83Zero Ltd

ServiceNow Architect Salary: 90,000 - 100,000 + Bens, Perks, Healthcare options, Pension Location: Manchester (UK wide 2-3days onsite) About the Role We're seeking an experienced ServiceNow Architect who is passionate about designing scalable, high-quality solutions that improve business processes and user experience. This role combines strategic solution design with hands-on delivery, working closely with technology teams, automation specialists, and client stakeholders. You'll play a key role in transforming customer platforms while helping shape the future technical direction of ServiceNow implementations. Hybrid working model: This role offers a flexible blend of office, client site, and home working (not fully remote). Your Role As a senior member of the ServiceNow team, you'll be responsible for shaping architecture standards and ensuring delivery excellence. You will: Work closely with stakeholders to gather business requirements and translate them into technical designs Lead the architecture and solution design of ServiceNow implementations, including custom applications and integrations Oversee configuration and customisation across ServiceNow modules such as ITSM, ITOM, HRSD and others Maintain platform architecture standards to ensure consistency, scalability and best-practice adoption Provide technical leadership and mentorship to ServiceNow developers Stay up to date with ServiceNow releases and platform enhancements to drive continuous improvement Your Skills and Experience You'll bring: Strong experience in ServiceNow development and solution architecture Proven track record designing and delivering ServiceNow solutions across multiple modules Proficiency in JavaScript, HTML and CSS ServiceNow CAD and CIS certifications (preferred), or equivalent hands-on experience Excellent communication skills with the ability to engage both technical and non-technical stakeholders Security Clearance Requirements This role requires Security Check (SC) clearance. Applicants must have lived continuously in the UK for the past five years and meet additional clearance requirements. Some roles may require sole UK nationality. Eligibility will be assessed throughout the recruitment process. What's in It for You? You'll join a forward-thinking organisation focused on innovation, wellbeing, and career progression. Support for mental health and wellbeing Opportunities to work on high-impact digital transformation projects Exposure to diverse industries and technologies Strong focus on professional development and certification pathways You'll help deliver technology solutions that create lasting value.

AI Product Analyst Contract: Permanent Location: Sheffield - Onsite 3 days per week Salary: 65,000 - 75,000 Work Style: Hybrid Overview We are seeking an AI Product Analyst to join a consultancy supporting a global financial services organisation on its enterprise-wide AI strategy and governance journey. You will play a key role in driving business analysis, lifecycle management, and product support for AI use cases across global business and functional teams. Working at the intersection of strategy, governance, and technology, you will help ensure AI initiatives are delivered efficiently, responsibly, and in alignment with group standards. Experience within Financial Services is highly beneficial. Onsite presence in Sheffield is required three days per week. Responsibilities Drive business analysis and requirements gathering by engaging with senior stakeholders, translating business needs into clear, actionable deliverables for AI. Apply data modelling expertise to optimise the AI use case lifecycle, identifying opportunities to streamline processes, improve efficiency, and accelerate time-to-market while maintaining strong governance and risk controls Lead project management activities using both Agile and Waterfall methodologies, creating detailed project plans, coordinating cross-functional teams, and tracking progress to ensure timely delivery of milestones Present technical solutions and recommendations to stakeholders, clearly articulating business value and impact, and facilitating acceptance testing to validate successful implementation Champion customer success by proactively resolving product and process queries, ensuring a seamless user experience and continuously incorporating feedback to enhance the product Collaborate with AI, data, risk, and governance teams to ensure alignment with responsible-AI principles and regulatory expectations Support documentation, reporting, and ongoing optimisation of AI lifecycle processes Required Experience Strong business analysis and requirements gathering experience within complex, enterprise environments Experience with data modelling and lifecycle or process optimisation Proven project management capability across Agile and Waterfall delivery models Experience presenting technical solutions to both technical and non-technical stakeholders Understanding of AI/ML technologies and the AI development lifecycle Hands-on experience with tools such as Jira for tracking delivery and requirements Strong stakeholder management skills across cross-functional teams Experience supporting acceptance testing and structured delivery governance Desirable Experience working within Financial Services or other regulated industries Exposure to Responsible AI, AI governance, or model risk frameworks Experience supporting enterprise product or platform implementations Please apply today!

Day rate: 500 - 550 Inside IR35 Location: London Key Responsibilities Design, build, and maintain scalable data pipelines , ETL processes, and data integrations. Develop and optimize data models , storage solutions, and analytics environments. Partner with UX/UI designers to create user-friendly dashboards, data tools, and internal products . Implement visualizations that make complex datasets understandable for technical and non-technical users. Work with cross-functional teams to translate product requirements into technical designs. Ensure data quality, governance, and best practices across systems. Contribute to the evolution of our design systems and front-end components for data tools. Required Skills & Experience Proven experience as a Data Engineer , BI Engineer , or similar role. Strong proficiency in SQL , Python , and modern data engineering frameworks (e.g., Airflow, dbt, Spark, etc.). Experience with cloud platforms such as AWS, Azure, or GCP. Solid understanding of data warehousing and ETL/ELT architecture. Demonstrable UX/UI skills: wireframing, prototyping, and designing clean, intuitive interfaces. Experience with front-end technologies (e.g., React, Vue, or similar) is a plus. Familiarity with visualization tools (e.g., Tableau, Power BI, or custom solutions).

Business Analyst - 6 month rolling contract - 450 - 500 per day (outside iR35) We are seeking an experienced Contract Business Analyst with payments and FinTech expertise to support ongoing product and platform initiatives. This role requires strong experience delivering end-to-end change across regulated payments environments. WE CANNOT CONSIDER YOUR APPLICATION IF YOU DON'T HAVE A PAYMENTS OR STRONG FINTECH BACKGROUND As an experienced Business Analyst, you will demonstrate proven capability in as-is / to-be analysis, product-led delivery, and complex stakeholder engagement across technology and commercial teams, globally. Key Responsibilities Lead detailed as-is discovery across card issuing, processing, and payments workflows Define and document clear to-be operating models, process flows, and system interactions Translate business and product requirements into high-quality documentation (BRDs, FRDs, user stories, process maps) Work closely with Product Owners to shape and refine roadmap initiatives Facilitate workshops across Technology, Operations, Compliance, and Commercial teams Drive impact assessments and gap analysis across payments platforms Support UAT, defect triage, and production readiness activities Ensure traceability from requirements through to delivery Required Experience Strong payments experience (essential) Issuing, prepaid, virtual cards, digital wallets Card lifecycle management (authorisation, clearing, settlement, chargebacks) Scheme integrations and processor connectivity Proven background in FinTech environments Experience working with modern payments platforms / APIs Strong as-is to to-be transformation experience Deep understanding of payments regulations and compliance considerations Experience working in agile / product-led environments Excellent stakeholder management and workshop facilitation skills Ability to operate autonomously in a fast-paced delivery setting If this role is of interest to you then please send your CV to David Eales.

Senior Data Engineer Location: London Employment Type: Full-time Salary: 80k per annum + 10% bonus & bens Sector: Fintech / Payments Overview We are looking for a skilled Senior Data Engineer with a strong foundation in data analytics to join our growing team. The ideal candidate will have previously worked as a Data Analyst and since transitioned into a more engineering-focused role. You'll help us scale our data infrastructure, design and build robust data models, and contribute directly to our data platform's evolution. This is a hands-on role where you'll be expected to hit the ground running, contribute to ongoing projects with minimal hand-holding, and help us maintain (and improve) the current team's velocity. Key Responsibilities Design, develop, and maintain data models to support analytical and operational use cases. Write efficient, production-grade SQL to build data pipelines and transformations. Develop and maintain data workflows and automation scripts in Python . Collaborate with analysts, engineers, and stakeholders to deliver high-quality data solutions. (Optional but highly valued) Contribute to our infrastructure as code efforts using tools like Terraform . Work with modern data warehousing technologies such as Snowflake to ensure scalable and high-performing solutions. Skills & Experience 5+ years of experience in data roles, ideally transitioning from Data Analyst to Data Engineer . Proven expertise in SQL and building complex data models. Strong proficiency in Python for data processing, ETL, and workflow automation. Experience with cloud data platforms (Snowflake experience highly desirable). Exposure to or experience with Terraform or similar infrastructure-as-code tools is a strong plus. Comfortable working in fast-paced environments and able to contribute quickly without extensive onboarding. Nice to Have Experience with modern data stack tools (e.g., dbt, Airflow, etc.). Understanding of CI/CD pipelines and data infrastructure automation. Familiarity with data governance, security, and best practices in a cloud environment.