Data Engineering Consultant

London
3 weeks ago
Create job alert

Data Engineering Consultant

I am working with a Microsoft Partnered consultancy who are looking for a Data Engineering to join their growing team. You will have the opportunity to work on a variety of client projects across a number of different industries such as retail, finance and the public sector.

In this role you will utilise your experience with the latest Azure technologies to ensure the timely delivery of data solutions to clients. You will work on a number of projects that will enable you to continually develop your existing skill set. You will be joining a people centred business, who invest heavily in its team and will be given the opportunity to explore other areas of technologies that may be of interest to you, including data science, machine learning and AI.

My client also support their clients with the implementation of D365, so you will have the opportunity to aid organisations in the integration and optimisation of data within a Dynamics 365 CRM environment. This is a dynamic role where you will work with a modern cloud focused tech stack and continue with your development

As part of this role, you will be responsible for some of the following areas.

Create robust ETL solutions using Microsoft SQL Server and Azure tech stack
The migration of client data solutions from on-premise to Azure
Be responsible for the design and implementation of data lake solutions
Integrate D365 CRM into client data platforms and aid with the creation of analytics solutions to gain meaningful insight from data
Support clients throughout the project life cycle To be successful in the role you will have.

Experience working with the Azure tech stack including Azure Data Factory, Synapse and Azure Data Lake.
Experience designing and implementing ETL solutions.
Coding experience with languages such as SQL and Python.
Exposure to D365
Excellent communication skillsThis is a home-based role, where you may be required to travel to client sites on an ad-hoc basis and travel to company social events. Some of the benefits included are listed below.

Starting salary of up to £60,000
23 days annual leave allowance plus bank holidays (rising to 28 days with service)
Company pension scheme
Private health/medical care
Various retail discounts and more!This is just a brief overview of the role. For the full information, simply apply to the role with your CV, and I will call you to discuss further. My client is looking to begin the interview process ASAP, so don't miss out, APPLY now! To do so please email me at (url removed) or call me on (phone number removed)

Related Jobs

View all jobs

Data Engineering Consultant

Data Engineering Manager

Senior DevOps Engineer

Managing Consultant - Data & AI Strategy - Data Strategy

Consulting Data Engineer

Machine Learning Consultant - Experienced

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.

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

Your Seat at the AI Table Artificial Intelligence (AI) has left the lab and entered boardrooms, high‑street banks, hospitals and marketing agencies across the United Kingdom. Yet a stubborn myth lingers: “AI careers are only for coders and PhDs.” If you can’t write TensorFlow, surely you have no place in the conversation—right? Wrong. According to PwC’s UK AI Jobs Barometer 2024, vacancies mentioning AI rose 61 % year‑on‑year, but only 35 % of those adverts required advanced programming skills (pwc.co.uk). The Department for Culture, Media & Sport (DCMS) likewise reports that Britain’s fastest‑growing AI employers are “actively recruiting non‑technical talent to scale responsibly” (gov.uk). Put simply, the nation needs communicators, strategists, ethicists, marketers and project leaders every bit as urgently as it needs machine‑learning engineers. This 2,500‑word guide shows where you fit in—and how to land an AI role without touching a line of Python.

ElevenLabs AI Jobs in 2025: Your Complete UK Guide to Crafting Human‑Level Voice Technology

"Make any voice sound infinitely human." That tagline catapulted ElevenLabs from hack‑day prototype to unicorn‑status voice‑AI platform in under three years. The London‑ and New York‑based start‑up’s text‑to‑speech, dubbing and voice‑cloning APIs now serve publishers, film studios, ed‑tech giants and accessibility apps across 45 languages. After an $80 m Series B round in January 2024—which pushed valuation above $1 bn—ElevenLabs is scaling fast, doubling revenue every quarter and hiring aggressively. If you’re an ML engineer who dreams in spectrograms, an audio‑DSP wizard or a product storyteller who can translate jargon into creative workflows, this guide explains how to land an ElevenLabs AI job in 2025.

AI vs. Data Science vs. Machine Learning Jobs: Which Path Should You Choose?

In recent years, the fields of Artificial Intelligence (AI), Data Science, and Machine Learning (ML) have experienced explosive growth. Spurred by the increase in data availability, advances in computing power, and the demand for intelligent decision-making, organisations of all sizes are investing heavily in these areas. If you’ve been exploring AI jobs on www.artificialintelligencejobs.co.uk, you’ve likely noticed that employers use terms like “AI,” “Data Science,” and “Machine Learning”—often interchangeably. While they are closely related, there are nuanced differences between these fields. Understanding these distinctions is key if you’re trying to decide which path suits you best. This comprehensive guide will help you differentiate among AI, Data Science, and Machine Learning. We will discuss the key skills for each, typical job roles, salary ranges, and provide real-world examples of professionals working in these fields. By the end, you should have a clearer idea of where your strengths and passions might fit, helping you take the next step towards securing your ideal role in the world of data-driven innovation.