Data Engineering Consultant

Bristol
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

Recruitment Consultant

Consultant - Data & AI Strategy - Data Management

Recruitment Consultant (Progression to Director)

Consulting Data Engineer

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.

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.

AI Programming Languages for Job Seekers: Which Should You Learn First to Launch Your AI Career?

Artificial Intelligence (AI) is no longer confined to academic research; it now sits at the core of countless modern industries. From healthcare diagnostics powered by machine learning to autonomous driving and natural language processing, organisations are investing heavily in AI capabilities. This surge in AI adoption has created a thriving job market for talented professionals—data scientists, machine learning engineers, AI researchers, and more. Yet if you’re aiming to break into this fast-growing field, one of the first questions you’ll ask is, “Which AI programming language should I learn first?” Given the array of options available—Python, R, Java, C++, Julia, among others—understanding the strengths, community support, and industry relevance of each is crucial. In this extensive guide, tailored for www.artificialintelligencejobs.co.uk, we’ll explore the top AI programming languages that can help you stand out to employers, accelerate your learning curve, and equip you with the skills to succeed in a competitive job market. By addressing both beginners and experienced programmers, we aim to provide actionable insights to help you choose the right language, master essential tools, and build a compelling career in AI.