Data Architect

Lincoln
9 months ago
Applications closed

Related Jobs

View all jobs

Data Engineering Director

Data Engineering Director

Data Engineering Leader: Scale & Architect Platforms

GCP Data Architect & Big Data Engineer

Lead Data Engineer / Architect – Databricks Active - SC Cleared

Senior Data Engineer: Architect Scalable Data Platforms

Are you passionate about transforming data into insights? Do you thrive in a dynamic environment where your expertise can make a real difference? Our client, a leading organisation in public services, is looking for a skilled Data Architect to join their innovative Digital and Data Solutions team!

About the Role:

As the Data Architect, you will play a pivotal role in shaping the data architecture for the organisation. You will be responsible for the design, implementation, and management of data systems that drive intelligence and insights across the Force. Your work will help to combat crime, protect vulnerable individuals, and enhance decision-making at all levels.

### Key Responsibilities:

Leadership & Expertise: Serve as the subject matter expert on data architecture and provide guidance to partner organisations.
Data Strategy Development: Design and implement a robust data architecture strategy that aligns with organisational goals.
Data Solutions: Collaborate with chief officers to translate visions into actionable data solutions and support performance analytics.
Data Governance: Lead the establishment of data classification standards and access control mechanisms to ensure compliance.
Emerging Technologies: Stay ahead of trends and innovations in data management, introducing new tools and frameworks to enhance efficiency.

### What We're Looking For:

Qualifications: A degree in Computer Science, IT, or a related field, along with practical experience in data architecture.
Technical Skills: Proficient in query languages (SQL, Java, etc.), data management technologies, and data visualisation tools (PowerBI, Qlik).
Experience: Proven track record as a Data Architect or Data Engineer, with hands-on experience in cloud-based data platforms.
Interpersonal Skills: Excellent communication skills to engage effectively with stakeholders at all levels.

### Why Join Us?

Make an Impact: Your work will directly contribute to enhancing public safety and improving community services.
Collaborative Environment: Work alongside a talented team of data engineers, BI developers, and dashboard designers.
Professional Growth: Engage with national design authorities and expand your expertise in a supportive setting.
Competitive Compensation: Enjoy a fixed hourly rate of £29.06, with the opportunity for professional development.

If you're ready to take on a challenging yet rewarding role where your skills can shine, we want to hear from you!

Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.

Adecco acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers. The Adecco Group UK & Ireland is an Equal Opportunities Employer.

By applying for this role your details will be submitted to Adecco. Our Candidate Privacy Information Statement explains how we will use your information - please copy and paste the following link in to your browser

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.

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

Education

The Skills Gap in Machine Learning Jobs: What Universities Aren’t Teaching

Machine learning has moved from academic research into the core of modern business. From recommendation engines and fraud detection to medical imaging, autonomous systems and language models, machine learning now underpins many of the UK’s most critical technologies. Universities have responded quickly. Machine learning modules are now standard in computer science degrees, specialist MSc programmes have proliferated, and online courses promise to fast-track careers in the field. And yet, despite this growth in education, UK employers consistently report the same problem: Many candidates with machine learning qualifications are not job-ready. Roles remain open for months. Interview processes filter out large numbers of applicants. Graduates with strong theoretical knowledge struggle when faced with practical tasks. The issue is not intelligence or effort. It is a persistent skills gap between university-level machine learning education and real-world machine learning jobs. This article explores that gap in depth: what universities teach well, what they routinely miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in 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.