21 jobs found

Summary As a Senior Cloud Architect on our Cloud Engineering team, you will lead the design and implementation of complex cloud solutions for our clients across multiple cloud platforms. You will serve as a technical leader and subject matter expert, providing strategic guidance on cloud architecture, security, cost optimization, and the secure adoption of enterprise AI capabilities. You will mentor junior team members while driving innovation and best practices across the organization. The Senior Cloud Architect designs complex, enterprise-grade cloud solutions that address sophisticated business requirements across multi-cloud and hybrid environments. Through expert-level understanding of cloud architecture and emerging technologies, you will lead architectural reviews, optimize cloud costs, and ensure solutions meet the highest standards of security, scalability, and reliability. This role requires deep expertise in multiple major cloud platforms and the ability to align technical solutions with business strategy, including the secure and well-governed integration of enterprise AI services into client environments. Responsibilities (including, but not limited to the following) Lead the design and implementation of complex cloud solutions for clients with sophisticated requirements Provide expert-level strategy and technical guidance on cloud architecture across multiple platforms Design and architect complex cloud solutions that span multi-cloud and hybrid environments Lead architectural reviews and provide authoritative guidance on design decisions Implement and optimize complex cloud security controls and compliance frameworks Conduct cloud cost optimization assessments and provide strategic recommendations to maximize ROI Mentor and provide technical leadership to junior cloud engineers and architects Lead client engagements as the primary technical authority on cloud solutions Drive the adoption of cloud best practices and emerging technologies across the organization Guide clients on the secure adoption and integration of enterprise AI platforms (such as Microsoft 365 Copilot, Copilot Studio, Claude Enterprise, or ChatGPT Enterprise), including governance and data handling considerations Advise on data readiness for AI, including sensitivity labeling, permissions hygiene, and oversharing remediation in Microsoft 365 and related platforms Architect multi-region solutions with sophisticated disaster recovery and business continuity planning Develop and maintain cloud architecture standards, patterns, and governance frameworks Translate complex business objectives into comprehensive technical architectures Evaluate and recommend new cloud services and technologies to solve advanced business challenges Lead proof-of-concept initiatives for emerging cloud technologies Provide thought leadership on cloud strategy and roadmap development Skills Must be able to articulate complex technical architectures to executive leadership and diverse stakeholders Ability to deliver innovative, enterprise-grade technology solutions for clients Ability to lead projects under pressure and with competing priorities Highly analytical thinker with advanced troubleshooting and problem-solving skills Must have availability to occasionally work nights and some weekends Expert knowledge of multiple major public cloud platforms (Azure, AWS, and/or Google Cloud) including advanced networking, compute, security, IAM, and cost optimization Expert technical skills with Windows Server Technologies, including Active Directory and hybrid identity solutions Proficiency with git and version control in conjunction with Azure DevOps repositories Deep familiarity with containerization, Kubernetes, and cloud-native application architectures Expert understanding of Windows and Linux environments at the enterprise scale Expert understanding of deploying to Azure using Terraform and other Infrastructure as Code tools Advanced understanding of deploying to Azure using CI/CD processes with complex pipelines Advanced experience with administering Microsoft Fabric Ability to align cloud solutions to complex business needs and strategic objectives Solid proficiency in PowerShell and/or Python with working familiarity in Bash and other scripting languages Ability to read, understand, and optimize complex code and infrastructure configurations Deep understanding of cloud economics and ability to optimize costs at enterprise scale Expert knowledge of security frameworks, compliance requirements, and risk management Fundamental understanding of how generative AI and large language models work, including their limitations (hallucination, prompt injection, non-determinism) and practical mitigations for production use Working knowledge of enterprise AI platforms such as Microsoft 365 Copilot, Copilot Studio, Claude Enterprise, and ChatGPT Enterprise, including their security, governance, and data handling considerations Understanding of AI skills and agentic behavior, including tool use, orchestration patterns, and failure modes Working knowledge of Microsoft Purview, particularly Data Loss Prevention (DLP), Information Protection, and Insider Risk Management, and how these underpin safe enterprise AI adoption Familiarity with Azure AI Foundry, Amazon Bedrock, or Amazon SageMaker; Google Vertex AI experience a bonus Understanding of data readiness principles for AI, including permissions hygiene, oversharing remediation, and sensitivity labeling Awareness of AI regulatory considerations in the US or UK, particularly data residency and auditability (helpful, not required) Qualifications 5+ years of experience in cloud engineering and architecture Proven track record designing and implementing complex, enterprise-scale cloud solutions Senior-level certifications in multiple cloud platforms (e.g., AWS Solutions Architect Professional, GCP Professional Cloud Architect, AZ-305) Demonstrated experience leading cloud architecture for organisations or major clients Expert understanding of multi-cloud and hybrid cloud architectures Proven experience with cloud migration strategies and execution at scale Knowledge of industry standard security frameworks and compliance requirements (e.g., SOC 2, ISO 27001, NIST, HIPAA, PCI-DSS) Expert problem-solving, troubleshooting, and analytical skills Demonstrated leadership abilities including mentoring junior team members Advanced automation capabilities with Infrastructure as Code and CI/CD pipelines Expert understanding of Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Software as a Service (SaaS), and serverless architectures Understanding of enterprise AI deployments (e.g., Microsoft 365 Copilot rollouts, Copilot Studio agents, Azure AI Foundry, Amazon Bedrock, Amazon Q Business, Google Vertex AI, or Gemini for Google Workspace) Strong project management and stakeholder communication skills Experience architecting solutions in highly regulated industries (financial services, healthcare) strongly preferred Experience in the financial sector a plus Experience working at an MSP a plus The Benefits of Working for the company: Generous annual leave entitlement plus bank holidays (pro-rata if part-time working hours apply) Gym discount Life insurance Comprehensive travel insurance for you and your family in line with scheme rules Confidential well-being and counselling support Competitive Compensation Robust benefits package: medical, dental, vision, disability, life insurance Contributory pension scheme Company events Private Medical and Dental Insurance

About Us At Oakland, we help businesses unlock the power of their data. Whetherit'sdata strategy, governance, engineering, analytics, or AI, we work with our clients to turn data into real, impactful results. Our team is made up of friendly, hands on experts who love solving problems and making a difference. We don't just advise, we roll up our sleeves and get stuck in, working alongside our clients every step of the way. Founded in 1986 out of our Leeds HQ, we work with a diverse range of clients across all sorts of industries including Utilities, Telecommunications, Media, Financial Services, Public Sector, and many more! Our projects range from multi year data transformations to specific, shorter term assignments, so you'll have plenty of opportunities to diversify your skillset. We meet high standards for social and environmental impact, transparency, and accountability. We believe businesses should be a force for good, so we make sure our decisions don't just benefit the bottom line but also our people, communities, and the planet. And it's not just us saying we're a great place to work we were recently named a Top 5 Best Consultancy to work for in the UK through Best Companies! We're all about creating an environment where people can grow, do meaningful work, and enjoy the journey. In April 2025, Oakland was acquired by Softcat, a leading provider of IT infrastructure services to corporate and public sectors. By combining Oakland's deep expertise in data and AI consulting with Softcat's extensive portfolio and market presence, we can deliver unparalleled value and innovation to our clients. This partnership marks a significant milestone in our journey, and we're looking forward to achieving great things together. The role As a tech agnostic consultancy, Engineers at Oakland develop a broad range of technical skills. You'll be a programmer at heart, with a strong foundation in data or software engineering and a curiosity for learning new tools, technologies, and approaches. No two projects are the same, so we encourage our Engineers to become technology polyglots and find the best solution to our clients' problems. You'll work alongside experienced colleagues across a variety of engagements, gaining exposure to different technologies while continuing to develop your technical expertise. Our work spans data platform implementations, business intelligence, web applications, AI solutions, and much more. This means you'll have the opportunity to contribute to real client projects while growing into a well rounded technologist within our community of 25+ Engineers. As a Junior Engineer, you'll spend much of your time delivering project work, supported by experienced team members. You'll also spend time investing in ongoing learning and development to build your skills and broaden your experience. Essential Around 1-2 years of commercial experience in software engineering, data engineering, or a related technical field. Working knowledge of SQL, Python, and least one additional programming language such as C#, C++, JavaScript, or TypeScript. A willingness to learn new technologies and work across different areas of our technology stack. Strong problem solving skills and a collaborative approach to working within project teams. It Would Be Great If You Also Have: Exposure to modern data platforms such as Microsoft Fabric, Snowflake, or Databricks. Experience developing web applications using React or similar front end frameworks. Familiarity with DevOps concepts such as Infrastructure as Code (IaC), CI/CD pipelines, Docker, Terraform, or Kubernetes. An interest in AI and emerging technologies, with some exposure to areas such as Generative AI, LLMs, RAG solutions, prompt engineering, or agentic applications. Certifications (Desirable) Azure certifications such as DP-900, DP-700, DP-600, AI-901 or other Azure data and AI certifications. Snowflake SnowPro Core. Equivalent certifications in cloud, data, AI, or software engineering technologies. Blended Working We operate a blended working model, with colleagues spending at least two days per week in the office, aligned to project team requirements. Occasional travel to client sites may also be required. This balance helps us stay connected, learn from each other, and build strong relationships - both within our team and with the businesses we support. Benefits That Put You First Health & Wellbeing- Private Healthcare from day one for you and your household, including dental cover, physiotherapy, mental health support, and access to a range of wellbeing services to keep you feeling your best. Discretionary Bonus- Your hard work won't go unnoticed. When we do well, you'll do well. Generous Pension- 10% employer contribution, plus flexible options so you can adjust to your investment preferences. Giving Back- Support causes you care about with our Payroll Giving Scheme and Matched Charitable Giving program. Bike to Work Scheme- Save money, stay active, and enjoy tax savings on a new bike. Family Friendly Policies- We support all paths to parenthood with: Enhanced Maternity Pay - 16 weeks full pay, 10 weeks half pay. Enhanced Paternity Pay - 2 weeks full pay, 2 weeks half pay. Adoption, Surrogacy & Shared Parental Leave. Fertility Treatment Support - Because your family matters. Time to Recharge- 25 days annual leave + bank holidays (and your allowance grows the longer you're with us!). Learning & Development- We invest in you with: Personalised development plans tailored to your goals. Full support for certifications. Access to The Oakland Academy for a suite of learning materials. An annual Personal Learning Budget to upskill in ways that matter to you. Refer & Earn- Know someone great? If they join us, you'll get a referral bonus as a thank you. Diversity, Equity, Inclusion & Belonging at Oakland At Oakland, we believe that diverse perspectives drive better outcomes - for our people, our clients, and our business. Our commitment to DEIB is not just about policies; it's about creating a workplace where everyone feels heard, valued, and empowered to thrive. We are building a truly inclusive Oakland where you can be yourself - no matter your background, gender, age, race, ethnicity, disability, sexual orientation, or any other characteristic that makes you, you. Fair & Inclusive Hiring Every interviewer completes recruitment and unconscious bias training, and our hiring process is skills based and structured to ensure fairness and consistency for all candidates. Support Throughout the Interview Process If you require any reasonable accommodations to make your interview experience more accessible, our Talent team is here to help - just let us know.

Potter Clarkson LLP is seeking a Junior Data Engineer to join the Business Services Development team. The role focuses on building and maintaining data pipelines, supporting SQL Server environments, and ensuring data quality and security across on-premises and Azure platforms. You will work with Azure Data Services, Fabric and emerging AI tools, contributing to the organisation's data strategy while growing your skills in ETL, analytics, and governance in a legal tech context.

The Junior Data Engineer is a new role within the Business Services Development team, created to help unlock the value of the firm's data and support our long-term Data and AI strategy. Working alongside experienced technology professionals, this role will contribute to the operational support, design, development and maintenance of our data platforms. The role combines hands-on technical delivery with continuous learning across data engineering, database administration and analytics. Responsibilities include supporting our operations, developing and maintaining data pipelines, supporting SQL Server environments, improving data quality and performance and ensuring business data is secure, reliable and accessible. This is an excellent opportunity for someone looking to build on their experience and career in Data Engineering. The role provides exposure to Microsoft SQL Server, Azure Data Services, Microsoft Fabric and emerging AI technologies, while working within a collaborative and supportive environment. Key Responsibilities Maintain, monitor Azure database solutions. Investigate data issues and help resolve discrepancies across source systems. Maintain documentation for data flows, database objects and operational support processes. Build and maintain solutions to extract, transform, and load (ETL) data from various sources (case management system, document management system, finance system, etc.) into centralised data repositories (data Lakehouse). Ensure pipelines are efficient, reliable, and well-documented. Implement a unified data warehouse/data Lakehouse/Medallion Architecture within Fabric/Azure for the business analytical needs. Model structured data (e.g., relational tables in Azure SQL or Microsoft Fabric) to support flexible reporting and analysis, and manage unstructured/semi-structured data (documents, text logs) in a data lake. Combine data from on-premises SQL Server and cloud databases, available APIs as well as files and external data, to create a single source of truth for insights. Develop pipelines, notebooks and workflows for datacleansing, normalisation, and aggregation. Resolve data quality issues by implementing validation rules and collaborating with data owners to correct source data when necessary. Monitor and tune the performance of data queries and pipelines. This includes indexing strategies, query refactoring, partitioning of data, and scaling of Azure resources to meet demand. Support data governance best practices, including access controls for sensitive data, data encryption, and compliance with data privacy regulations (GDPR, etc.). Work with IT security and compliance teams to ensure data solutions meet the company's confidentiality and security standards. Stay current with advancements in data engineering, analytics, and AI. Handle the day-to-day management of the analytical data infrastructure. This includes scheduling and monitoring ETL jobs, troubleshooting failures or data inconsistencies, and ensuring high availability of critical analytics databases. Provide backup and recovery support and front-line support for data-related inquiries or issues. Skills Essential Proficiency in SQL (T-SQL) and strong knowledge of SQL Server (on-prem and Azure SQL). Able to design and optimise relational schemas, indexes, views, and stored procedures for complex data processing. Hands-on experience building ETL/ELT workflows. Familiarity with tools like Azure Data Factory, Fabric Pipelines. Knowledge of Materialized Lake Views (or similar ETL tools) and Logic Apps for orchestrating data movement and transformation between heterogeneous systems. Proficiency in Microsoft Azure data services, including Azure Data Lake Storage, Microsoft Fabric, Medallion Architecture. Strong ability in a programming language for data handling, ideally Python & TSQL. Familiar with scripting for automation (PowerShell or Bash). Demonstrated ability to manipulate data through code (e.g., parsing JSON, calling APIs, etc.). Knowledge and awareness of NoSQL and Big Data Tools including NoSQL databases (e.g., Cosmos DB, MongoDB) and understanding of when to use them. Experience developing reports or dashboards in Power BI (preferred) or similar BI tools (Tableau, Qlik). Monitoring & Alerting: Implement telemetry, logging, and monitoring for cloud data platforms built on Microsoft Fabric and Microsoft Azure, leveraging Azure Monitor, Log Analytics, and Application Insights to track pipeline health, automate alerts, and ensure reliable operation of data ingestion and transformation pipelines. DevOps & CI/CD: Knowledge of modern software development practices. Comfortable using Git for version control. Experience with CI/CD pipelines (Azure DevOps, GitHub Actions, or similar) to automate deployment of data projects. Understanding of Infrastructure-as-Code (e.g., ARM templates, Terraform) for provisioning data infrastructure. Security & Governance: Deep appreciation for data security, privacy, and governance. Familiar with implementing role-based access control, data masking, and encryption. Understands regulatory requirements around data (GDPR, etc.) and ensures compliance in data engineering solutions. Problem-Solving: Excellent problem-solving skills with the ability to troubleshoot data issues across systems (from source data irregularities to ETL bugs to performance bottlenecks). Communication: Strong written and verbal communication skills. Able to document workflows clearly and to explain technical concepts or analysis results to non-technical stakeholders in plain language. Collaboration: Proven ability to work collaboratively in cross-functional teams. Open to feedback and skilled in gathering user requirements. Customer-service mindset when addressing the needs of internal clients (attorneys, management). Desirable Additional Programming: Familiarity with Python or C# for integration with our .NET systems could be beneficial. Infrastructure Knowledge: Experience with hybrid environments (on-prem to cloud integration), and knowledge of networking as relates to data transfer, etc. Experience with high-availability architectures for data pipelines. Project Management: Knowledge of Agile project methodologies. Competencies Adaptability: Ability to switch between different projects and technologies as needed Time Management: Effectively prioritise and manage multiple responsibilities Communication: Clear and consistent communication with team members, management, and stakeholders Teamwork: Collaborate effectively within a team while also being capable of independent work Problem-solving: Analyse complex issues and develop effective solutions Attention to Detail: Emphasis on quality and thoroughness in all aspects of work Continuous Learning: Proactively seek out and apply new knowledge and skills Initiative: Self-motivated with the ability to take ownership of tasks and projects Critical Thinking: Ability to challenge assumptions and ask insightful questions to ensure optimal solutions. Qualifications Education: Bachelor's degree in computer science, Information Systems, Equivalent hands-on experience will be considered. Experience: Minimum 2 years in a data-focused role, with a proven track record of successfully delivering of supporting SQL Server, data pipeline and analytics projects. Other Requirements: Experience in a law company's or professional services environment is welcome but not required. A strong interest in the legal technology domain and eagerness to learn about intellectual property data is important for cultural fit. The Company Potter Clarkson LLP is one of the leading pan-European Intellectual Property law firms, with seven offices across the UK, Denmark, Sweden and Germany. We offer clients a full IP service to support them in achieving their commercial objectives. We pride ourselves in the exceptional level of client care offered by our approachable and engaged team. The firm is consistently ranked in the top tier of major legal guides, such as Legal 500 and MIP. We also hold three independent ISO accreditations which evidence our high level of environmental awareness, service provision and information security. We are committed to promoting a healthy work-life balance, and supporting the wellbeing of all our people. We offer a wealth of health and wellbeing benefits and resources including healthcare, attractive flexible working options, sports and social groups, virtual yoga and mindfulness sessions, a virtual wellbeing hub, mental health first aiders, and a busy social calendar. Benefits We offer a flexible working policy, with employees expected to be in the office two - three days per week. Initially, the successful candidate will need to work in the office full-time to facilitate their training and integration into the company. Competitive salary, dependant on experience. Birthday leave. Salary sacrifice pension scheme. One paid day off per year for charitable work. Health care packages. Discount vouchers. Company aways days. We are committed to providing a highly supportive, inclusive and stimulating workplace for all our people. Read more about how we're building a more equal, diverse and inclusive culture here

About Us At Oakland, we help businesses unlock the power of their data. Whether it's data strategy, governance, engineering, analytics, or AI, we work with our clients to turn data into real, impactful results. Our team is made up of friendly, hands on experts who love solving problems and making a difference. We don't just advise, we roll up our sleeves and get stuck in, working alongside our clients every step of the way. Founded in 1986 out of our Leeds HQ, we work with a diverse range of clients across all sorts of industries including Utilities, Telecommunications, Media, Financial Services, Public Sector, and many more! Our projects range from multi year data transformations to specific, shorter term assignments, so you'll have plenty of opportunities to diversify your skillset. We meet high standards for social and environmental impact, transparency, and accountability. We believe businesses should be a force for good, so we make sure our decisions don't just benefit the bottom line but also our people, communities, and the planet. And it's not just us saying we're a great place to work we were recently named a Top 5 Best Consultancy to work for in the UK through Best Companies! We're all about creating an environment where people can grow, do meaningful work, and enjoy the journey. In April 2025, Oakland was acquired by Softcat, a leading provider of IT infrastructure services to corporate and public sectors. By combining Oakland's deep expertise in data and AI consulting with Softcat's extensive portfolio and market presence, we can deliver unparalleled value and innovation to our clients. This partnership marks a significant milestone in our journey, and we're looking forward to achieving great things together. The Role: As a senior data engineer in this tech agnostic consultancy, you will develop broad and adaptable skillsets. You'll remain hands on while also providing technical leadership across projects, teams, and clients. You'll have the ability to quickly understand new technologies, evaluate their suitability, and guide teams toward pragmatic, scalable solutions. No two projects are the same, so we encourage our engineers to become technology polyglots and select the right tools for each client's needs. Alongside delivering high quality engineering outcomes, you'll play a key role in shaping technical direction, mentoring colleagues, contributing to solution architecture, and supporting client stakeholders through complex technical challenges. Our work spans data platform implementations, business intelligence, software engineering, AI solutions, and cloud transformation projects, giving you the opportunity to work across a wide range of technologies while being part of a talented community of 25+ engineers. We expect you to have: Strong proficiency with SQL, Python, and at least one additional programming language (e.g. C#, Java, JavaScript, TypeScript, C++). Significant experience designing, building, and supporting scalable engineering solutions. Experience working within cloud environments (Azure, AWS, or GCP). A strong understanding of engineering best practices, including testing, code quality, version control, and design patterns. Experience leading technical workstreams, owning technical decisions, and providing guidance to other engineers. The ability to work directly with clients to gather requirements, translate business needs into technical solutions, and communicate complex concepts to technical and non technical audiences. Experience in mentoring, coaching, and supporting the development of junior and mid level engineers. It would be nice to have any of the below: Experience designing and implementing modern data platforms using technologies such as Microsoft Fabric, Snowflake, Databricks, or similar. Experience with solution and/or data architecture. Front end software engineering experience, including building web applications with React (or similar frameworks). Strong DevOps and platform engineering experience, including Infrastructure as Code, CI/CD, observability, and tools such as Docker, Terraform, and Kubernetes. AI engineering and architecture experience, including GenAI, LLMs, RAG, agentic systems, and prompt engineering. Experience supporting pre sales activities, technical discovery workshops, estimations, and proposal creation. Certifications (Desirable): Azure certifications such as DP-700, DP-600, AZ-305, or AI focused certifications such as AI 900 and AI 103. Snowflake SnowPro Core or SnowPro Specialty or Advanced certifications. Equivalent certifications in cloud, data, AI, architecture, or software engineering technologies. Blended Working: We operate a blended working model, with colleagues spending at least two days per week in the office, aligned to project team requirements. Occasional travel to client sites may also be required. This balance helps us stay connected, learn from each other, and build strong relationships - both within our team and with the businesses we support. Benefits That Put You First: Health & Wellbeing - Enjoy private healthcare from day one for you and your household, including dental cover, physiotherapy, mental health support, and access to a range of wellbeing services to keep you feeling your best. Discretionary Bonus - Your hard work won't go unnoticed. When we do well, you'll do well. Generous Pension - We invest in your future with a 10% employer contribution, plus flexible options so you can adjust to your investment preferences. Giving Back - Support causes you care about with our payroll giving scheme and matched charitable giving program. Bike to Work Scheme - Save money, stay active, and enjoy tax savings on a new bike. Family Friendly Policies - We support all paths to parenthood with: Enhanced Maternity Pay - 16 weeks full pay, 10 weeks half pay. Enhanced Paternity Pay - 2 weeks full pay, 2 weeks half pay. Adoption, Surrogacy & Shared Parental Leave. Fertility Treatment Support - Because your family matters. Time to Recharge - 25 days annual leave plus bank holidays (and your allowance grows the longer you're with us!). Learning & Development - We invest in you with: Personalised development plans tailored to your goals. Full support for certifications. Access to The Oakland Academy for a suite of learning materials. An annual personal learning budget to upskill in ways that matter to you. Refer & Earn - Know someone great? If they join us, you'll get a referral bonus as a thank you. Diversity, Equity, Inclusion & Belonging at Oakland: At Oakland, we believe that diverse perspectives drive better outcomes - not just for our people, but our clients and our business. Our commitment to DEIB is not just about policies; it's about creating a workplace where everyone feels heard, valued, and empowered to thrive. We are building a truly inclusive Oakland where you can be yourself - no matter your background, gender, age, race, ethnicity, disability, sexual orientation, or any other characteristic that makes you, you. Fair & Inclusive Hiring: Every interviewer completes recruitment and unconscious bias training, and our hiring process is skills based and structured to ensure fairness and consistency for all candidates. Support Throughout the Interview Process: If you require any reasonable accommodations to make your interview experience more accessible, our Talent team is here to help - just let us know.

Senior Manager, AI & Data Solution Architect, UKI Location: London Other locations: Primary Location Only Date: 26 Mar 2026 Requisition ID: Job Specification About the Role We are seeking an experienced AI & Data Solution Architect to join our AI and Data consulting practice and lead the design and implementation of cutting edge data and AI solutions for our enterprise clients. This role requires a strategic thinker who can bridge business requirements with technical execution, delivering scalable, cloud native architectures that drive measurable business value. Design and architect end to end AI and data solutions on Azure, AWS or Google GCS leveraging modern data/AI platforms such as Snowflake and Databricks Develop comprehensive architecture blueprints covering data pipelines, analytics, and AI/ML capabilities Define data and AI governance frameworks, security protocols, and compliance standards aligned with industry regulations Lead technical discovery sessions with clients to understand business challenges and translate them into architectural requirements Serve as a trusted technical advisor to senior IT and/or business stakeholders across consumer products, retail, health, life sciences, or energy industries Present complex technical concepts and solution roadmaps to both technical and non technical audiences Lead architecture review boards and provide technical governance throughout project lifecycles Oversee the implementation of data lakes, data warehouses, and lakehouse architectures Ensure solutions are optimized for performance, cost efficiency, and scalability Define integration patterns between cloud platforms, third party applications, and legacy systems Actively contribute to practice development as a technical thought leader in AI and Data topics Understand building and integrating Agentic AI solutions into existing cloud platforms Mentor junior architects and technical teams on best practices and emerging technologies Essential Qualifications STEM degree or an equivalent certification in Computer Science, Data Science, Engineering, or related field One or more advanced level AI and Data architecture certifications in Snowflake, Databricks, Microsoft Azure, AWS or GCP Proven track record of architecting enterprise scale data, analytics or ML solutions for organisations in at least one of the following sectors: consumer products, retail, health, energy or life sciences Able to lead design for end to end AI and data solutions across multiple cloud platforms Able to define governance frameworks, security protocols and compliance standards Operates as a trusted advisor to IT and senior stakeholders Deep expertise in at least one of the following data and AI services: Microsoft Azure, AWS or Google GCP Hands on experience with Microsoft Fabric, Snowflake and/or Databricks TOGAF experience Soft Skills Continuous learning mindset to stay current with emerging trends in AI, machine learning, data engineering and cloud technologies Exceptional communication and presentation skills with ability to influence senior stakeholders Strong analytical and problem solving capabilities Ability to manage multiple client engagements simultaneously Collaborative mindset with experience working in cross functional teams Coaching mindset to support the development of junior team members Preferred Criteria Understanding of AI Architecture front end, UI/UX, and how AI is consumed Experience preparing technical solutions and architectures as part of bid responses and proposals Experience identifying efficiency opportunities such as solution accelerators, reusable frameworks, and IP development, Agentic automation Deep understanding of industry specific data challenges in Lifesciences, Health, Consumer Products, Retail or Energy Experience with domain specific use cases such as commercial, supply chain, finance or operations

Data & AI Consultant - Senior Consultant to Manager - Belfast Belfast, United Kingdom About Us We are Grant Thornton. Grant Thornton Ireland is rapidly approaching 3,000 people, with offices across Ireland, Isle of Man, Gibraltar and Bermuda. We bring local knowledge, national expertise and global presence to help our clients succeed. About the Team We value diversity, equity and inclusion and foster an environment where all voices are heard. Our team focuses on building relationships and empowering clients to make the right decisions. Job Description & Summary We are hiring Data & AI Consultants into our Technology Consulting practice. You will deliver client facing engagements across analytics, BI, data engineering, governance, AI and workflow automation, in sectors such as financial services, public sector, healthcare and life sciences. The role is hybrid. Role Tracks Data Analytics, BI and Reporting Data Engineering and Analytics Engineering Data Science, AI and Advanced Analytics Data Governance, Data Quality and Data Management Automation and AI enabled Workflow Responsibilities vary by track and grade but typically include: Working with clients to understand business problems and translate them into data, analytics, BI, engineering, governance or automation outputs. Building dashboards, data pipelines, models, governance artefacts or automation solutions, depending on track. Profiling, validating and improving the quality of client data. Preparing client ready deliverables, documentation and handover materials. Running client workshops and working sessions. Managing assigned tasks or workstreams and flagging risks and issues. Additional expectations at Assistant Manager and Manager Lead small teams or workstreams and review junior outputs. (Manager) Contribute to proposals, propositions, reusable assets and the development of new Data & AI work. Education and Certifications Degree or equivalent experience in a relevant discipline such as Data Science, Computer Science, Engineering, Information Systems, Mathematics, Statistics, Economics, Business Analytics or a related field. Proficiency in at least one programming language (e.g., SQL, Python, R). Core experience and skills 2-8 years in data, analytics, BI, engineering, data science, AI, automation or governance. Proficiency in SQL and at least one of Python, R, DAX or Power Query. Strong analytical and problem solving skills with messy or incomplete data. Ability to translate business requirements into clear data or technical outputs. Strong written and verbal communication, including explaining technical content to non technical audiences. Interest in client facing consulting. Sector experience in financial services, public sector, healthcare or life sciences is useful but not required. Data Analytics, BI and Reporting Building dashboards and reporting using Power BI, Tableau, Qlik or similar. Defining KPIs and reporting requirements with business stakeholders. Power BI semantic modelling using DAX and Power Query. Analysing data to identify trends, risks and recommendations. Data Engineering and Analytics Engineering Building data pipelines and ETL / ELT workflows. Working with at least one cloud data platform (e.g., Azure, Microsoft Fabric, Databricks, Snowflake). Designing data models for reporting, analytics or reconciliation. Implementing data quality checks and technical documentation; exposure to version control and CI/CD is useful. Data Science, AI and Advanced Analytics Applying statistical, predictive or machine learning techniques to business problems using Python or R. Experience across forecasting, classification, optimisation, NLP or GenAI enabled analysis. Translating model outputs into business recommendations. Awareness of model performance, explainability and responsible AI. Data Governance, Data Quality and Data Management Profiling, cleansing, validating and remediating data. Defining data quality rules, dictionaries, metadata and lineage. Supporting data ownership and stewardship models. Contributing to data migration, regulatory reporting or remediation projects. Automation and AI enabled Workflow Identifying opportunities to automate reporting, reconciliation or operational processes. Building solutions using Power Automate, Power Apps, UiPath, Python or VBA. Mapping current and future state processes with business users. Supporting AI enabled use cases such as document processing, extraction, classification or triage. Job Info Job Identification 115210 Job Category - Posting Date 06/30/2026, 01:54 PM Degree Level Bachelor's Degree Job Schedule Full time Locations 12-15 Donegall Square West, Belfast, BT1 1BG, GB

ABOUT SCALE FACTORY We are an AI enablement consultancy. Delivering quality-led AI-first foundations, embedding capability and excellence into the foundational fabric of the companies we work with. We give leaders the confidence to move faster, take smarter risks and pursue transformation. In 2024, Ten10 and The Scale Factory joined forces to create the Scale Factory we know today. By uniting our deep cloud expertise, AI ambitions, and rigorous engineering disciplines, we deliver the robust, scalable foundations needed to turn ambitious transformation into reliable reality. Here's why you'll love being part of our team: Exciting Projects: Collaborate on challenging, impactful projects with a wide range of industries - from finance to government and beyond. Career Growth: Tailored training and development opportunities to help you reach your goals. Team Culture: Join a supportive, inclusive team that values collaboration, creativity, and innovation. Flexibility: Hybrid working lets you balance work and life. KEY RESPONSIBILITIES As a Principal Cloud Consultant at Scale Factory, you'll: Interact with customers regularly, acting as the go-to technical contact for those in your engagement portfolio. Own delivery management for a number of workstreams, helping to define and prioritise work, manage risks and provide guidance to junior colleagues. Perform in-depth discovery activities with clients, translating non-technical business requirements into technical solutions. Assist the Growth Team in a pre-sales capacity, providing technical input right from the start. Act as a technical authority for both delivery workstreams and the internal initiatives. Communicate effectively, both internally and externally with colleagues, clients and third parties to drive growth. Stay ahead of the curve by keeping up with emerging trends and certifications. Solving complex challenges with ingenuity and innovation. Drive continuous improvement both within your workstreams and across the wider delivery function. WHAT WE'RE LOOKING FOR We're seeking a talented, passionate Principal Cloud Consultant to join our growing team. To be successful, you'll be both technically excellent and a confident communicator, willing to own all aspects of a project from pre-sales, into discovery, design and implementation, as well as the delivery management thereof. KEY SKILLS & EXPERIENCE: Eligibility for Security Clearance. Excellent Communication: Ability to communicate effectively with a range of stakeholders from C-suite down, both off the cuff and in more formal presentations or report writing. Business Savvy: Able to look behind the technical problems and understand the business drivers to change, prioritising accordingly and building consensus. A proven track record of spearheading successful projects, aligning multiple workstreams and managing client relationships. DevOps Mastery: Deep understanding of DevOps principles and how they transform businesses. People Leadership: Experience managing people and mentoring less experienced colleagues. AWS Expertise: Extensive hands on experience with AWS and ability to articulate best practices for building secure, scalable platforms. Able to articulate the business value and ROI of cloud platforms. Architectural Know-How: Ability to design and implement complex cloud platforms incorporating legacy workloads, microservices and containerisation. CI/CD Pro: Proven experience with tools like GitHub, GitLab, or AWS DevOps Tooling, and expertise in deployment automation/orchestration. Networking Knowledge: Expert with networking concepts and how they translate to cloud environments: Virtual Networks, routing, DNS, Gateways, Load Balancers and more. Security Expert: Understanding of key AWS security services such as IAM, WAF, and KMS. Experience implementing best practices for securing data, ensuring compliance with industry standards and regulations. Awareness of compliance frameworks (e.g., ISO27001, PCI-DSS). Infrastructure-as-Code: Mastery of Terraform, CloudFormation, CDK or equivalent, and awareness of when to use different tools. Scripting & Automation: Skills in a scripting language like Python, Ansible, Bash, Groovy, Powershell, or similar. DESIRABLE SKILLS: Azure or Google Cloud Experience: Ability to compare and contrast cloud offerings, especially in a migration scenario. AWS Professional Certification: If you don't already have one, you'll be given time to attain this in your first 3 months. WHAT'S IN IT FOR YOU? At Scale Factory, we believe in recognising and rewarding great work. Here's what you can expect: 25 Days of Annual Leave: Plus 1 extra day every year for the first three years, with a holiday buying scheme. Pension Plan: Employer-matched contributions up to 5%. Health Benefits: Comprehensive coverage for medical, dental, optical, and alternative therapies. Fitness Support: Subsidised gym memberships and a bike to work scheme. Commuter Benefits: Season ticket loans to make travel easier. Free Annual Rail Cards. Electric vehicle salary sacrifice scheme. Flexible Work Model: Hybrid working that fits your lifestyle. Social Events: From annual kick offs and Christmas parties to team socials and sporting events, we love celebrating success together. Training & Development: Tailored learning opportunities and full support for certifications to keep your skills sharp. Let's Build the Future Together We're on the lookout for passionate, talented individuals who are ready to make an impact. If this sounds like you, apply today!

Sword is a leading provider of business technology solutions within the Energy, Public and Finance Sectors, dedicated to driving transformational change for our clients. We leverage proven technology, specialist teams, and extensive domain expertise to create robust technical foundations across platforms, data, and business applications. Our mission is fueled by a passion for technology as a means to solve complex business problems and achieve our clients' objectives. About the role This Data Engineer role offers an excellent opportunity for someone with a good understanding and working knowledge of designing and building robust data pipelines, integrating complex data sources, and developing solutions using Azure Data Services, Microsoft Fabric, Power BI, and Purview. As an experienced Data Engineer, you will handle more advanced engineering tasks, drive improvements to existing pipelines, and contribute to the design of scalable, high quality data architectures. You'll collaborate directly with clients and cross-functional teams, translating real business needs into effective data solutions while beginning to support and mentor junior engineers. This role is ideal for someone who wants to grow toward senior level responsibilities, gain exposure to architectural thinking, and work with cutting edge technologies, including Microsoft Foundry as part of emerging AI driven capabilities. Candidates should apply if they're looking for a role that blends hands on engineering, problem solving, continuous learning, and meaningful contribution to client outcomes within a high performing Data & AI business unit. Responsibilities Design, build, and maintain scalable, secure, and high performing data pipelines using Azure Data Factory, Synapse, Fabric Pipelines, or Databricks Integrate data from multiple systems into Azure Data Lake Storage or OneLake, ensuring consistency, reliability, and performance Develop and maintain ELT/ETL processes using Azure-native tools and Fabric capabilities, optimising for cost and performance Build and maintain Microsoft Fabric artefacts including lakehouses, warehouses, notebooks, dataflows, and semantic models Perform advanced data transformations using SQL, Python, Spark, or Fabric Data Engineering experiences to prepare data for analytics and reporting Manage and optimise data models used by Power BI, ensuring good performance, relationships, quality, and reusability Support enterprise BI development by preparing datasets, semantic models, and reusable components within Power BI and Fabric Apply data governance and security best practices by implementing Purview classification, lineage, access controls, and policies Conduct data quality checks, data validation routines, and issue resolution to ensure trustworthy and reliable datasets Work closely with cross-functional teams (data architects, analysts, data scientists, product teams) to understand requirements and translate them into robust data solutions Engage directly with clients and stakeholders to clarify data needs, communicate progress, and explain technical concepts in a clear, accessible way Take ownership of more complex engineering tasks and assist senior engineers with solution components requiring deeper technical insight Mentor junior engineers by providing guidance, performing code reviews, and sharing best practices in engineering standards and Azure environments Contribute to CI/CD processes, version control practices, and automated deployment pipelines for data solutions Support the creation of documentation for pipelines, datasets, data models, and solution designs Troubleshoot pipeline failures, performance issues, and data inconsistencies, ensuring the stability and reliability of production workloads Stay current with emerging tools and capabilities across Azure, Microsoft Fabric, Power BI, Purview, and Microsoft Foundry Identify opportunities to improve efficiency, automation, scalability, or maintainability across existing pipelines and solutions Contribute to internal knowledge sharing, best practice development, and engineering accelerators or templates Qualifications Deep understanding of Azure Data Factory, Synapse, Fabric, Power BI and Databricks Experience in Fabric/data architecture Experience in Fabric/data migrations Understanding of the requirements of stringent data governance Ability to consult with clients Proven experience of mentoring teams Experience of advanced data transformations using SQL, Python, Spark, or Fabric Data Engineering experiences to prepare data for analytics and reporting Benefits Personalised Career Development: We create a development plan customised to your goals and aspirations, with a range of learning and development opportunities within a culture that encourages growth. Flexible working: Flexible work arrangements to support your work life balance. We can't promise to always be able to meet every request, however, are keen to discuss your individual preferences to make it work where we can. A Fantastic Benefits Package: This includes generous annual leave allowance, enhanced family friendly benefits, pension scheme, access to private health, well being, and insurance schemes. EEO and Accessibility At Sword we are dedicated to fostering a diverse and inclusive workplace and are proud to be an equal opportunities employer, ensuring that all applicants receive fair and equal consideration for employment, regardless of whether they meet every requirement. If you don't tick all the boxes but feel you have some of the relevant skills and experience we're looking for, please do consider applying and highlight your transferable skills and experience. We embrace diversity in all its forms, valuing individuals regardless of age, disability, gender identity or reassignment, marital or civil partner status, pregnancy or maternity status, race, colour, nationality, ethnic or national origin, religion or belief, sex, or sexual orientation. Your perspective and potential are important to us. If we can do anything to help make the hiring process more accessible, please let our talent acquisition team know when you apply so we can support any adjustments.

Sword Group is seeking a Data Engineer to develop scalable data pipelines and solutions using Azure Data Services including Power BI and Fabric. This role involves transforming complex data sources into effective solutions and mentoring junior engineers. The ideal candidate will have a strong understanding of data governance, data transformation techniques, and experience with client consultations. Benefits include a flexible working environment and a personalized career development plan.

About The Role Job level: 10 We're looking for a Lead Data Engineer to join our Data Engineering and Analytics practice. In this role, you will: Lead the design, development, management and optimisation of data pipelines to ensure efficient data flows, recognising and sharing opportunities to reuse data flows where possible. Coordinate teams and set best practices and standards when it comes to data engineering principles. Champion data engineering across projects and clients. Responsibilities Lead by example, holding responsibilities for team culture, and how projects deliver the most impact and value to our clients. Be accountable for the strategic direction, delivery and growth of our work. Lead teams, strands of work and outcomes, owning commercial responsibilities. Hold and manage uncertainty and ambiguity on behalf of clients and our teams. Ensure teams and projects are inclusive through how you lead and manage others. Effectively own and hold the story of our work, ensuring we measure progress against client goals and our DT missions. Work with our teams to influence and own how we deliver more value to clients, working with time and budget constraints. Strategically plan the overall project and apply methods and approaches. Demonstrably share work with wider audiences. Elevate ideas through how you write, speak and present. Dimensions Headcount: Typically leads a multidisciplinary team or multiple workstreams (team size 5-15) Resource complexity: Provides leadership across multiple workstreams or technical domains within a project or programme. Responsible for delivery coordination, prioritisation, and quality, often overseeing more junior leads or specialists. Problem solving responsibility: Solves highly complex problems, balancing technical, user, business, and operational needs. Applies expert judgement to make decisions, manage risks, and guide teams through ambiguity. Change management requirements: Leads or co leads significant change initiatives. Responsible for managing stakeholder expectations, supporting adoption, and embedding sustainable ways of working. Internal/External interactions: Acts as a trusted partner to client and internal stakeholders at multiple levels. Leads workshops, presentations, and stakeholder engagement to ensure buy in, alignment, and delivery clarity. Strategic timeframe working towards: Works across mid to long term delivery cycles (6-12 months), ensuring that near term work supports broader programme and client objectives. About You Professional knowledge and experience Essential Proven experience in data engineering, data integration and data modelling Expertise with cloud platforms (e.g. AWS, Azure, GCP) Expertise with modern cloud data platforms (e.g. Microsoft Fabric, Databricks) Expertise with multiple data analytics tools (e.g. Power BI) Deep understanding of data wareho using concepts, ETL/ELT pipelines and dimensional modelling Proficiency in advanced programming languages (Python/PySpark, SQL) Experience in data pipeline orchestration (e.g. Airflow, Data Factory) Familiarity with DevOps and CI/CD practices (Git, Azure DevOps etc) Ability to communicate technical concepts to both technical and non technical audiences Proven experience in delivery of complex projects in a fast paced environment with tight deadlines Desirable Advanced knowledge of data governance, data standards and best practices. Experience in a consultancy environment, demonstrating flexibility and adaptability to client needs. Experience defining and enforcing data engineering standards, patterns, and reusable frameworks Professional certifications in relevant technologies (e.g. Microsoft Azure Data Engineer, AWS Data Analytics, Databricks Certified Professional Data Engineer) Skills Data Development Process Design, build and test data products that are complex or large scale Build and lead teams to complete data integration services integration and reusable pipelines that meet performance, quality and scalability standards Collaborate with architects to align solutions with enterprise data strategy and target architectures Data Engineering and Manipulation Work with data analysts, engineers and data science and AI specialists to design and deliver products into the organisation effectively. Understand the reasons for cleansing and preparing data before including it in data products and can put reusable processes and checks in place. Access and use a range of architectures (including cloud and on premise) and data manipulation and transformation tools deployed within the organisation. Optimise data pipelines and queries for performance and cost efficiency in distributed environments Testing (Data) Review requirements and specifications, and define system integration testing conditions for complex data products and support others to do the same Identify and manage issues and risks associated with complex data products and support others to do the same Analyse and report system test activities and results for complex data products and support others to do the same Other Skills Proficiency in developing and maintaining complex data models (conceptual, logical and physical). Strong skills in data governance and metadata management. Experience with data integration design and implementation. Ability to write efficient, maintainable code for large scale data systems. Experience with CI/CD pipelines, version control, and infrastructure-as-code (e.g. Git, Azure DevOps). Strong stakeholder communication skills, with the ability to translate technical concepts into business terms. Ability to mentor junior engineers, foster collaboration, and build a high performing data engineering culture. Behaviours and PACT values Purpose: Be values driven, recognising that our client's needs are paramount. Approach client engagements with professionalism and creativity, balancing commercial and operational needs. Accountability: Be accountable for delivering your part of a project on time and under budget and working well with other leaders. Lead by example, promoting a culture where quality and client experience are foremost. Craft: Balance multiple priorities while leading high performing teams. Navigate ambiguity and set the technical direction and approach to support positive outcomes. Togetherness: Collaborate effectively with others across TPXimpact. Build strong relationships with colleagues and clients. Benefits Include: 30 days holiday + bank holidays 2 volunteer days for causes that you are passionate about Maternity/paternity - 6 months Maternity Leave, 3 months Paternity Leave Life assurance Employer pension contribution of 5% Health cash plan Personal learning and development budget Employee Assistance Programme Green incentive programmes including Electric Vehicle Leasing and the Cycle to Work Scheme Health assessments

Shape the Future of AI at Forge Holiday Group At Forge Holiday Group, we don't just do holidays, we create memories. With market-leading brands like Sykes Holiday Cottages, Forest Holidays, and Bachcare in New Zealand, we're 1,700+ strong and powered by four values: One Business One Team, Keep it Simple, Grow & Learn, Sustainable Impact. Why This Role Stands Out Innovation: Work hands on with cutting edge AI/ML tools and techniques to deliver real business impact. Leadership: Mentor and collaborate with talented engineers, data scientists, and product teams. Culture: People first, values driven, creativity & integrity at the core. Impact: Shape AI driven solutions that directly improve customer experience and business decisions. About the Role As a Senior AI/ML Engineer, you'll play a pivotal role in designing, building, and deploying scalable AI and machine learning solutions across Forge Holiday Group. From data pipelines to machine learning models, your work will power customer interactions, internal insights, and commercial decision making. You'll Own Build and maintain end to end AI/ML pipelines in Microsoft Fabric. Design, train, deploy and monitor machine learning and deep learning models. Implement MLOps best practices: versioned data & features, CI/CD pipelines, model promotion, and rollback. Collaborate with data scientists, analytics engineers, product managers, and developers to turn business problems into AI solutions. Uphold data quality, governance, security, and responsible AI practices. Evaluate and adopt new tools and technologies to enhance our AI/ML platform. Mentor junior colleagues and foster a culture of innovation and knowledge sharing. What You Need To Know Salary: Up to £80,000 per annum. Team: Work with cross functional teams and mentor junior engineers. Tools: Microsoft Fabric, Azure ML, MLflow, Spark, Python, SQL, CI/CD, and ML frameworks like TensorFlow, PyTorch, Scikit learn. Scope: End to end AI/ML solutions for multi product, multi region strategy. Report To: Head of Data Science / CTO. Location: Chester HQ, Hybrid working. Working Pattern: 37.5 hours, Monday to Friday, 9am to 5:30pm. What We're Looking For Essential Strong experience designing, building and maintaining scalable data pipelines and architectures for AI/ML. Familiarity with Microsoft Fabric (Data Engineering, Data Science, Real Time Analytics) and Azure ML, including MLflow. Proficiency with tools such as Apache Spark, Azure Data Factory, GIT, Python and SQL. Skilled in developing, training and deploying machine learning models with frameworks like TensorFlow, PyTorch or Scikit learn. Strong understanding of data modelling, data governance, security and responsible AI practices. Excellent problem solving skills and the ability to explain technical concepts to varied audiences. Ability to manage priorities and deliver results in a fast paced environment. Desirable Experience with generative AI, large language models (e.g. LangChain, vector databases) and retrieval augmented generation. Knowledge of AutoML, hyperparameter tuning and advanced MLflow features. Experience with streaming and real time data platforms. Familiarity with CI/CD, MLOps and deployment pipelines (Azure DevOps, GitHub Actions, Docker). Commercial awareness in e commerce, travel or holiday lettings sectors. Experience mentoring others or leading technical workstreams. About You Curious, innovative and passionate about data and AI. A team player who values collaboration and honest communication. Able to take ownership, work independently and deliver on commitments. Supportive and approachable, with a willingness to share knowledge. Committed to building ethical AI solutions that respect privacy, security and sustainability. Forge Holiday Group Benefits Annual STIP Company wide Bonus Scheme offering up to an additional 10% of your salary through our performance based bonus program. 33 days' holiday (including bank holidays), plus up to 5 extra with long service. Option to purchase extra holiday days if you wish. A day off for your birthday. 2 volunteering days per year. Enhanced parental leave (24 weeks maternity, 3 weeks paternity at full pay). Pension scheme with employer contributions. Discounted and last minute stays at Forest Holidays and Sykes Cottages for you, your friends & family. Special offers and discounts designed to enhance your overall wellbeing. Health cash plan & life assurance. Training & development opportunities. 24/7 mental health support. On site gym and parking at Chester HQ (near train station). Employee savings scheme. Long service awards and company events. We're committed to diversity and inclusion and encourage you to bring your authentic self. Need adjustments for recruitment? Just ask. Ready to build intelligent AI solutions that drive real impact? Apply now or share with someone exceptional. Forge Holiday Group Ltd Senior (5+ years of experience)

Who you'll be joining We're problem solvers at heart. Sometimes the answer is technology, sometimes it is strategy, and sometimes it is a strong cup of tea and a bit of thoughtful conversation. Whatever it takes, we work it out with our clients. We're an IT consultancy that helps organisations get the best out of their technology. That means keeping them secure and keeping the bad guys out, making sure everything works and is easy to use, and doing smart things with data and software to give their business an edge. It is important work, and we care about doing it well and for the right reasons. Life at Waterstons is friendly, flexible and built on trust. We hire people who are curious, thoughtful and good at getting to the heart of a problem. You get support, trust and room to grow in a place that still feels human. The unlimited holidays and private healthcare are a nice touch, although most people stay because it feels like the right place to do good work with good people. What You'll Be Doing You'll be working with our customers to understand their needs, then using tools like Databricks, Fabric and Power BI solutions to meet those requirements. You'll be working with junior colleagues as a manager and mentor, helping them to grow in line with Waterstons' values. Your Day-to-Day Working in Fabric or Databricks to build out the medallion architecture Helping junior members of the team troubleshoot problems Having 1:1s with your team Attending calls with clients to understand their requirements and help solve problems What we're looking for If some (or most) of the following sound like you, we'd love to hear from you: More than 3 years experience working in Analytics Engineering Experience of leading projects and setting scope, budget and timeframes Leading others, either through line management or through technical leadership and mentorship Holds or has held relevant Microsoft Certifications Proficient in SQL and DAX Knowledge of modern data architectures Experience of working with Power BI and Fabric Experience with Dimensional Modelling Good time management, prioritisation and an ability to manage workload Excellent at building relationships with clients and colleagues, with a desire to help others grow via mentoring of junior colleagues Comfortable working as part of a team Curious about our clients, their businesses and how they work; with a willingness and ability to travel to client sites Nice to have Experience of working in a consultancy environment Experience of working in one of our core sectors; including but not limited to Higher Education, Social Housing, Manufacturing, Energy, AEC, Private Equity or Transport and Logistics Holds relevant Databricks certifications Experience of working with Databricks, Azure, AWS and DevOps How We Take Care of You As well as offering a competitive salary, we have an attractive benefits package including: A healthy work life balance with flexible and agile working being the norm Unlimited holiday allowance EV car scheme (salary sacrifice) Room to grow with supported development opportunities and sponsored training Enhanced family policies If you ever need it, company sick pay and life assurance Supported wellbeing with regular initiatives, an employee assistance programme and private medical insurance Flexible benefits such as a dental scheme, eye care support, season ticket loan and cycle to work We require a security check to be carried out on all colleagues due to the nature of some of our clients' industries. Waterstons is committed to creating and an inclusive, understanding, and flexible place to work. We value diversity, equality and inclusion and encourage everyone to 'bring their whole selves' to work. We believe that a company that works to truly embrace and value diversity, create an environment where everyone from any background can do their best work, and feel valued and appreciated is a better company to work for. Privacy Statement Waterstons are gathering the data in this application for the purpose of recruitment and to ensure we can contact you regarding this application. For information about what we do with your personal data see our Privacy Notice.

We're looking for a talented Cloud Solutions Architect to join our Azure Team at Infinigate, playing a pivotal role in designing and delivering cutting edge Azure Data Services and Microsoft Fabric solutions. Acting as a technical expert and trusted advisor, you'll work at the intersection of pre sales and delivery-partnering closely with sales teams, customers, and stakeholders to architect innovative, scalable solutions that maximise the value of cloud investments. From shaping high level designs and guiding customers on their Azure journeys, through to hands on implementation and service innovation, this is a highly visible role where you'll influence both customer success and the evolution of our professional services portfolio, all while contributing to a culture of knowledge sharing, continuous improvement, and technical excellence. We are pleased to offer this position as a hybrid role, based 3 days per week at our Fareham office and optional, 2 days from home. Duties & Responsibilities Technical Pre Sales Responsible for proactively assisting with recommendations and delivery of Infinigate's solutions to its customers maximising customer satisfaction and revenue growth. When assigned, engage with the sales organisation including technical pre sales activity to assist, promote and recommend the correct solutions for customers where necessary. Support the Infinigate new business bid process and where necessary work as part of the implementation team ensuring project process and delivery is implemented accordingly. Responsible for the post sale activity where solution design and production of the final Statement of Work for the partner or customer is required, to ensure a fully scoped project is agreed and executed upon. Technical Delivery Produce own Statement of Work for identified engagements for peer review and all relevant agreed documentation in the post sale process when assigned, to ensure a project is scoped, agreed and executed upon. Data Solution Delivery: Design, build, and optimize data pipelines using Microsoft Fabric and Azure services like Synapse or Databricks. Ensure solutions are scalable and efficient for data ingestion, storage, and transformation across OneLake and other data stores. Microsoft Fabric Implementation: Implement end to end Azure Data Fabric solutions including Lakehouses, Data Warehouses, and Real Time Analytics components. Data Modeling & Quality: Develop and maintain data models and curated datasets that meet business requirements. Implement data validation, quality checks, and monitoring for pipeline reliability, troubleshooting issues and optimizing performance to meet SLAs. To be involved in the delivery of technical deployments, deliver assigned tasks within customer projects on time and within budget to agreed standards. Service Design For assigned products and services assist with the design, creation and maintenance of the set up and professional services within the portfolio. Other Responsible for adhering to and promoting best practice within the team, mentoring and training junior members of staff where necessary to help with the development, breadth and scale of the department. Keep up to date with best practice in the key service solutions. Suggest and recommend changes to the business and processes to improve the performance of Professional and Managed Services within Infinigate. Maintain high quality in delivery and sponsor continuous improvement. Own, maintain and adhere to all elements of the relevant Company's ISO standards. General Skills Strong coordination and planning skills Excellent technical and computing capabilities Quick to learn and apply new skills in business contexts Strong interpersonal, communication, negotiation, and presentation skills Experience with Microsoft based solutions At least three current Microsoft Associate level certifications Minimum 3 years' hands on experience in data engineering, BI, or analytics (Azure focused consulting) Strong knowledge of core Microsoft technologies, especially Office 365 Proven experience in technical sales or pre sales of Microsoft/cloud solutions Level 200 (or equivalent) knowledge across Microsoft cloud technologies (M365, Dynamics, EMS) Proven delivery of data warehousing or big data projects in client facing roles Exposure to ISO27001, ISO9001/QMS, and ITIL/ISO20000 environments Azure Data Engineer Associate (DP-203) - strongly preferred Fabric Analytics/Data Engineer Associate (DP-600) - highly desirable Power BI Data Analyst Associate (PL-300) - beneficial for BI integration Additional Azure/Data Platform certifications (e.g. Solutions Architect, AI) or Fabric credentials Experience mentoring junior team members Personal requirements Infinigate's values underpin a strong collaborative working culture and successful inclusive working environment. Own it! Actively utilises company knowledge to meet individual targets and objectives Aim high! Self starter: willing to change self and encourage change to improve service, processes and customer experience Be open! Remains calm and self controlled under pressure. Reacts well to change and stays positive despite setbacks. Keeps difficulties in perspective. £75,000 - £80,000 salary per annum + Variable Commission 25 days annual leave rising to 28 days with length of service, plus bank holidays. Day off on your birthday. Electric Car Lease Scheme Life assurance of 4 x basic salary and group income protection from start date 5% employer matched pension contributions after 3 months service. Individual cover for private medical insurance and healthcare cash plan following successful completion of probationary period. Hybrid working arrangements and standard office working hours are 9am - 5.30pm Employee assistance programme for practical and emotional support. Free parking and complimentary refreshments onsite. Infinigate Group are committed to creating a diverse and inclusive workplace where differences are not only accepted but also valued and appreciated. If any reasonable adjustments would support you through the recruitment process, please make us aware by answering the relevant application questions. For any further queries, please contact us at

Lead Data Scientist (Classical ML, LLMs & AI Agents) Permanent contract UK Wide (London, Edinburgh, Manchester, Leeds, Birmingham) Talan Data x AI is a leading Data Management and Analytics consultancy, working closely with leading software vendors and top industry experts across a range of sectors, unlocking value and insight from their data. At Talan Data x AI, innovation is at the heart of our client offerings, and we help companies to further improve their efficiency with modern processes and technologies, such as Machine Learning (ML) and Artificial Intelligence (AI). Job Description We are hiring a Lead Data Scientist to drive the technical delivery of our most demanding AI engagements and to lead a growing team of data scientists and AI engineers. This role is for a practitioner who is equally fluent in the rigour of traditional data science (statistical modelling, machine learning, experimentation) and the fast-moving world of large language models and agentic AI. You understand that the best solutions often combine both. You will own delivery from problem framing through to deployment, ensuring the work is technically sound, commercially valuable, and aligned to the architectural vision. As a lead, you will mentor the team, raise engineering and modelling standards, and act as a trusted technical partner in client conversations. You will help clients see not just what is possible, but what is practical and worth doing. This is a delivery-focused leadership role with genuine breadth: one week you might be tuning a forecasting model, the next designing an agentic workflow or evaluating an LLM pipeline for a client pilot. Required skills & experience: Lead end-to-end delivery of data science and AI projects, owning technical quality and outcomes. Combine classical ML (regression, classification, forecasting, optimisation) with modern GenAI, LLM, and agent-based approaches as the problem demands. Mentor and develop data scientists, AI engineers, and junior consultants, growing the team's capability. Translate business problems into well-scoped analytical and AI solutions and communicate results to non-technical stakeholders. Ensure best practice across the AI lifecycle - experimentation, evaluation, testing, deployment, and monitoring. Act as the bridge between architecture and delivery, ensuring implementation stays faithful to design. Support pre-sales and client discussions with credible technical input and realistic estimation. Champion reproducibility, model governance, and responsible practice in everyday delivery. Qualifications To qualify for this role, you must have: Minimum 5 years in data science or AI delivery, including hands on leadership of technical teams or workstreams. Strong foundations in machine learning and statistics, with demonstrable production experience. Practical experience with LLMs and generative AI - prompting, RAG, fine tuning, and evaluation. Exposure to AI agents and orchestration frameworks, and an appetite to deepen it. Proficiency in Python and the modern data / ML stack; sound data engineering instincts. Excellent communication and stakeholder skills, ideally in client facing or consulting settings. Ideally, you'll also have, but not essential: Familiarity with the Azure AI ecosystem (Azure ML, Azure OpenAI, Databricks / Fabric). Experience supporting business development or pre-sales. Domain depth in a regulated or data rich industry. Contributions to open source, publications, or a visible professional profile. You must be: Willing to work on client sites, potentially for extended periods. Willing to travel for work purposes and be happy to stay away from home for extended periods. Eligible to work in the UK without restriction. Additional Information Compensation & Benefits Package: BDP Plus - A reward programme whereby you accrue points to trade against a 3 month paid sabbatical or cash equivalent. 25 days holiday + bank holidays. 5 days holiday buy/sell option. Private medical insurance. Life cover. Cycle to work scheme. Eligibility for company pension scheme (5% employer contribution, salary sacrifice option). Employee assistance programme. Bespoke online learning via Udemy for Business. You will lead substantive, end-to-end AI work in a practice that is scaling fast and backing its people to grow with it. You will shape how a team works, influence how clients adopt AI, and keep your own skills at the frontier, bridging proven data science with the most current GenAI and agentic techniques. It is an opportunity to lead, deliver, and keep building.

Sword is a leading provider of business technology solutions within the Energy, Public and Finance Sectors, dedicated to driving transformational change for our clients. We leverage proven technology, specialist teams, and extensive domain expertise to create robust technical foundations across platforms, data, and business applications. Our mission is fueled by a passion for technology as a means to solve complex business problems and achieve our clients' objectives. About the Role: This is a senior, client-facing role with responsibility for shaping, designing, and delivering modern data and AI solutions across a range of client engagements. You will operate across the full lifecycle, from early discovery and requirement gathering through architecture design, hands on delivery, and ongoing optimisation, using Microsoft Azure, Fabric, Power BI, and AI capabilities. As a trusted consultant, you will work closely with business and technical stakeholders, influence data and analytics strategy, and help clients realise tangible value from their data investments. The role also includes contributing to pre sales activities, supporting proposals and solution design, mentoring junior team members, and helping to grow our data and AI consultancy capability. Areas of responsibility: Design and deliver end to end data & analytics solutions using Azure, Microsoft Fabric, and Power BI, but not limited to this technology stack Act as a trusted advisor, translating business requirements into scalable, secure data architectures Lead data engineering and architecture across ingestion, storage, transformation, and analytics layers Build and optimise Power BI reports and semantic models for actionable insights Integrate Azure AI/ML capabilities into solutions, including predictive analytics, large language models, and automation workflows Drive pre sales and client engagements, including solution shaping, proposals, and presentations Ensure solutions meet data governance, security, and compliance standards Stay up to date with AI innovations, advising clients on adoption and improvements Strong hands on experience with Microsoft Azure data services (e.g. Azure Data Factory, Azure Synapse, Azure Data Lake, Azure SQL) Proven experience designing and delivering solutions using Microsoft Fabric, including Lakehouse, Warehousing, Data Engineering, and Real Time Analytics Advanced skills in Power BI, including semantic modelling (DAX), performance optimisation, and enterprise scale deployments Solid background in data architecture, including data modelling, integration patterns, and modern analytics architectures Experience building and optimising data pipelines using SQL, Python, and/or Spark Knowledge of AI and advanced analytics on Azure, including Azure Machine Learning, Cognitive Services, or Fabric AI capabilities Experience integrating AI driven insights (e.g. predictive models, NLP, or LLM based solutions) into data platforms and reporting solutions Understanding of data governance, security, and compliance, including role based access control and data quality frameworks Familiarity with DevOps / CI CD practices for data platforms (e.g. Azure DevOps, Git, automated deployments) Experience working in client facing or consultancy environments, delivering solutions across multiple stakeholders Strong understanding of cloud cost management, performance tuning, and scalability Exposure to pre sales technical activities, such as solution design, estimations, and proof of concepts (desirable) At Sword, our core values and culture are based on caring about our people, investing in training and career development, and building inclusive teams where we are all encouraged to contribute to achieve success. We offer comprehensive benefits designed to support your professional development and enhance your overall quality of life. In addition to a Competitive Salary, here's what you can expect as part of our benefits package: Personalised Career Development: We create a development plan customised to your goals and aspirations, with a range of learning and development opportunities within a culture that encourages growth. Flexible working: Flexible work arrangements to support your work life balance. We can't promise to always be able to meet every request, however, are keen to discuss your individual preferences to make it work where we can. A Fantastic Benefits Package: This includes generous annual leave allowance, enhanced family friendly benefits, pension scheme, access to private health, well being, and insurance schemes. At Sword we are dedicated to fostering a diverse and inclusive workplace and are proud to be an equal opportunities employer, ensuring that all applicants receive fair and equal consideration for employment, regardless of whether they meet every requirement. If you don't tick all the boxes but feel you have some of the relevant skills and experience we're looking for, please do consider applying and highlight your transferable skills and experience. We embrace diversity in all its forms, valuing individuals regardless of age, disability, gender identity or reassignment, marital or civil partner status, pregnancy or maternity status, race, colour, nationality, ethnic or national origin, religion or belief, sex, or sexual orientation. Your perspective and potential are important to us. If we can do anything to help make the hiring process more accessible, please let our talent acquisition team know when you apply so we can support any adjustments.

Job Description & Summary We are hiring Data & AI Consultants into our Technology Consulting practice. You will deliver client-facing engagements across analytics, BI, data engineering, data governance, data science, AI and workflow automation, in sectors including financial services, public sector, healthcare and life sciences. You do not need to meet every requirement to apply. As a Data & AI Consultant, you will work alongside clients across diverse sectors, using your technical, analytical and consulting skills to deliver practical data and AI solutions. The role is hybrid, with client site presence required where needed. Role Tracks The role spans the following Data & AI tracks. Candidates are expected to bring depth in one or more, not all. You may also work across tracks depending on client need (for example, a data engineering engagement may include governance and quality work). Data Analytics, BI and Reporting Data Engineering and Analytics Engineering Data Science, AI and Advanced Analytics Data Governance, Data Quality and Data Management Automation and AI enabled Workflow Responsibilities Working with clients to understand business problems and translate them into data, analytics, BI, engineering, governance or automation outputs. Building dashboards, data pipelines, models, governance artefacts or automation solutions, depending on track. Profiling, validating and improving the quality of client data. Preparing client ready deliverables, documentation and handover materials. Running client workshops and working sessions. Managing assigned tasks or workstreams and flagging risks and issues. Additional expectations at Assistant Manager and Manager: Lead small teams or workstreams and review junior outputs. (Manager) Contribute to proposals, propositions, reusable assets and the development of new Data & AI work. Skills and Experience Education and Certifications Degree or equivalent experience in a relevant discipline such as Data Science, Computer Science, Engineering, Information Systems, Mathematics, Statistics, Economics, Business Analytics or a related field. Proficiency in at least one programming language (e.g., SQL, Python, R). Core experience and skills 2-8 years in data, analytics, BI, engineering, data science, AI, automation or governance. Degree or equivalent experience in a relevant discipline. Proficiency in SQL and at least one of Python, R, DAX or Power Query. Strong analytical and problem solving skills with messy or incomplete data. Ability to translate business requirements into clear data or technical outputs. Strong written and verbal communication, including explaining technical content to non technical audiences. Interest in client facing consulting. Sector experience in financial services, public sector, healthcare or life sciences is useful but not required. Data Analytics, BI and Reporting Building dashboards and reporting using Power BI, Tableau, Qlik or similar. Defining KPIs and reporting requirements with business stakeholders. Power BI semantic modelling using DAX and Power Query. Analysing data to identify trends, risks and recommendations. Data Engineering and Analytics Engineering Building data pipelines and ETL / ELT workflows. Working with at least one cloud data platform (e.g. Azure, Microsoft Fabric, Databricks, Snowflake). Designing data models for reporting, analytics or reconciliation. Implementing data quality checks and technical documentation; exposure to version control and CI/CD is useful. Data Science, AI and Advanced Analytics Applying statistical, predictive or machine learning techniques to business problems using Python or R. Experience across forecasting, classification, optimisation, NLP or GenAI enabled analysis. Translating model outputs into business recommendations. Awareness of model performance, explainability and responsible AI. Data Governance, Data Quality and Data Management Profiling, cleansing, validating and remediating data. Defining data quality rules, dictionaries, metadata and lineage. Supporting data ownership and stewardship models. Contributing to data migration, regulatory reporting or remediation projects. Automation and AI enabled Workflow Identifying opportunities to automate reporting, reconciliation or operational processes. Building solutions using Power Automate, Power Apps, UiPath, Python or VBA. Mapping current and future state processes with business users. Supporting AI enabled use cases such as document processing, extraction, classification or triage. Job Info Job Identification 115210 Job Category - Posting Date 06/30/2026, 01:54 PM Degree Level Bachelor's Degree Job Schedule Full time Locations 12-15 Donegall Square West, Belfast, BT1 1BG, GB

TerraQuest Role: Azure Infrastructure Engineer Location: Birmingham in line with our Agile Working Policy. You will need to be able to work from our Birmingham office 2 days per week/office to be attended as often as business needs require. Salary: Competitive TerraQuest Solutions Ltd is an award-winning and market-leading specialist provider of planning, land, property, and business solutions. We are an established and trusted organisation that is renowned for its expertise in providing innovative and cost-effective solutions to both public and private sectors. Our team delivers bespoke, flexible, and efficient services through a process-orientated delivery structure. We pride ourselves on strong customer relationships evidenced by the high proportion of referrals and repeat business. Why work with us We are a Living Wage Foundation accredited employer, committed to supporting the well being and development of all our people. With competitive salaries, enhanced Family Friendly policies; a fabulous suite of benefits (including: Pension; Life Assurance; Employee Assistance Programme; option to buy additional annual leave in addition to 25 days plus Bank Holidays); true flexibility with our Agile Working approach, and superb training and development opportunities, we really care about our team! What we need Due to a period of sustained growth, we are looking to recruit an Azure Infrastructure Engineer to join our Infrastructure Team. Reporting to Head of Engineering Infrastructure and working within Solutions team, the Azure Infrastructure Engineer will be responsible for designing, implementing, and maintaining robust Azure platforms, that host diverse range of products and services. You'll work in development scrum team and engage closely with other Infrastructure engineers, Solutions Architects and information security professionals to design and create infrastructure solutions, deploy new features and continuously improve performance, automation, and resilience. What you will be doing Design, build, and maintain Azure services including App Service, Azure SQL Database, Application Gateway, API Management, Storage Accounts, and Databricks. Implement Infrastructure as Code (IaC) using Terraform and scripting (PowerShell, bash). Collaborate with architects and development teams (primarily .NET) to align infrastructure with solution/application architecture. Drive adoption of DevOps practices, including automated deployments and environment provisioning. Implement monitoring, logging, and alerting using Azure Monitor, Log Analytics, and Application Insights. Troubleshoot complex infrastructure and configuration issues across environments. Create and maintain the documentations for knowledge sharing and training. Conduct proof of concepts (POCs) and feasibility studies for emerging technologies and guide adoption strategies. Stay current with changes in the cloud technology landscape and recommend strategic options, work with Head of Engineering Infrastructure and other stakeholders on adoption plans. What we are looking for We are looking for an enthusiastic and professional Infrastructure Engineer to join our growing team. You must have a proven track record of implementing Azure infrastructure solutions from the ground up. We are looking for individuals who have both the hunger and passion to develop their career. With a positive and proactive mindset, you must have a hands on style and approach in respect to your work ethic and someone who can quickly and confidently take technical ownership of their own projects, work well with the wider team, and support/mentor junior colleagues. Essential Strong hands on experience with Azure services: App Service, Azure SQL Database, Application Gateway, API Management, Servicebus, Storage Accounts, Databricks Expertise in Infrastructure as Code using Terraform and scripting knowledge (PowerShell, bash). Experience building and managing CI/CD pipelines with Azure DevOps, experience working with build and deployment orchestration tools. Solid understanding of cloud networking: VNets, NSGs, firewalls, load balancers, DNS Knowledge of security best practices: RBAC, Managed Identities, Key Vault Ability to implement high availability, scalability, disaster recovery, and business continuity solutions Proficiency in monitoring and alerting tools (Azure Monitor, Application Insights) and experience with implementing monitoring, logging and alerting solutions. Experience in investigating and solving environmental and configuration issues across the stack. Desirable Investigate and debug .NET and react applications for performance and reliability Experience with containerization (Docker, Kubernetes) Knowledge of logging and monitoring stacks (ELK, Splunk, Azure Smart Detection) Programming experience in C# Exposure to cost optimization and cloud governance frameworks Knowledge of Azure AI Foundry and Data Fabric Knowledge of Blue/Green deployments, deployment slots to reduce downtime Soft Skills Strong problem solving and analytical abilities. Excellent communication and documentation skills. Ability to work collaboratively in agile, cross functional teams. TerraQuest Solutions Ltd is committed to promoting equality of opportunity in all aspects of employment and to creating an inclusive working environment in which individuals are treated with dignity and respect. We ensure that no job applicant, employee, or worker receives less favourable treatment on the grounds of age, disability, gender reassignment, marital or civil partnership status, pregnancy or maternity, race (including colour, nationality, ethnic or national origin), religion or belief, political opinion, sex, or sexual orientation. TerraQuest Solutions Ltd operates in compliance with the Fair Employment and Treatment (Northern Ireland) Order 1998. We monitor the composition of our workforce in accordance with the Fair Employment (Monitoring) Regulations (Northern Ireland) 1999, and where applicable, submit annual monitoring returns to the Equality Commission for Northern Ireland (ECNI). All monitoring information is held securely and processed under the legal basis of compliance with a statutory obligation, in accordance with the UK GDPR and the Data Protection Act 2018. We do not rely on employee consent and ensure all personal data is treated with the utmost confidentiality and integrity. TerraQuest aims to use this data to help identify and address any patterns of underrepresentation and to inform positive action measures where appropriate, fostering a workplace culture that embraces diversity and fair participation.