Senior Data Engineer

Roxburgh's Court
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer | Edinburgh | Competitive Pay & Great Benefits

Design the future of data with one of Scotland’s leading Microsoft Partners

Are you a Data Engineer who loves turning complex data into powerful, scalable platforms? Do you thrive working directly with clients, shaping solutions that genuinely make a difference?

Quorum — one of Scotland’s largest Microsoft Partners and a Microsoft Direct Cloud Solutions Provider (CSP) — is growing fast, and we’re looking for a Senior Data Engineer to join our well-established and expanding Data team.

This is a hands-on, client-facing role where you’ll lead solution design, work with cutting-edge Microsoft technologies (especially Microsoft Fabric), and help shape the data platforms powering organisations from ambitious SMEs to major enterprises.

Key Responsibilities of the Senior Data Engineer:

You’ll hit the ground running, working across a wide variety of exciting client projects and playing a key role in delivering high-quality, future-proof data solutions.

Your role will include:

Working closely with clients to scope, design and deliver data solutions that meet real analytical needs
Designing and building Data Warehouses, Data Lakes and Lakehouse architectures
Developing complex and reliable ETL pipelines
Designing secure, scalable and high-performance data infrastructure
Ensuring solutions are well documented from both a design and support perspective
Acting as a trusted technical voice within the data team and with clients
What we’re looking for:

We’re looking for a confident engineer who combines strong technical skills with excellent communication.

You’ll bring:

First-class verbal and written communication skills
Strong interpersonal skills and the ability to work directly with clients
Solid experience with Microsoft technologies — especially Microsoft Fabric, Power BI and SQL Server
The ability to run client workshops, gather requirements, and translate them into robust designs
Strong problem-solving skills and a structured approach to delivery
Coding experience in M, Python or R
A good understanding of SQL and data modelling concepts
Nice to have (but not essential):

Reporting experience with Power BI, Tableau or Qlik
Statistical or analytical modelling experience
Why Quorum?

Quorum is an Employee-Owned Scottish technology company delivering custom solutions, infrastructure consultancy and managed services to a diverse client base — from financial institutions to fast-growing businesses.

We genuinely invest in our people. When you join Quorum, you’ll get:

Highly competitive salary
Contributory pension and private health care
The option to buy and sell holidays
Paid home broadband
An annual personal technical budget
Ongoing training and development, including support from an in-house Microsoft Certified Trainer
Annual bonuses for Microsoft Accreditations
A collaborative, knowledge-sharing culture with low staff turnover
Award-winning Family Friendly Working
Flexibility that respects life outside of work
And yes — we’re also a genuinely nice bunch of people to work with.
Ready to make an impact?

If you eat, sleep and breathe technology and want to work somewhere your expertise is valued, supported, and rewarded — we’d love to hear from you.

Apply today and help shape the next generation of data solutions at Quorum

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.

Careers

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.

Jobs

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.

Education

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.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.