Data Manager (Azure & SQL)

Meraki Talent
Glasgow
2 weeks ago
Applications closed

Related Jobs

View all jobs

Master Data Manager

Lead Data Manager | Healthcare Sector | Cambridge

Senior Manager Marketing Data & Insights Strategy

Information Manager (18 Months Fixed Term)

Information and Data Governance Lead

Principal Product Analytics Developer /Team Lead, Newcastle

Data Manager (Azure & SQL)

Excellent Salary & Package

Edinburgh or Glasgow (Hybrid, 2/3 days per week in the office)

Permanent

Posted Mon 31 Mar 25

CVs ASAP

Start date Apr – Jul 25


Meraki Talent’s client is actively looking for a Data Manager (Azure & SQL) to help govern the data for a rapidly growing business. The Data Manager (Azure & SQL) will manage and develop the Data Cube, the primary data warehouse for reporting. Our client is completing Phase 1 of the Data Cube development and are investing in development for Phase 2, growing the Data Team in line with business goals. The Data Manager (Azure & SQL) will be helping to integrate business data across a wide range of business and application suites, so any experience working on integrations is very helpful. Managing a small team of staff, this role would suit an experienced Data Manager looking for a new challenge in a greenfield site, or perhaps a Senior Data Analyst used to supervising others, looking to a manger level.


Responsibilities of the Data Manager (Azure & SQL):


- Work with finance on Data requirements and Data Cube Models

- Provide insights and manage Data Cube deliveries, ensuring smooth functioning of the Data Cube

- Manage a small team of 2 - 3 FTE Data Analysts

- Responsible for Data Cube Integrity, ensuring data in the cube is protected

- Share knowledge of business systems integrations (SQL), API's and data warehousing with junior team members

- Create and implement data collection techniques


Background of the Data Manager (Azure & SQL):


- Strong background in Data is absolutely essential, a Data Governance mindset is essential

- Strong MS SQL skills essential

- Experience in designing and deploying data warehouses and data cubes

- Solid MS Azure experience is essential

- Experience in supervising, developing or managing other people preferable

- Experience working with finance teams helpful

- MS Fabric, Business Central and PowerBI skills all handy but not essential


Is this job for you? At Meraki, we love recruitment and love words. Is this you?


Gordon wants: Data, Data Cubes, SQL, Fabric, PowerBI, Manager, Azure


Please see our website page headed (eg) ‘Privacy Notice’ for an explanation about how we use information we collect about you’

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

Machine‑Learning Jobs for Non‑Technical Professionals: Where Do You Fit In?

The Model Needs More Than Math When ChatGPT went viral and London start‑ups raised seed rounds around “foundation models,” many professionals asked, “Do I need to learn PyTorch to work in machine learning?” The answer is no. According to the Turing Institute’s UK ML Industry Survey 2024, 39 % of advertised ML roles focus on strategy, compliance, product or operations rather than writing code. As models move from proof‑of‑concept to production, demand surges for specialists who translate algorithms into business value, manage risk and drive adoption. This guide reveals the fastest‑growing non‑coding ML roles, the transferable skills you may already have, real transition stories and a 90‑day action plan—no gradient descent necessary.

Careers Jobs

Quantexa Machine‑Learning Jobs in 2025: Your Complete UK Guide to Joining the Decision‑Intelligence Revolution

Money‑laundering rings, sanctioned entities, synthetic identities—complex risks hide in plain sight inside data. Quantexa, a London‑born scale‑up now valued at US $2.2 bn (Series F, August 2024), solves that problem with contextual decision‑intelligence (DI): graph analytics, entity resolution and machine learning stitched into a single platform. Banks, insurers, telecoms and governments from HSBC to HMRC use Quantexa to spot fraud, combat financial crime and optimise customer engagement. With the launch of Quantexa AI Studio in February 2025—bringing generative AI co‑pilots and large‑scale Graph Neural Networks (GNNs) to the platform—the company is hiring at record pace. The Quantexa careers portal lists 450+ open roles worldwide, over 220 in the UK across data science, software engineering, ML Ops and client delivery. Whether you are a graduate data scientist fluent in Python, a Scala veteran who loves Spark or a solutions architect who can turn messy data into knowledge graphs, this guide explains how to land a Quantexa machine‑learning job in 2025.

Jobs

Machine Learning vs. Deep Learning vs. MLOps Jobs: Which Path Should You Choose?

Machine Learning (ML) continues to transform how businesses operate, from personalised product recommendations to automated fraud detection. As ML adoption accelerates in nearly every industry—finance, healthcare, retail, automotive, and beyond—the demand for professionals with specialised ML skills is surging. Yet as you browse Machine Learning jobs on www.machinelearningjobs.co.uk, you may encounter multiple sub-disciplines, such as Deep Learning and MLOps. Each of these fields offers unique challenges, requires a distinct skill set, and can lead to a rewarding career path. So how do Machine Learning, Deep Learning, and MLOps differ? And which area best aligns with your talents and aspirations? This comprehensive guide will define each field, highlight overlaps and differences, discuss salary ranges and typical responsibilities, and explore real-world examples. By the end, you’ll have a clearer vision of which career track suits you—whether you prefer building foundational ML models, pushing the boundaries of neural network performance, or orchestrating robust ML pipelines at scale.

🍪 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.