Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Own and optimise an Azure-based data warehouse for a fast-growing organisation.
- Company: Join a collaborative team that values innovation and curiosity in London.
- Benefits: Enjoy a competitive salary of £80,000 - £90,000 plus flexible benefits.
- Why this job: Make a real impact on data strategy while working with cutting-edge technologies.
- Qualifications: 5+ years in data engineering with strong skills in Python, SQL, and Azure services.
- Other info: Ideal for those passionate about data and eager to tackle new challenges.
The predicted salary is between 64000 - 96000 £ per year.
Job Description
💼 Data Warehouse Solution Engineer
📍 London | 💰 £80,000 – £90,000 (flexible for exceptional experience) + benefits
We’re searching for a skilled data engineering professional who enjoys solving complex problems and turning data into actionable insights. This role sits at the heart of a collaborative, forward-thinking team that values innovation, curiosity, and a willingness to take on new challenges.
In this position, you’ll be the primary owner of a recently deployed Azure-based data warehouse, ensuring it continues to evolve to meet the needs of a fast-growing organisation. You’ll partner with colleagues across technology, finance, and data governance to guarantee that data is accurate, secure, and ready to drive informed decisions.
With the platform foundation already in place, your mission will be to scale, optimise, and operationalise it — from designing new integrations to building tools and processes that extract
maximum business value.
Key Responsibilities
- Develop and maintain a roadmap for expanding the Azure data warehouse to support advanced reporting and analytics.
- Enhance and maintain the existing environment, embedding data engineering best practices.
- Design and implement ETL workflows, transformations, and data mapping solutions.
- Monitor and uphold data quality, privacy, and compliance with all relevant regulations.
- Improve performance and scalability while researching emerging data technologies.
- Act as a go-to expert for available datasets and collaborate with teams to design suitable data models.
Essential Skills & Experience
- 5+ years in data engineering, ideally at senior or lead level.
- Strong hands-on experience with Python, Azure Databricks, and Azure Synapse Analytics.
- Advanced SQL skills, including stored procedures and formal database design.
- Proven data modelling capabilities.
- Proficiency with Microsoft Azure data services and CI/CD pipelines.
- Experience integrating data across systems using APIs.
- Analytical mindset and excellent problem-solving abilities.
- Strong communication skills, able to work with both technical and non-technical stakeholders
Desirable Skills
- Knowledge of C#, Logic Apps, or Azure Integration Services.
- Experience with NoSQL or unstructured datasets.
- Familiarity with Power BI for dashboarding and reporting.
- Previous exposure to regulated environments (e.g., GDPR, ISO27001).
If you’re passionate about using modern cloud data technologies to deliver business impact — and want a role where you can directly influence data strategy — we’d love to hear from you.
📩 Apply here: LinkedIn Job Link
#DataEngineering #Azure #DataWarehouse #SQL #Python #Hiring #LondonJobs #AzureDataEngineer
Data Warehouse Solution Engineer employer: MBN Solutions
Contact Detail:
MBN Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Warehouse Solution Engineer
✨Tip Number 1
Familiarise yourself with Azure data services and tools like Azure Databricks and Azure Synapse Analytics. Being able to discuss your hands-on experience with these technologies during the interview will demonstrate your capability and readiness for the role.
✨Tip Number 2
Brush up on your SQL skills, especially around stored procedures and database design. Prepare to showcase your ability to write complex queries and explain how you've used SQL in past projects to solve real-world problems.
✨Tip Number 3
Highlight any experience you have with data modelling and ETL workflows. Be ready to discuss specific examples of how you've designed data models or implemented ETL processes that improved data quality and accessibility.
✨Tip Number 4
Prepare to talk about your collaborative experiences with both technical and non-technical stakeholders. This role requires strong communication skills, so think of examples where you've successfully bridged the gap between different teams to achieve a common goal.
We think you need these skills to ace Data Warehouse Solution Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly with Azure technologies. Emphasise your hands-on experience with Python, SQL, and any previous roles that involved data modelling or ETL workflows.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data engineering and how your skills align with the responsibilities of the Data Warehouse Solution Engineer role. Mention specific projects where you've successfully implemented data solutions or improved data quality.
Showcase Problem-Solving Skills: Use examples from your past work to demonstrate your analytical mindset and problem-solving abilities. Highlight situations where you tackled complex data challenges and the impact of your solutions on the business.
Highlight Collaboration Experience: Since this role involves working with various teams, include examples of how you've effectively communicated and collaborated with both technical and non-technical stakeholders in previous positions.
How to prepare for a job interview at MBN Solutions
✨Showcase Your Technical Skills
Be prepared to discuss your hands-on experience with Python, Azure Databricks, and Azure Synapse Analytics. Bring examples of past projects where you designed ETL workflows or improved data quality, as this will demonstrate your technical expertise.
✨Understand the Business Impact
Make sure you can articulate how your work in data engineering has driven business value in previous roles. Companies want to see that you understand the importance of data in making informed decisions and how it can influence strategy.
✨Prepare for Problem-Solving Questions
Expect to face scenario-based questions that assess your analytical mindset and problem-solving abilities. Practice explaining your thought process clearly, as this will show your ability to tackle complex challenges effectively.
✨Communicate Effectively with Stakeholders
Since you'll be working with both technical and non-technical teams, practice explaining technical concepts in simple terms. Highlight your strong communication skills during the interview to demonstrate your ability to collaborate across departments.
