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- 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, flexible options, and great corporate perks.
- 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 80000 - 90000 £ per year.
💼 Data Warehouse Solution Engineer📍 London, Manchester, Bristol, Leeds, Birmingham Locations. Flexible working Available. 💰 £80,000 – £90,000 (flexible for exceptional experience) + benefitsWe’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 extractmaximum business value.Key ResponsibilitiesDevelop 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 & Experience5+ 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 stakeholdersDesirable SkillsKnowledge 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: LinkedIn
Contact Detail:
LinkedIn 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 networking events or interviews can set you apart from other candidates.
✨Tip Number 2
Join relevant online communities or forums focused on data engineering and Azure technologies. Engaging in discussions and sharing your insights can help you build connections that may lead to job opportunities at StudySmarter or elsewhere.
✨Tip Number 3
Consider working on personal projects that showcase your skills in ETL workflows, data modelling, and SQL. Having tangible examples of your work can be a great conversation starter and demonstrate your capabilities to potential employers.
✨Tip Number 4
Prepare to discuss how you've ensured data quality and compliance in previous roles. Being able to articulate your experience with regulations like GDPR will show that you understand the importance of data governance in a fast-growing organisation.
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 your relevant experience in data engineering, particularly with Azure technologies, Python, and SQL. Use specific examples to demonstrate your skills and achievements that align with the job description.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of the role. Mention how your experience aligns with the responsibilities listed, such as developing ETL workflows and ensuring data quality.
Showcase Problem-Solving Skills: In your application, provide examples of complex problems you've solved in previous roles. Highlight your analytical mindset and how you've used data to drive informed decisions, which is crucial for this position.
Highlight Collaboration Experience: Since the role involves working with various teams, emphasise your experience collaborating with both technical and non-technical stakeholders. Mention any successful projects where teamwork was key to achieving results.
How to prepare for a job interview at LinkedIn
✨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
Articulate how your work in data engineering can drive business value. Be ready to explain how you've used data to inform decisions in previous roles, and how you plan to do the same in this position.
✨Prepare for Problem-Solving Questions
Expect to face scenario-based questions that assess your analytical mindset and problem-solving abilities. Practice articulating your thought process clearly, as this will show your capability to tackle complex challenges.
✨Communicate Effectively with Stakeholders
Since the role involves collaboration with both technical and non-technical teams, practice explaining technical concepts in simple terms. This will highlight your strong communication skills and ability to bridge gaps between different stakeholders.