National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Architect

BJSS
South Yorkshire
1 year ago
Create job alert

About the Role

We 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 You

Technology 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 analytical warehouses.

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 Perks

Flexible 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 other Life Assurance (4 x annual salary) 25 days annual leave plus bank holidays Hybrid 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 WFH Discounts – we have preferred rates from dozens of retail, lifestyle, and utility brands An industry-leading referral scheme with no limits on the number of referrals Flexible holiday buy/sell option Electric vehicle scheme Training opportunities and incentives – we support professional certifications across engineering and non-engineering roles, including unlimited access to O’Reilly Giving back – the ability to get involved nationally and regionally with partnerships to get people from diverse backgrounds into tech You will become part of a squad with people from different areas within the business who will help you grow at BJSS We have a busy social calendar that you can chose to join– quarterly town halls/squad nights out/weekends away with families included/office get togethers GymFlex gym membership programme

Related Jobs

View all jobs

Data Architect

Data Architect

Data Architect

Data Architect

Data Architect

Solution Architect

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

Data Science Jobs Skills Radar 2026: Emerging Tools, Languages & Platforms to Learn Now

The UK’s data science job market is evolving fast—from forecasting models and AI assistants to real-time decision systems. In 2026, data scientists aren’t just expected to build models—they’re responsible for shaping insights that fuel everything from patient care to predictive banking. Welcome to the Data Science Jobs Skills Radar 2026—your essential annual guide to the languages, tools, and platforms driving demand across the UK. Whether you’re entering the job market or reskilling mid-career, this roadmap helps you prioritise the skills that matter most right now.

How to Find Hidden Data Science Jobs in the UK Using Professional Bodies like the RSS, BCS & More

The data science job market in the UK is thriving—but also increasingly competitive. As organisations in finance, healthcare, retail, government, and tech accelerate digital transformation, the demand for data talent has soared. Yet many of the best data science jobs are never posted publicly. They’re shared behind closed doors—within professional networks, at invite-only events, or through member-only mailing lists and specialist interest groups. These “hidden” roles are often filled through referrals, collaborations, or direct outreach to trusted experts. In this guide, we’ll show you how to unlock these hidden opportunities by engaging with key UK professional bodies such as the Royal Statistical Society (RSS), BCS (The Chartered Institute for IT), and Turing Society, plus communities like PyData and AI UK. You’ll learn how to use directories, CPD events, and networks to move beyond job boards—and into roles where you’re approached, not just applying.

How to Get a Better Data Science Job After a Lay-Off or Redundancy

Redundancy can be tough to face, especially in a competitive field like data science. But it’s important to know: your experience, analytical thinking, and modelling skills are still in demand. Across sectors like healthcare, finance, e-commerce, government and AI startups, UK employers continue to seek data scientists who can deliver value through insight, prediction, and automation. This guide will walk you through how to bounce back from redundancy with purpose and clarity—whether you're a data analyst looking to step up, a mid-level data scientist, or a machine learning specialist seeking a better-aligned opportunity.