Azure Data Engineer

Edinburgh
2 months ago
Applications closed

Related Jobs

View all jobs

Azure Data Engineer

Azure Data Engineer

Contract Data Engineer (Azure) - Agile IT Team

Senior Data Engineer - Azure, BI & Data Strategy

Senior Azure Data Engineer - London

Urgent | Contract Senior Data Engineer - Azure + Databricks + Snowflake

Azure Data Engineer

Location: Scotland based, flexible working
Salary: Up to £80,000 + benefits

Euro Projects Recruitment is working with a leading Microsoft Partner in Scotland to recruit a permanent Azure Data Engineer.

This role sits within a growing Data practice delivering Azure-based data platforms for a wide range of clients. The Azure Data Engineer will focus on building modern, scalable data solutions using Microsoft Fabric and the wider Azure data stack, working closely with customers throughout the full delivery lifecycle.

This is a delivery-focused role with strong exposure to solution design, client engagement and hands-on engineering.

The Role – Azure Data Engineer

As an Azure Data Engineer, you will be responsible for designing and implementing data platforms that support analytics, reporting and business insight. You will work across multiple client projects, collaborating with stakeholders to translate requirements into secure, high-performing Azure data solutions.

Key responsibilities include:Azure & Data Engineering



Build and maintain Azure-based data platforms using Microsoft Fabric

*

Design and implement Data Warehouses, Data Lakes and Lakehouse architectures

*

Develop ETL and data transformation pipelines

*

Work extensively with SQL to model, optimise and query data

*

Ensure solutions meet security, performance and scalability requirements

Client & Delivery Focus

*

Engage directly with clients to understand data and reporting needs

*

Contribute to solution design and technical decision making

*

Support workshops and requirement-gathering sessions

*

Deliver clear technical documentation and handover materials

Analytics Enablement

*

Support downstream analytics and reporting, primarily using Power BI

*

Work closely with reporting teams to ensure data models are fit for purpose

What They Are Looking For

*

Commercial experience as an Azure Data Engineer or Data Engineer

*

Strong experience across Azure data technologies and SQL

*

Exposure to Microsoft Fabric, Power BI and modern data architectures

*

Experience building ETL processes and data pipelines

*

Coding or scripting experience using Python, M or R

*

Comfortable working in a customer-facing or consultancy-style environment

*

Strong communication skills and a problem-solving mindset

Desirable

*

Consultancy or Microsoft Partner background

*

Experience with Tableau or Qlik

*

Exposure to statistics or advanced analytics

What’s On Offer

*

Salary up to £80,000 depending on experience

*

Permanent Azure Data Engineer role with clear progression

*

Strong focus on training and career development

*

Bonus linked to Microsoft accreditations

*

Private healthcare and contributory pension

*

Flexible working arrangements

*

Collaborative, low-turnover working culture

Location

Scotland based with flexible working. The role offers a high level of flexibility around office attendance

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.

New Data Engineering Employers to Watch in 2026: UK and Global Companies Driving the Data Revolution

Data engineering is at the heart of the digital economy, transforming raw data into actionable insights, powering analytics, AI systems, and cloud infrastructure. As the UK and global markets continue to invest heavily in data platforms, pipelines, and real-time analytics, demand for skilled data engineers is growing rapidly. For professionals exploring opportunities on www.DataEngineeringJobs.co.uk , the critical question is: which companies are expanding, hiring, and shaping the future of data-driven business? This article highlights new data engineering employers to watch in 2026, including UK startups, scale-ups, and international firms expanding in the UK.

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.