Senior Developer – Data Platforms

Glasgow
9 months ago
Applications closed

Related Jobs

View all jobs

SAS Data Engineer

Senior Data Engineer (AWS, Airflow, Python)

Senior Data Engineer (AWS, Airflow, Python)

Senior Java Kafka Developer

Java Developer with SQL & GIT

Java Developer with SQL & GIT

A leading Financial Services consultancy is seeking an experienced Senior Developer to join their data platforms team, who work across a wide range of critical business projects. You'll need to be someone that takes pride in writing highly maintainable code and delivering results to a highly successful business.  

Based in either Edinburgh or Glasgow (max requirement of 2 days a week in the office), this role offers you the chance to be at the forefront of designing and delivering innovative platforms and processes, which empower data-driven decision-making across an enterprise level consulting business! 

This organisation has one of the largest number of assets that I am aware of in the UK, so you'll get an incredible opportunity to design and write code, across many, many, mission critical applications. Our client is committed to using the latest technologies, including the most up-to-date Microsoft tools on Azure, to foster a collaborative and cutting-edge work environment. I know that sounds buzz wordy, but unlike many others that just say it, this business really delivers on it! 

What's in it for you?
You will play a pivotal role in modernizing many key business solutions, leading to the company's broader data strategy.

Modernize existing business solutions, through reverse engineering and rearchitecting for Azure.
Design and implement systems that effectively handle large data volumes and integrate seamlessly with existing infrastructure.
They also encourage continued learning and pays for relevant certifications
Key requirements as Senior Developer: 

Proven experience designing and developing data-driven C# .NET applications.
Familiarity with integrating various data sources such as SQL databases, MongoDB, and CosmosDB.
Comfortable working with time series and numeric data, while ensuring data integrity.
Strong collaborative skills and the ability to engage constructively in mixed-discipline teams.
Ideally, experience with BI visualization tools like Power BI or similar, and exposure to R or Python.
The ideal Senior Developer:

Passionate about leveraging technology, specifically within the Microsoft development stack and Azure Cloud.
Self-motivated and eager to learn, sharing knowledge with peers to foster a growth-oriented environment.
You'll be an excellent communicator, who builds lasting relationships across all levels of a business.
On top of a strong salary, this role also offers a great benefits package, including profit share bonus, 7.5% pension employer contribution, and many more perks designed to support your professional and personal well-being! 

Join a team that values innovation, collaboration, and continuous improvement, where your ideas and contributions will make a meaningful impact. If you are excited about the opportunity to thrive in a progressive environment and contribute to cutting-edge data solutions, this is the role for you! 

To apply for this role as Senior Developer, please click apply online and upload an updated copy of your CV. 

Note: The job title of ‘Senior’ relates simply to the level of experience and has no relevance to age. You are encouraged to apply for any opportunities that you feel to be suitable, irrespective of age or level of experience.

Candidate Source Ltd is an advertising agency.  Once you have submitted your application it will be passed to the third party Recruiter who is responsible for processing your application. This will include holding and sharing your personal data, our legal basis for this is legitimate interest subject to your declared interest in a job. Our privacy policy can be found on our website and we can be contacted to confirm who your application has been forwarded to

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.

How Many Data Engineering Tools Do You Need to Know to Get a Data Engineering Job?

If you’re aiming for a career in data engineering, it can feel like you’re staring at a never-ending list of tools and technologies — SQL, Python, Spark, Kafka, Airflow, dbt, Snowflake, Redshift, Terraform, Kubernetes, and the list goes on. Scroll job boards and LinkedIn, and it’s easy to conclude that unless you have experience with every modern tool in the data stack, you won’t even get a callback. Here’s the honest truth most data engineering hiring managers will quietly agree with: 👉 They don’t hire you because you know every tool — they hire you because you can solve real data problems with the tools you know. Tools matter. But only in service of outcomes. Jobs are won by candidates who know why a technology is used, when to use it, and how to explain their decisions. So how many data engineering tools do you actually need to know to get a job? For most job seekers, the answer is far fewer than you think — but you do need them in the right combination and order. This article breaks down what employers really expect, which tools are core, which are role-specific, and how to focus your learning so you look capable and employable rather than overwhelmed.

What Hiring Managers Look for First in Data Engineering Job Applications (UK Guide)

If you’re applying for data engineering jobs in the UK, the first thing to understand is this: Hiring managers don’t read every word of your CV. They scan it. They look for signals of relevance, credibility, delivery and collaboration — and if they don’t see the right signals quickly, your application may never get a second look. In data engineering, hiring managers are especially focused on whether you can build and operate reliable, scalable data systems, handle real-world data challenges and work effectively with analytics, BI, data science and engineering teams. This guide breaks down exactly what they look at first in your application — and how to shape your CV, portfolio and cover letter so you stand out.

The Skills Gap in Data Engineering Jobs: What Universities Aren’t Teaching

Data engineering has quietly become one of the most critical roles in the modern technology stack. While data science and AI often receive the spotlight, data engineers are the professionals who design, build and maintain the systems that make data usable at scale. Across the UK, demand for data engineers continues to rise. Organisations in finance, retail, healthcare, government, media and technology all report difficulty hiring candidates with the right skills. Salaries remain strong, and experienced professionals are in short supply. Yet despite this demand, many graduates with degrees in computer science, data science or related disciplines struggle to secure data engineering roles. The reason is not academic ability. It is a persistent skills gap between university education and real-world data engineering work. This article explores that gap in depth: what universities teach well, what they consistently miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data engineering.