Data Architect

Searchability
Manchester
1 month ago
Applications closed

Related Jobs

View all jobs

Data Architect

Data Architect

Data Architect

Data Architect

Data Architect

Data Architect Manager

Data Architect - MANCHESTER


  • Opportunity for aData Architectto join an innovative data consultancy in Manchester
  • Salary up to £90,000 + some fantastic benefits including hybrid working, enhanced maternity and paternity pay, training programmes and more.
  • Apply online or contact Chelsea Hackett via



WHO WE ARE:


We are a consultancy, based in the UK, offering various services to help organisations make better use of their data. Our expertise spans areas like strategy, management, engineering, migration, cloud technologies, and analytics.

Working across multiple industries such as retail, telecoms, healthcare, and finance, the company focuses on a people-cantered approach, emphasising collaboration, innovation, and responsible use of data.


OUR BENEFITS:


  • Flexible and hybrid working
  • Autonomous working
  • Generous holiday allowance & your birthday off
  • Enhanced maternity and paternity pay
  • Annual bonuses
  • Training and coaching programme
  • And more…



WHAT WILL YOU BE DOING?


You will be responsible for presenting and explaining architectural decisions to stakeholders at various levels, while supporting clients across multiple sectors. Your role will also involve debugging and optimising existing solutions, as well as ensuring resource consumption and cost optimisation. Additionally, you will develop a strong understanding of governing enterprise-level data environments, and contribute to testing and documentation efforts to ensure quality and consistency across projects.


DATA ARCHITECT – ESSENTIAL SKILLS


  • Proficient in data modeling and Microsoft Fabric solutions
  • Experienced in implementing Modern Data Warehouse architectures
  • Familiar with Azure Data Engineer technologies (ADF, Azure SQL, Synapse)
  • Skilled in designing and maintaining Microsoft solutions
  • Python experience
  • Strong knowledge of SQL, NoSQL, CosmosDB, and KQL
  • Experienced in data pipeline development for cloud and on-prem data sources
  • Excellent problem-solving, analytical, and communication skills
  • Eager to learn and adapt to new technologies


TO BE CONSIDERED…


Please either apply by clicking online or emailing me directly . By applying to this role you give express consent for us to process and submit (subject to required skills) your application to our client in conjunction with this vacancy only.

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.

Careers Jobs

Top 10 Books to Advance Your Machine Learning Career in the UK

Machine learning (ML) remains one of the fastest-growing fields within technology, reshaping industries across the UK from finance and healthcare to e-commerce, telecommunications, and beyond. With increasing demand for ML specialists, job seekers who continually update their knowledge and skills hold a significant advantage. In this article, we've curated ten essential books every machine learning professional or aspiring ML engineer in the UK should read. Covering foundational theory, practical implementations, advanced techniques, and industry trends, these resources will equip you to excel in your machine learning career.

Careers

Navigating Machine Learning Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

Machine learning (ML) has swiftly become one of the most in-demand skill areas across industries, with companies leveraging predictive models and data-driven insights to solve challenges in healthcare, finance, retail, manufacturing, and beyond. Whether you’re an early-career data scientist aiming to break into ML, a seasoned engineer branching into deep learning, or a product manager exploring AI-driven solutions, machine learning career fairs offer a powerful route to connect with prospective employers face-to-face. Attending these events can help you: Network with hiring managers and technical leads who make direct recruitment decisions. Gain insider insights on the latest ML trends and tools. Learn about emerging job roles and new industry verticals adopting machine learning. Showcase your interpersonal and communication skills, both of which are increasingly important in collaborative AI/ML environments. However, with many applicants vying for attention in a bustling hall, standing out isn’t always easy. In this detailed guide, we’ll walk you through how to prepare meticulously, pitch yourself confidently, ask relevant questions, and follow up effectively to land the machine learning opportunity that aligns with your ambitions.

Jobs

Common Pitfalls Machine Learning Job Seekers Face and How to Avoid Them

Machine learning has emerged as one of the most sought-after fields in technology, with companies across industries—from retail and healthcare to finance and manufacturing—embracing data-driven solutions at an unprecedented pace. In the UK, the demand for skilled ML professionals continues to soar, and opportunities in this domain are abundant. Yet, amid this growing market, competition for machine learning jobs can be fierce. Prospective employers set a high bar: they seek candidates with not just theoretical understanding, but also strong practical skills, business sense, and an aptitude for effective communication. Whether you’re a recent graduate, a data scientist transitioning into machine learning, or a seasoned developer pivoting your career, it’s essential to avoid common mistakes that may hinder your prospects. This blog post explores the pitfalls frequently encountered by machine learning job seekers, and offers actionable guidance on how to steer clear of them. If you’re looking for roles in this thriving sector, don’t forget to check out Machine Learning Jobs for the latest vacancies across the UK. In this article, we’ll break down these pitfalls to help you refine your approach in applications, interviews, and career development. By taking on board these insights, you can significantly enhance your employability, stand out from the competition, and secure a rewarding position in the world of machine learning.

🍪 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.