress interviewers. Show that you understand how your work impacts the organisation’s goals.
