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

Apply Now

Data Warehouse Solution Engineer

Interpath Ltd
Birmingham
1 day ago
Create job alert

Interpath is an international and fast-growing advisory business with deep expertise in a broad range of specialisms spanning Deals, Advisory and Restructuring capabilities.

We deliver tangible results for global businesses, their investors, and stakeholders when complex problems arise, and critical decisions need to be made. Interpath is agile, independent, and conflict-free, and our passion for doing what’s right, every time, sets us apart.

Our diverse teams provide specialist technical knowledge combined with deep sector experience across our service line specialisms. Since our foundation in 2021, Interpath has grown rapidly, and we now have a presence across the UK, Ireland, France, Germany, Austria, Spain, BVI, Cayman Islands, Bermuda, Barbados, and Hong Kong. By 2030 we aim to be one of the world’s leading advisory firms with a truly global footprint.

We’re looking for a Data Warehouse Solution Engineer to take ownership of evolving, maintaining, and supporting our newly established Azure data warehouse. In this hands-on role, you’ll collaborate with the Applications Team, Finance, the Data Governance & Quality Manager, and the wider IT function to ensure our data remains accurate, timely, and trusted.

This is a fantastic opportunity to help shape how data is used across the business. You’ll play a central role in extending our Azure data warehouse through new system integrations, enabling deeper insights that support smarter, faster decision-making at every level of the firm.

With a small but growing team, we’re looking for someone ready to wear multiple hats—from business/data analysis to solution design, implementation, and testing. The core foundation is in place—now we need someone to help operationalise and scale it, turning potential into business value.

Key Accountabilities:

  • Working closely with colleagues in IT and other internal teams, notably Finance, build a roadmap of business use cases to ingest into the data warehouse to fuel reporting & dashboards.
  • Own, monitor, and evolve the current Azure Data warehouse, developing and implementing data engineering best-practice (e.g., source-to-target mappings, coding standards, data quality, etc.), working closely with the external party who setup the environment .
  • Create and maintain ETL processes, data mappings & transformations to orchestrate data integrations.
  • Ensure data integrity, quality, privacy, and security across systems, in line with client and regulatory requirements.
  • Optimize data solutions for performance and scalability. Explore new data management and processing techniques, making recommendations where appropriate.
  • Adhere to Interpath’s software engineering best practices (eg, technical design, review, unit testing, monitoring & alerting, source code management and review, and documentation).
  • Become a subject matter expert and point of contact on available data within the business. Collaborate with stakeholders to understand their data needs and create data models accordingly.
  • At least five years of experience in all aspects of the data engineering role, ideally as a senior or lead engineer.
  • Hands on experience of building and maintaining Python based Azure data bricks notebooks in Azure synapse analytics.
  • Strong SQL experience, including programming ie, SQL queries and stored procedures, and formal database design methodologies.
  • Experience in setting up monitoring and data quality exception handling.
  • Strong data modelling experience.
  • Experience managing and developing CI/CD pipelines.
  • Experience with Microsoft Azure products and services, and proficiency in ETL processes.
  • Experience of working with APIs to integrate data flows between disparate cloud systems.
  • Strong analytical and problem-solving skills, with the ability to work independently and collaboratively.
  • The aptitude to quickly understand information, business models and business requirements.
  • Strong written and verbal communication skills, with the ability to establish credibility and develop effective business relationships with colleagues.

Desirable Criteria:

  • C# coding knowledge.
  • Logic Apps and Azure Integration Services.
  • Experience in semi / fully unstructured datasets and NoSQL environments
  • Awareness of working in a regulated environment, with experience of data legislation and cyber security accreditations e.g., GDPR, ISO27001, Cyber Essentials.
  • Expertise in Business Intelligence, ideally via Power BI for data visualization and reporting
  • Use of DevOps (CI/CD) concepts to test, schedule, and deploy to a production environment.
  • Experience of working in a financial services firm.

Benefits

At Interpath, our people lie at the heart of our business. That's why we provide employees with a competitive and comprehensive reward package including compelling salaries and a range of core and optional benefits. Read more about our benefits; Company Benefits - Interpath

Unsolicited Resumes from Third-Party Recruiters

Please note that Interpath do not accept unsolicited resumes from third-party recruiters. Any employment agency, person or entity that submits an unsolicited resume does so with the understanding that Interpath will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity.


#J-18808-Ljbffr

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.

The Best Free Tools & Platforms to Practise Data Science Skills in 2025/26

Data science continues to be one of the most exciting, high-growth career paths in the UK and worldwide. From predicting customer behaviour to detecting fraud and driving healthcare innovations, data scientists are at the forefront of digital transformation. But breaking into the field isn’t just about having a degree. Employers are looking for candidates who can demonstrate practical data science skills — analysing datasets, building machine learning models, and presenting insights that solve real business problems. The best part? You don’t need to spend thousands on premium courses or expensive software. There are dozens of high-quality, free tools and platforms that allow you to practise data science in 2025. This guide explores the best ones to help you learn, experiment, and build portfolio-ready projects.

Top 10 Skills in Data Science According to LinkedIn & Indeed Job Postings

Data science isn’t just a buzzword — it’s the engine powering innovation in sectors across the UK, from finance and healthcare to retail and public policy. As organisations strive to turn data into insight and action, the need for well-rounded data scientists is surging. But what precise skills are employers demanding right now? Drawing on trends seen in LinkedIn and Indeed job ads, this article reveals the Top 10 data science skills sought by UK employers in 2025. You’ll get guidance on showcasing these in your CV, acing interviews, and building proof of your capabilities.

The Future of Data Science Jobs: Careers That Don’t Exist Yet

Data science has rapidly evolved into one of the most important disciplines of the 21st century. Once a niche field combining elements of statistics and computer science, it is now at the heart of decision-making across industries. Businesses, governments, and charities rely on data scientists to uncover insights, forecast trends, and build predictive models that shape strategy. In the UK, data science has become central to economic growth. From the NHS using data to improve patient outcomes to financial institutions modelling risk, the applications are endless. The UK’s thriving tech hubs in London, Cambridge, and Manchester are creating high demand for data talent, with salaries often outpacing other technology roles. Yet despite its current importance, data science is still in its infancy. Advances in artificial intelligence, quantum computing, automation, and ethics will transform what data scientists do. Many of the most vital data science jobs of the next two decades don’t exist yet. This article explores why new careers are emerging, the roles likely to appear, how current jobs will evolve, why the UK is well positioned, and how professionals can prepare now.