Senior Technical Architect - Utilities (6 month FTC)

London
9 months ago
Applications closed

Related Jobs

View all jobs

Data Architect

Data Architect

Senior Data Scientist - Hertfordshire, HP2 4YL

Data Architect

Principal Data Engineer

Principal Data Engineer

Location: We operate a flexible, hybrid working environment with the candidate required to travel to either our Winchester or London office twice a week.

We offer

  • Competitive base salary up to £97,000

  • 15% Bonus

  • 6% pension contribution

  • Private Medical

  • 25 days annual leave

  • Access to our comprehensive flexible benefits including discounts on big brands, wellness and employee assistance programmes, gymflex, buy and sell annual leave, travel and dental insurance

  • Work. Life. Smarter. Our commitment to a flexible and hybrid working culture

    Role Purpose

    As a Senior Technical Architect, you will lead the end-to-end architectural solution design, platform, and supplier integrations within the Utilities sector. You will collaborate with Enterprise Architecture, Product Managers, and Platform Owners to innovate and develop strategic growth initiatives that align and mature our core architecture capabilities in line with an ambitious Utilities Growth Vision.

    Accountabilities

  • Maintaining and expanding the SMART metering portfolio: Bringing new and exciting innovation products to market.

  • Developing a growing portfolio of multiple communications technologies: Including Radio Frequencies, LTE, NBIoT, and Satellite.

  • Building enduring relationships with key business and technology stakeholders: Including customers, internal platform teams, outsource partners, and suppliers.

  • Supporting the completion of RFPs: Providing consultancy and written contributions.

  • Leading and producing clear and well-written end-to-end high-level designs (HLDs): Ensuring compliance with Arqiva design principles.

  • Leading and contributing to vendor selection: Writing RFPs and scoring responses.

  • Influencing key technical decisions: Professionally and confidently debating and challenging.

  • Balancing architectural requirements against business and operational objectives.

  • Strategic roadmap planning: Working alongside Enterprise Architects and Product Managers.

  • Providing architecture assurance: Engaging with internal and external stakeholder groups.

  • Developing and ensuring the adoption of best practices: In architecture and systems engineering standards and procedures.

  • Producing and maintaining relevant design patterns: For repeatable change.

  • Participating in the full cycle of pre-sale activities: Engaging with new and existing customers.

  • Leading design workshops: Successfully solving technical problems.

  • Strengthening relationships with our customers: Including customer visits and workshops.

  • Incorporating a great customer experience into all designs.

  • Considering commercial impacts for all designs: Including delivery and operational costs.

  • Contributing to continuous improvement: Of design policies, processes, and procedures

    Required

  • Outstanding stakeholder management, collaborative engagement abilities

  • Proven experience in providing technical and delivery leadership

  • Exceptional written and verbal communication skills, including executive-level presentations

  • Demonstrable ability to innovate and strategically address technical challenges

  • Good experience within the telecommunications or utilities sectors; including smart metering, M2M, IoT, data analytics or related fields

    Qualifications: Degree or relevant experience

    Why join Arqiva? We are the undisputed leader in UK TV and radio broadcast, and the UK’s leading Smart utilities platform. This means we have a strong heritage and foundation for future growth for you to grow your career with us.

    Our journey is to transition global media distribution to cloud solutions, where we aim to double our revenue and continue to grow by being an innovator of scalable solutions for new connectivity sectors. We have opportunities in new technology applications and products, you will have opportunities to learn and develop with us.

    Your wellbeing…. Our wellbeing mission is to help our people to be the best version of themselves at work and still have the time and energy to live a full life outside of work.

    Our focus for 2024 is to Win, Grow, Go Faster – find out more, contact us and apply!

    Inclusive Arqiva ….Our networks include our Diversity Ambassadors, Eldercare, Spectrum, Working Families, Pride, Veterans and Inspiring Women – join and contribute to our active networks

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.

Careers

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

Jobs

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.

Education

The Skills Gap in Data Science Jobs: What Universities Aren’t Teaching

Data science has become one of the most visible and sought-after careers in the UK technology market. From financial services and retail to healthcare, media, government and sport, organisations increasingly rely on data scientists to extract insight, guide decisions and build predictive models. Universities have responded quickly. Degrees in data science, analytics and artificial intelligence have expanded rapidly, and many computer science courses now include data-focused pathways. And yet, despite the volume of graduates entering the market, employers across the UK consistently report the same problem: Many data science candidates are not job-ready. Vacancies remain open. Hiring processes drag on. Candidates with impressive academic backgrounds fail interviews or struggle once hired. The issue is not intelligence or effort. It is a persistent skills gap between university education and real-world data science roles. This article explores that gap in depth: what universities teach well, what they often miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data science.

🍪 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.