National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Engineer (MS/Azure) - Near Edinburgh (Hybrid)

Lorien
Livingston
1 day ago
Create job alert

Data Engineer (MS/Azure) - Near Edinburgh (Hybrid)


*** Near Edinburgh - 3 days per week in office, 2 days WFH


Lorien’s long-standing, successful (and growing) client, with offices very commutable from Central Edinburgh and the surrounding, is looking to recruit a Data Engineer to join their technical function in a brand-new role for the firm as it expands its Data team.


In return, you’ll join a supportive organisation well versed in keeping their staff happy plus a generous bonus scheme, flexible and hybrid working models, annual salary reviews, plenty of opportunities to upskill and progress professionally, and a range of other benefits designed with employee happiness in mind.


We’d also be happy to share the great feedback from all of the people we have placed into this function already from Software and Hardware Engineers to PMs, Support, Operations staff, Managers and more.


What You’ll Be Doing:


  • Design and develop Data Solutions, Pipelines and ETL Processes using tools such as Azure Data Factory / Azure Data Lake / Azure SQL / SSIS and other relevant offerings
  • Build and tailor Data Models and Data Warehouses
  • Work with other Data personnel such as Analysts/Scientists as well as stakeholders to gather and understand requirements, draft possible solutions, deliver on them, monitor their performance, and continuously improve as you work and adapt to changes
  • Keep up with relevant trends and implement new ideas/tech/improvements into the Data team


What You’ll Bring:


  • A background as a Data Engineer with skills across as many of the following Microsoft tooling as possible including Azure Data Factory, Azure Data Lake, Azure SQL, Azure Synapse Analytics, SQL Server / SSIS / T-SQL
  • Strong skills across Data Modelling, Warehousing and ETL processes
  • Skills in Business Intelligence tooling such as Power BI / similar
  • Scripting with Python / PowerShell / similar


Why This Role?


This business is known for evolving with the times - investing in both people and product innovation. As part of a growing team and with key new projects ahead, this is your chance to take ownership and help shape the way Data supports a world-class, global-reaching product line, while enjoying competitive remuneration, great benefits, exciting workloads and projects to tackle, and a supportive environment with technical and professional growth opportunities.

Ready for your next step? Apply now with your latest CV and reach out for a chat at a time that works for you.

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

National AI Awards 2025

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 Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.