Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Warehouse Solution Engineer

MBN Solutions
Newcastle upon Tyne
3 days ago
Create job alert

đź’Ľ Data Warehouse Solution Engineer

📍 London, Manchester, Bristol, Leeds, Birmingham Locations. Flexible working Available.

💰 £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.


đź“© Apply here: LinkedIn Job Link

#DataEngineering #Azure #DataWarehouse #SQL #Python #Hiring #LondonJobs #AzureDataEngineer

Related Jobs

View all jobs

Data Warehouse Solution Engineer

Data Warehouse Solution Engineer

Data Warehouse Solution Engineer

Data Warehouse Solution Engineer

Data Warehouse Solution Engineer

Data Warehouse Solution Engineer

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.

Why the UK Could Be the World’s Next Data Science Jobs Hub

Data science is arguably the most transformative technological field of the 21st century. From powering artificial intelligence algorithms to enabling complex business decisions, data science is essential across sectors. As organisations leverage data more rapidly—from retailers predicting customer behaviour to health providers diagnosing conditions—demand for proficiency in data science continues to surge. The United Kingdom is particularly well-positioned to become a global data science jobs hub. With world-class universities, a strong tech sector, growing AI infrastructure, and supportive policy environments, the UK is poised for growth. This article delves into why the UK could emerge as a leading destination for data science careers, explores the job market’s current state, outlines future opportunities, highlights challenges, and charts what must happen to realise this vision.