Data Architect

BJSS
Sheffield
2 months ago
Applications closed

Related Jobs

View all jobs

Data Architect

Data Architect

Data & AI Architect, Microsoft Azure, PaaS, ETL, Data Modelling Remote

Data Engineer - Python & Azure

Data Modeler

Azure Data Engineer (SQL Development / Azure Services)

Do you want to work with cutting edge data and analytics technologies to help our clients unlock their data potential and value?Do you want to lead and mentor teams of expert technologists on exciting data projects?Do you want to work in an environment that embraces your drive to learn?About UsWe’re an award-winning innovative tech consultancy - a team of creative problem solvers. Since 1993 we’ve been finding better, more sustainable ways to solve complex technology problems for some of the world’s leading organisations and delivered solutions that millions of people use every day.In the last 30 years we won several awards, including a prestigious Queen’s Award for Enterprise in the Innovation category for our Enterprise Agile delivery approach.Operating from 26 locations across the world, we bring together teams of creative experts with diverse backgrounds and experiences, who enjoy working and learning in our collaborative and open culture and are committed to world-class delivery.We want to continue to grow our team with people just like you!About the RoleWe work with clients across all aspects of deriving value from data: from technical implementations like modern data warehousing; through to massively scalable analytics and ML solutions. We help our customers embrace a DataOps culture. We are advocates of Agile methodologies and believe in constant delivery of business value.Our projects manifest both on-premise or in cloud, often driving business intelligence and machine learning capabilities, helping customers achieve their Data as a Service ambitions.As a technical authority, you will interface directly with customers representing BJSS’ deep technical expertise. You will lead delivery teams by example, providing the insight to enable them to craft great solutions that delight our customers.You’ll mentor others to ensure they see the wider picture and meet our exacting standards, while championing the deep experience they bring.About YouTechnology and data are your passions and you get huge reward from seeing excellent solutions delivered. You’re an enthusiastic champion for your subject, and your energy and delivery-focused attitude wins the respect of those around you as a trusted technical advisor.You’re willing to be hands-on when necessary and able to balance innovation and intellectual rigour with pragmatism.You have a constant drive to learn. You’re genuinely passionate about understanding the challenges your customers face and how you can help them.You’ll bring wide experience of the data ecosystem, including: numerous data platforms e.G. Databricks; data modelling approaches; public cloud services including AWS and Azure; a deep knowledge and focus on security and privacy and their applications on data platform implementations; and OLTP and analyticalwarehouses.With experience in Agile and C-Level stakeholder engagement, you’ll be knowledgeable in the full product lifecycle from discovery to delivery and a champion of quality.Some of the PerksFlexible benefits allowance – you choose how to spend your allowance (additional pension contributions, healthcare, dental and more)Industry leading health and wellbeing plan - we partner with several wellbeing support functions to cater to each individual's need, including 24/7 GP services, mental health support, and otherLife Assurance (4 x annual salary)25 days annual leave plus bank holidaysHybrid working - Our roles are not fully remote as we take pride in the tight knit communities we have created at our local offices. But we offer plenty of flexibility and you can split your time between the office, client site and WFHDiscounts – we have preferred rates from dozens of retail, lifestyle, and utility brandsAn industry-leading referral scheme with no limits on the number of referralsFlexible holiday buy/sell optionElectric vehicle schemeTraining opportunities and incentives �� we support professional certifications across engineering and non-engineering roles, including unlimited access to O’ReillyGiving back – the ability to get involved nationally and regionally with partnerships to get people from diverse backgrounds into techYou will become part of a squad with people from different areas within the business who will help you grow at BJSSWe have a busy social calendar that you can choose to join– quarterly town halls/squad nights out/weekends away with families included/office get togethersGymFlex gym membership programme

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.

10 Ways AI Pros Stay Inspired: Boost Creativity with Side Projects, Hackathons & More

In the rapidly evolving world of Artificial Intelligence (AI), creativity and innovation are critical. AI professionals—whether data scientists, machine learning engineers, or research scientists—must constantly rejuvenate their thinking to solve complex challenges. But how exactly do these experts stay energised and creative in their work? The answer often lies in a combination of strategic habits, side projects, hackathons, Kaggle competitions, reading the latest research, and consciously stepping out of comfort zones. This article will explore why these activities are so valuable, as well as provide actionable tips for anyone looking to spark new ideas and enrich their AI career. Below, we’ll delve into tried-and-tested strategies that AI pros employ to drive innovation, foster creativity, and maintain an inspired outlook in an industry that can be both exhilarating and daunting. Whether you’re just starting your AI journey or you’re an experienced professional aiming to sharpen your skills, these insights will help you break out of ruts, discover fresh perspectives, and bring your boldest ideas to life.

Top 10 AI Career Myths Debunked: Key Facts for Aspiring Professionals

Artificial Intelligence (AI) is one of the most dynamic and rapidly growing sectors in technology today. The lure of AI-related roles continues to draw a diverse range of job seekers—from seasoned software engineers to recent graduates in fields such as mathematics, physics, or data science. Yet, despite AI’s growing prominence and accessibility, there remains a dizzying array of myths surrounding careers in this field. From ideas about requiring near-superhuman technical prowess to assumptions that machines themselves will replace these jobs, the stories we hear sometimes do more harm than good. In reality, the AI job market offers far more opportunities than the alarmist headlines and misconceptions might suggest. Here at ArtificialIntelligenceJobs.co.uk, we witness firsthand the myriad roles, backgrounds, and success stories that drive the industry forward. In this blog post, we aim to separate fact from fiction—taking the most pervasive myths about AI careers and debunking them with clear, evidence-based insights. Whether you are an established professional considering a career pivot into data science, or a student uncertain about whether AI is the right path, this article will help you gain a realistic perspective on what AI careers entail. Let’s uncover the truth behind the most common myths and discover the actual opportunities and realities you can expect in this vibrant sector.

Global vs. Local: Comparing the UK AI Job Market to International Landscapes

How to navigate salaries, opportunities, and work culture in AI across the UK, the US, Europe, and Asia Artificial Intelligence (AI) has evolved from a niche field of research to an integral component of modern industries—powering everything from chatbots and driverless cars to sophisticated data analytics in finance and healthcare. The job market for AI professionals is consequently booming, with thousands of new positions posted each month worldwide. In this blog post, we will explore how the UK’s AI job market compares to that of the United States, Europe, and Asia, delving into differences in job demand, salaries, and workplace culture. Additionally, we will provide insights for candidates considering remote or international opportunities. Whether you are a freshly qualified graduate in data science, an experienced machine learning engineer, or a professional from a parallel domain looking to transition into AI, understanding the global vs. local landscape can help you make an informed decision about your career trajectory. As the demand for artificial intelligence skills grows—and borders become more porous with hybrid and remote work—the possibilities for ambitious job-seekers are expanding exponentially. This article will offer a comprehensive look at the various regional markets, exploring how the UK fares in comparison to other major AI hubs. We’ll also suggest factors to consider when choosing where in the world to work, whether physically or remotely. By the end, you’ll have a clearer picture of the AI employment landscape, and you’ll be better prepared to carve out your own path.