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

Apply Now

Senior Microsoft SQL Developer - Fintech SaaS. Full Remote

Birmingham
6 months ago
Applications closed

Related Jobs

View all jobs

Azure Data Architect

Senior Data Engineer

Senior Data Engineer

Business Intelligence Developer

Business Intelligence Director

Senior Data Engineer

This is a fantastic opportunity to join a ground-breaking Fintech SaaS company re-defining the way that financial advisers, platforms and private wealth managers report, communicate, and exchange data with their clients.
Ready to advance your career and join an industry leader with a constant mission to innovate?
Role Info:
Senior Microsoft SQL Developer
100% UK Remote
Up to £70,000
Plus Incredible Benefits Package including Life Assurance, Private Health Cover, Pension Scheme, and More…
Values: Innovative, Flexible, Responsive, Professional, Integrity
Product / Service: Fintech SaaS – Leading supplier of investment workflow and data distribution services to the UK financial advisory market. Our software integrates with most of the leading investment platforms and back-office systems in the UK.
Your Skills / Background: Design and Build of High Volume Database Architectures, TSQL, SQL, Performance Tuning.
Who we are:
We’re Sprint Enterprise Technology – a small, high-impact fintech company, doing big things in the UK wealth management industry, and we have the awards to prove it! Our mission is to bring about a more open and integrated wealth management industry by enabling the flow of rich and accurate data between systems.
We operate in a fast-paced, customer-first environment that embraces innovation. Our technology stack is Microsoft-based, running on a VMware virtualized private cloud, carefully managed by our own Infrastructure Engineers and our hosting partners. We run a network of SQL Servers, ensuring high availability and performance for our data-driven solutions.
Our product FINIO is the award winning data hub that connects investment platforms, discretionary fund managers with software providers and advisory firms for the flow of investment data. It helps the wealth management sector become more efficient, integrated and enables the flow of complex investment data that is increasingly required to power today’s software systems.
The Senior Microsoft SQL Developer role:
We are seeking an experienced Senior Microsoft SQL Developer to work closely alongside our Chief Data Architect (ex Microsoft) and Head of Development to maintain and develop our current and future data centric financial technology solutions.
This is a fully remote opportunity within the fintech sector.
About you:
• An expert in the design and build of high performance / high volume database architectures
• Highly proficient in TSQL including Stored Procedures, Views, Triggers, and UDF's
• Have in-depth knowledge of SQL Internal Architecture (Metadata, Indexes, Statistics etc.)
• Skilful in performance tuning (using all available tools / techniques), refactoring existing SQL, monitoring high availability clusters and patching live systems
• Experienced in SQL CLRs, SSRS, and Power BI
• As a key member of the team in a growing business, you must be a natural communicator
Additional useful skills and experience:
• SQL CLR's
• SSRS
• Power BI/SQL Reporting
• Power BI / on premise SSAS integration
• Experience of hybrid / full migration from on premise SQL to Azure
Why you’ll love this role:
• Work in a fully remote, highly collaborative environment in the fintech space
• Be part of a fast-moving, startup-style culture that values creativity and impact
• Engage directly with customers, making a real impact on their experience and satisfaction
• Enjoy a diverse, dynamic, and supportive work culture where your contributions make a real difference
What’s on Offer:
• Work from home (with funded meet ups from time to time)
• Flexible working (where practical)
• 25 days holiday (plus bank holidays) plus ½ day for each year's service (to max 30 days)
• 2 days corporate social responsibility leave
• Holiday purchase scheme (buy/sell up to 5 days)
• Life Assurance (4 x salary)
• Contribution to Private Health Cover
• Subscription to a Wellbeing service and Employee Assistance Programme
• Contributory Pension Scheme via Salary Sacrifice
• Salary Sacrifice for additional qualifying benefits (e.g. extra pension contributions, EV purchase)
Interested? Apply here for a fast-track path to our Leadership Team.
Application notice... We take your privacy seriously. As you might expect you may be contacted by email, text or telephone. Your data is processed by our talent partner RR (Recruitment Revolution) on the basis of their legitimate interests in fulfilling the recruitment process. Please refer to their Data Privacy Policy & Notice on their website for further details

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.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

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.