50 jobs found

Data Engineer (Fabric) Sheffield City Centre (On-site + 1 day home working) Up to 60,000 + 15% Pension Your new role Working closely with stakeholders across the UK, US and European businesses, you will help ensure data is accessible, trusted, and used effectively to support operational and strategic decision-making. This is a hands-on role combining data engineering with analytical delivery, reporting to the Global IT Manager, with a clear opportunity over time to take on greater technical ownership and help shape the direction of the data platform as it continues to mature. Responsibilities Champion data innovation within a forward-thinking manufacturing environment, integrating insights from energy systems, operational technology, ERP, and CRM platforms to drive operational improvement and support smarter financial and strategic decision-making Design, build, and continuously improve scalable end-to-end data pipelines within Microsoft Fabric, implementing and maintaining medallion architecture standards across ingestion, transformation, and presentation layers Develop and optimise trusted data models and semantic layers that enable high-quality reporting, self-service analytics, and advanced business insight Collaborate closely with stakeholders across the organisation to translate business requirements into practical data solutions and support analytics projects from discovery through to adoption and business use Shape and evolve platform standards, governance, and security practices while maintaining high levels of data quality, reliability, and performance, continuously identifying opportunities to improve tools, processes, and ways of working, and actively developing your own technical and professional capability Experience needed Hands-on experience with Microsoft Fabric, including Lakehouse, Dataflows, Notebooks, Pipelines, and workspace management, with the ability to design and support scalable data solutions across ingestion, transformation, and presentation layers Strong SQL skills, including developing, optimising, and troubleshooting queries to support data transformation and analytical models Confident in building and maintaining robust data models and semantic layers that support high-quality reporting, self-service analytics, and advanced insight using tools such as Power BI or similar analytics platforms Experience working with structured business data from enterprise systems such as ERP and CRM platforms, with an understanding of data relationships, master data concepts, and business process integration Strong, clear communicator able to translate complex technical topics into simple, meaningful insights and narratives for a range of audiences Strong stakeholder engagement skills, building trusted relationships across business and IT teams Certifications such as Microsoft Power BI Data Analyst (PL-300), Microsoft Fabric Analytics Engineer Associate (DP-600), Microsoft Fabric Data Engineer Associate (DP-700) Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)

Data Analyst - London - Up to 50K Hybrid working - 3 days a week onsite SQL Power BI Snowflake Are you a Data Analyst with strong SQL and Power BI skills looking to make a real impact? We're partnering with an organisation that's investing heavily in its data capabilities and is looking for a talented Data Analyst to play a key role in transforming data into meaningful business insight. This isn't just another reporting role. We're looking for someone with excellent data fundamentals -someone who understands how data is structured, modelled and transformed before bringing it to life through intuitive Power BI dashboards. You'll work across the full dashboard development lifecycle, partnering with stakeholders to turn complex business requirements into impactful reporting solutions that drive better decision-making. The Role You'll be responsible for: Designing and developing engaging Power BI dashboards from concept through to deployment. Gathering requirements, creating wireframes and delivering reporting that answers real business questions. Writing and optimising SQL queries to extract, manipulate and prepare data. Analysing complex datasets to identify trends, opportunities and actionable insights. Working alongside Data Engineers to improve data pipelines and support scalable data models. Ensuring data quality, accuracy and governance across reporting solutions. Building strong relationships with stakeholders and acting as a trusted partner for data and analytics. We're keen to speak with Data Analysts who have a solid understanding of core data principles and enjoy solving business problems through data. Essential skills include: Strong SQL skills. Proven experience building dashboards in Power BI. Excellent understanding of data fundamentals, including data modelling, data preparation and data quality. Experience translating business requirements into reporting and dashboard solutions. Strong analytical and problem-solving skills. Excellent communication skills with both technical and non-technical stakeholders. Nice to have (but not essential): Snowflake experience. Python or R. Microsoft Azure. Please apply asap if intersted. GleeIT At Gleeson Recruitment Group, we embrace inclusivity and welcome applicants of all backgrounds, experiences, and abilities. We are proud to be a disability confident employer. By applying you will be registered as a candidate with Gleeson Recruitment Limited. Our Privacy Policy is available on our website and explains how we will use your data.

Lead Analytics Engineer - Contract Location: Hybrid (1 day/week in London) Rate: 650- 700 per day (INSIDE IR35) Contract Length: 3 Months Overview We're looking for a Lead Analytics Engineer to drive the design and delivery of scalable data models, pipelines, and analytics solutions. You'll sit between data engineering and analytics, enabling high-quality, trusted datasets for reporting and decision-making. Key Responsibilities Design and build scalable data models for analytics (e.g. star schema) Develop and maintain data pipelines / transformations Define and implement data standards, quality, and governance Enable self-service analytics through well-structured datasets Collaborate with stakeholders to translate business needs into data solutions Lead best practice across modelling, documentation, and performance Support and mentor analysts / engineers within the team Skills & Experience Strong SQL and data transformation experience (e.g. dbt or similar) Proven experience building analytics layers / semantic models Solid understanding of data modelling principles Experience with cloud data platforms (Azure / Fabric preferred) Strong Power BI or equivalent BI tooling Experience working with stakeholders in a delivery-focused environment Desirable: Python or other scripting languages Experience leading or mentoring teams Exposure to modern data stack tooling

The Opportunity Lynx Recruitment is supporting a global consultancy looking for a Solution Architect (AI & Cloud) to help design and deliver modern, cloud-first digital services that directly impact the lives of UK residents. This role is ideal for an experienced cloud architect ready to expand into AI-led architecture, with a stronger focus on data, automation, and intelligent systems. You'll play a key role in shaping scalable, secure, and user-centred solutions while championing the adoption of AI where it delivers real value. Working within multidisciplinary teams and government-aligned delivery environments, you'll balance innovation with governance, resilience, and long-term sustainability. What You'll Be Doing Design end-to-end cloud-native architectures across applications, data, integration, and platforms Apply cloud-first and user-centred design principles to build scalable and secure services Translate business needs into clear technical designs and architectural decisions Shape data platforms, integrations, and automation capabilities Support integration of AI-enabled solutions (eg automation, analytics, LLM-based services) Collaborate with engineers, analysts, and delivery teams to ensure solutions are delivery-ready Define and assure non-functional requirements (performance, security, resilience, scalability) Provide architectural oversight across delivery and live service environments What We're Looking For Proven experience as a Solution Architect delivering cloud-based services (AWS, Azure, or similar) Strong understanding of modern architecture patterns (APIs, integrations, data platforms) Experience in public sector or regulated environments Interest or early experience in AI/automation integration Ability to balance innovation with compliance and delivery pragmatism Strong stakeholder communication skills across technical and non-technical audiences Familiarity with frameworks such as TOGAF (applied practically) A growth mindset, with interest in AI-enabled and data-driven architecture

About the Company A leading UK consulting and administration business specialising in pensions and insurance services. The organisation combines deep industry expertise with advanced technology and analytics to support large-scale pension schemes and their sponsoring employers. It provides administration for over one million members and delivers advisory services across schemes of all sizes, including many with assets exceeding £1bn. It also supports insurance clients in the life and bulk annuities sector. Package Details Remote (UK) | £45,000-£60,000 + 6% bonus Main Duties and Responsibilities Model Development (Azure Machine Learning Studio focus) Work collaboratively with actuarial and analytics teams to design, build, and deploy machine learning and statistical models using Azure Machine Learning Studio (AML Studio) in production environments. Apply appropriate ML techniques to improve predictions such as longevity, default risk, and investment outcomes. Machine Learning Operations (MLOps in Azure) Manage the full ML life cycle using Azure ML Studio, including deployment, monitoring, retraining pipelines, and version control. Implement robust MLOps practices such as model drift detection, data quality monitoring, and automated retraining workflows. Data Engineering and Preprocessing Develop and maintain scalable data pipelines using Python, SQL, and Azure Data Factory (ADF). Ensure data is clean, reliable, and structured for use in Azure ML Studio workflows. Software Development Produce clean, efficient, and production-grade Python code. Apply CI/CD practices and DevOps/MLOps principles integrated with Azure Machine Learning Studio environments. Cross-functional Collaboration Work closely with actuarial analysts and modelling teams to translate outputs from Azure ML Studio into actionable insights and business recommendations. Innovation and Continuous Improvement Stay up to date with developments in Azure Machine Learning Studio, MLOps, and data science technologies, identifying opportunities to improve models, automation, and delivery efficiency. Training and Knowledge Sharing Support and train team members on machine learning approaches and Azure ML Studio workflows, including deployment and monitoring practices. Stakeholder Communication Clearly explain machine learning concepts and Azure ML Studio-based solutions to both technical and non-technical stakeholders. Job Requirements Essential Strong hands-on experience with Azure Machine Learning Studio (AML Studio), including end-to-end model development, deployment, monitoring, and life cycle management in production environments Experience building and optimising ML models using Azure ML workflows Strong Python and SQL skills for data manipulation, modelling, and automation Experience with Azure Data Factory (ADF) for data pipeline development Strong understanding of CI/CD and MLOps practices, ideally within Azure environments Experience with data visualisation tools such as Power BI Strong communication skills with ability to explain technical concepts clearly to non-technical audiences Desirable Experience in pensions, insurance, or regulated financial services Experience working in multidisciplinary analytics or actuarial teams Broader exposure to Azure ecosystem tools (eg, Azure DevOps, Databricks) Key Requirement The most critical requirement for this role is hands-on, production-level experience with Azure Machine Learning Studio (AML Studio), including building and deploying ML models end-to-end, managing model life cycle in production, implementing MLOps workflows (monitoring, drift detection, retraining), and integrating Azure ML Studio with data pipelines and CI/CD processes. Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted. Proactive Appointments Limited operates as an employment agency and employment business and is an equal opportunities organisation We take our obligations to protect your personal data very seriously. Any information provided to us will be processed as detailed in our Privacy Notice, a copy of which can be found on our website

Data Engineer SQL London Location London, Hybrid, 3 days in the office each week (Monday, Tuesday and Wednesday) Salary 45,000 to 50,000 dependent on experience Ref J13133 We are looking for a Data Engineer to join an AI-first SaaS business developing next-generation analytics and decision intelligence products. Working alongside Product Managers, AI Engineers and Analysts, you will help build the data platforms, pipelines and models that power production AI solutions used by organisations across multiple sectors. What You'll Be Doing Building and maintaining data pipelines using SQL and Python Developing data models for analytics and AI applications Working with cloud platforms including Azure, AWS or GCP Supporting CI/CD processes and automated deployments Implementing data quality, monitoring and validation processes Collaborating with Product, Engineering and AI teams on new product development What We're Looking For Commercial Data Engineering experience Strong SQL skills Python experience Exposure to Azure, AWS or GCP Understanding of data modelling and data warehousing principles Experience working with Git and CI/CD processes Strong communication skills and a collaborative mindset Nice to Have SaaS or product development experience Exposure to AI or machine learning environments Experience with Databricks, Fabric or modern cloud data platforms The Opportunity Work on AI-powered products rather than internal reporting Join a collaborative product engineering team Exposure to modern cloud and AI technologies Opportunity to influence products used by real customers Excellent environment for learning and development For more information make an application today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)

Job Title: Payments Operation Analyst/Manager Location: Remote, England, UK Contract: 6 Months (Potential Extension) Payrate: 379 - 517 Per day Inside IR35 Overview We are hiring a Technical Data & Operations Manager/Analyst to support a fast-scaling creator monetization platform within a global digital organisation. This role sits at the intersection of data, operations, and technology, ensuring a seamless payment experience for creators across podcasts, audiobooks, and digital content. You will act as the central point of contact for complex payment and onboarding issues, combining hands-on problem solving with data-driven insights to improve systems and processes at scale. Key Responsibilities Manage and prioritise technical support queues (Jira) related to creator payments, onboarding, and account issues Act as the primary escalation point for complex payout, tax, and eligibility issues Analyse trends and recurring issues using SQL and internal data sources Partner with Engineering, Product, Finance, and Legal teams to resolve operational challenges and improve platform performance Drive automation and process improvements, leveraging AI tools where appropriate Maintain playbooks, SOPs, and internal documentation to improve efficiency and reduce escalations Perform operational tasks including account updates, payment adjustments, and data corrections Skills & Experience Experience in technical operations, data analytics, or platform support within a large-scale tech or digital business Strong SQL skills with the ability to investigate and interpret data Experience working with ticketing systems such as Jira Exposure to payment systems, financial platforms, or monetization workflows Ability to identify patterns, draw insights, and influence technical improvements Strong stakeholder management and communication skills Experience working in fast-paced, high-growth environments Preferred Background We are particularly interested in candidates from enterprise-scale technology or platform businesses or from big product based companies or similar organisations operating complex data and payment ecosystems. This is urgent opportunity where the hiring manager is looking to interview asap. If you are interested then apply with a copy of your CV or send your CV to khushboo .co .uk Randstad Technologies is acting as an Employment Business in relation to this vacancy.

Data Analyst Programmer /Data Scientist Location: Larne, Northern Ireland (100% On-site) Duration: 12 Months Contract with potential extension Payrate: 33.25 - 42 per hour Inside IR35 Relocation: Open to candidates willing to self-relocate to Larne; please note that no relocation allowance/bonus is provided . About the Role We are recruiting for a global leader in heavy machinery and industrial power systems. We are recruiting for Data Analyst, this is individual contributor role focuses on developing reliable data pipelines, executing analytics, and driving automation initiatives across high-priority workstreams. You will join a collaborative, 3-person local team to bridge capability gaps and maintain delivery momentum. Key Responsibilities Data Engineering: Build and maintain ETL/ELT pipelines using Python, SQL, and Snowflake . Automation & CRM: Create dashboards and automated workflows via Microsoft Power Platform (Power BI, Power Apps, Power Automate) and integrate Salesforce data. Analytics: Provide curated datasets, support KPI development, and troubleshoot data issues. What We Are Looking For Experience: 3-5+ years in data science, analytics, data engineering, or automation roles. Technical Skills: Strong proficiency in Python, SQL, Snowflake , and Microsoft Power Platform . Experience with Salesforce CRM data is highly preferred. Soft Skills: A proactive self-starter with strong stakeholder management and an ownership mindset. Education: A relevant degree is preferred. This is an urgent role where Hiring Manager is looking to shortlist for an interview urgently. If you are interested then please apply with a copy of your CV or send your CV to khushboo .co .uk Randstad Technologies is acting as an Employment Business in relation to this vacancy.

Conrad Consulting is partnering with a leading international consultancy to recruit a Senior Data Analyst to join their expanding Project Controls and Digital Performance team. This is an exciting opportunity for an experienced data professional to work on major infrastructure, construction, and capital investment programmes, helping clients make informed decisions through high-quality data analysis, reporting, and visualisation. The successful candidate will play a key role in transforming complex project data into meaningful insights, supporting project teams and senior stakeholders in driving performance, identifying trends, and improving project outcomes. Key Responsibilities Lead the analysis of project and programme performance data across complex projects. Develop and maintain dashboards, reports, and management information to support project controls and decision-making. Translate complex datasets into clear, actionable insights for clients and project teams. Identify trends, risks, opportunities, and performance issues through detailed data analysis. Collaborate with project controls, planning, commercial, and risk teams to ensure consistent and accurate reporting. Support the development of reporting frameworks, data governance processes, and performance metrics. Present findings and recommendations to senior stakeholders and client leadership teams. Mentor junior analysts and contribute to the continued development of the data and analytics capability. Requirements Minimum 10 years' experience in data analysis, reporting, or project performance analytics. Strong experience analysing large and complex datasets within project, programme, or portfolio environments. Advanced proficiency in Microsoft Excel, Power BI, and other reporting and visualisation tools. Experience developing executive-level dashboards and management reporting packs. Strong analytical and problem-solving skills with the ability to communicate complex information clearly. Experience supporting major infrastructure, construction, engineering, or capital project environments would be advantageous. Degree qualified in a relevant discipline or equivalent professional experience. What's on Offer Opportunity to work on high-profile and nationally significant programmes. Exposure to industry-leading project controls and performance management practices. Flexible and hybrid working arrangements. Competitive salary and comprehensive benefits package. Clear opportunities for career progression and professional development.

Analytics Manager 95K - 105K London (Hybrid) At Data Idols, we are working with a fast-growing, technology-led digital business operating at significant scale across multiple international markets. They are now looking for an Analytics Manager to lead a team of five analysts and drive commercially impactful insight across a critical business area. The Opportunity This is a high-impact leadership role sitting at the intersection of analytics, commercial strategy and operational performance. You will lead a team of analysts responsible for delivering actionable insights that help stakeholders understand performance, identify opportunities for optimisation and make better data-driven decisions. As the Analytics Manager, you will own the analytics roadmap for a key business function, partnering closely with senior stakeholders across commercial, product and engineering teams. Whilst leading and developing the team, you will remain hands-on with analysis, working on complex business problems, shaping measurement approaches and supporting key strategic initiatives. Skills and Experience Advanced SQL skills Experience with data modelling Previous experience managing or leading analytics teams Ability to influence senior stakeholders and strategic decision-making through data and insight Strong stakeholder management and communication skills If you are looking for an opportunity to lead a high-performing analytics team while staying close to the data and driving meaningful business impact, please submit your CV for initial screening and further details. Analytics Manager

Senior Data Engineer (Contract) Duration: 6 Months (Possibility for extension) Location: London/Hybrid (3 days per week on site) Rate: A highly competitive Umbrella Day Rate is available for suitable candidates Role Profile We are seeking a highly skilled Senior Data Engineer with strong expertise in Python and Databricks to design, build, and optimise scalable data pipelines and platforms. You will play a key role in enabling data-driven decision-making by delivering reliable, efficient, and high-quality data solutions. Key Responsibilities Design, develop, and maintain scalable data pipelines using Python and Databricks Build and optimise ETL/ELT workflows leveraging Databricks (Spark, Delta Lake) Develop robust data models and data architectures on Lakehouse platforms Implement and manage data workflows within the Databricks ecosystem Ensure high data quality, governance, and reliability across pipelines Optimise performance of large-scale distributed data processing Collaborate with data scientists and analysts to support analytics and ML Implement monitoring, logging, and alerting for data systems Mentor junior engineers and drive engineering best practices Skills & Experience Extensive experience in data engineering Strong programming expertise in Python Hands-on experience with Databricks (workflows, notebooks, jobs, Delta Lake) Strong experience with Apache Spark / PySpark Experience building scalable ETL pipelines Proficiency in SQL and relational databases Experience with cloud platforms (AWS / Azure / GCP) Experience with modern data warehousing solutions (e.g., Snowflake, BigQuery, Redshift) Familiarity with orchestration tools (e.g., Airflow, Databricks Workflows) Strong understanding of data modelling and lakehouse architecture Databricks certifications (e.g., Databricks Certified Data Engineer) Experience with streaming data pipelines (Kafka, Structured Streaming) Experience with CI/CD and DevOps practices Knowledge of Delta Lake features (time travel, CDC, optimisation) Experience with containerisation (Docker, Kubernetes) Exposure to ML pipelines on Databricks Candidates will need to show evidence of the above in their CV in order to be considered. If you feel you have the skills and experience and want to hear more about this role 'apply now' to declare your interest in this opportunity with our client. Your application will be observed by our dedicated team. We will respond to all successful applicants ASAP however, please be advised that we will always look to contact you further from this time should we need further applicants or if other opportunities arise relevant to your skillset. Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. As part of our standard hiring process to manage risk, please note background screening checks will be conducted on all hires before commencing employment. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.

Analytics Engineer/Data Analyst Hybrid: 2 days per week in the office (London) Permanent Paying up to 65k + bonus We are currently working with a leading organisation who are investing heavily in their data and analytics capability. They are looking to hire a Data Analyst to join a growing team and play a key role in delivering modern, production-grade analytics solutions across the business. The Role You will work closely with business and technology teams to: Build and maintain high-quality, reusable datasets Analyse complex data using SQL and Python Deliver automated reporting and dashboards Support the development of scalable data products This is a hands-on role focused on moving beyond ad-hoc analysis to building robust, repeatable analytics solutions. Key Responsibilities Partner with stakeholders to understand business problems and define data requirements Manipulate, link and analyse datasets to generate insights Improve data quality and consistency across systems Build automated reporting, dashboards and data pipelines Turn recurring analysis into reusable components and templates Apply validation and quality checks to ensure accuracy Key Skills & Experience Strong SQL and Python experience Experience working with cloud-based data platforms (e.g. Snowflake, Azure, AWS) Data visualisation experience (e.g. Power BI) Experience building production-ready data outputs Strong stakeholder engagement and communication skills Experience using AI coding tools (Copilot, Claude, etc.) is highly desirable Why Apply? Join a growing data function within an established organisation Work with modern tools and technologies Opportunity to build data products, not just reports Strong exposure to business stakeholders and real-world impact If you'd like to learn more, please contact Jacob Ferdinand at If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.

We are currently recruiting for a Data Analyst to join a growing, data-led organisation within a specialist global industry. This role sits at the heart of a data research and analytics team, combining data quality assurance, analytical insight, and content creation. You will play a key role in ensuring the accuracy of critical datasets while also transforming data into compelling, insight-led content that supports thought leadership and market positioning. Key Responsibilities Data Quality & Analysis: Perform final quality assurance checks on complex market intelligence datasets Identify data gaps, anomalies, and inconsistencies, feeding back to data and engineering teams Produce regular reporting on data quality findings and improvements Build dashboards to support data analysis and validation Data Research & Processing: Research and source data on fleet movements, aircraft types, and configurations Support the structuring and processing of raw data into usable formats Investigate and resolve data discrepancies with internal teams and external providers Content & Insights: Create insight-driven content for marketing and newsletters Translate complex data trends into clear, engaging narratives Identify compelling stories and trends from across multiple datasets Collaborate with product and commercial teams to align content with business priorities About You: Strong analytical background with experience in data analysis and research Excellent written communication skills, with the ability to simplify complex data Comfortable working with structured datasets (Excel or similar tools) High attention to detail, particularly in data accuracy and reporting Strong interest in aviation or working with complex industry data Experience with tools such as Power BI, Snowflake, or similar platforms Desirable Skills: SQL or data querying experience Experience writing content for newsletters or marketing channels Familiarity with data quality assessment and validation techniques Knowledge of aviation data or similar large-scale datasets Benefits: Hybrid and flexible working Private healthcare Pension scheme Career development opportunities Supportive, collaborative team environment Regular company events and wellbeing initiatives APPLY NOW! Cherry Professional are recruiting for this opportunity on behalf of our client. Please view our Privacy Policy on our website to understand how your data will be used if you apply for this role.

Python / Azure Developer Rate: 550 per day (Inside IR35) Contract: Initial 6-month contract Start: ASAP Location: Remote with occasional travel (approximately 1 day per month alternating between Leeds and London) The Role We are looking for an experienced Python / Azure Developer to join a major public sector digital programme. You'll be responsible for designing, developing and supporting cloud-native applications and data solutions within a highly regulated environment. This role requires previous experience delivering solutions within the NHS, wider healthcare sector or UK Government and offers the opportunity to contribute to large-scale digital transformation initiatives. Key Responsibilities Design, develop and maintain applications using Python and Microsoft Azure Build and support cloud-native services, APIs and data processing solutions Develop scalable and secure solutions following public sector best practices Work closely with architects, product teams, business analysts and stakeholders Contribute to CI/CD pipelines, automation and infrastructure improvements Troubleshoot production issues and optimise system performance Ensure solutions meet security, governance and compliance requirements Participate in Agile ceremonies and contribute to technical design discussions Essential Skills & Experience Strong commercial experience developing applications with Python Proven hands-on experience with Microsoft Azure Experience building and consuming REST APIs and microservices Strong understanding of cloud architecture and Azure services Experience with CI/CD pipelines and DevOps practices Familiarity with Git and modern software engineering best practices Experience working within NHS, Healthcare, Government or wider Public Sector environments Desirable Experience Azure Functions, Logic Apps, Service Bus or Event Grid Containerisation using Docker and Kubernetes Infrastructure as Code (Terraform, Bicep or ARM Templates) Data engineering or analytics experience Knowledge of NHS standards, governance and security frameworks Experience working on large-scale digital transformation programmes Requirements NHS, Healthcare or Government/Public Sector experience is essential Available to start at short notice Able to attend team meetings in Leeds or London approximately once per month Apply now or email for more information.

Senior Business Analyst Job Title : Senior Business Analyst Department : Operations Location : Canary Wharf, London Reports To : Chief Executive Officer (CEO) Details: We are seeking a detail-oriented and analytical Business Analyst to bridge the gap between business needs and technology solutions. The ideal candidate will work closely with stakeholders, project managers, developers, and end users to gather requirements, analyse business processes, and support the successful delivery of IT projects. DUTIES & RESPONSIBILITIES: Gather, analyse, document, and validate business and functional requirements. Collaborate intensively with leadership to design and execute ambitious business strategies and goals Create Business Requirement Documents (BRD), Functional Requirement Documents (FRD), user stories, process flows, and use cases. Analyse existing business processes and identify opportunities for improvement and automation. Collaborate with development and quality assurance teams throughout the software development lifecycle (SDLC). Assist in defining project scope, objectives, and deliverables. Monitor project progress and deliver comprehensive, data-driven reports on business performance, operational metrics, and client satisfaction to empower informed decision-making. Maintain vigilant oversight of project financials, including budgets, invoices, and expenses. Ensure unwavering compliance with company policies, industry regulations, and data privacy standards. proactively identify and mitigate risks within operational processes and project execution. Develop and uphold robust business continuity plans. SKILLS, EXPERIENCE & QUALIFICATIONS: Bachelor s degree in Business Administration, Management, or a related field (Post Graduate degree/diploma in a related field preferred). Minimum of 5 years of experience as business analyst or a similar role. Proficient in using project management tools (e.g., Jira, Trello, Azure) and productivity software (e.g., Microsoft Office Suite, Google Workspace). Possesses a comprehensive understanding of SDLC, Agile, Scrum, and Waterfall methodologies Demonstrates experience in requirements gathering, process mapping, and business analysis. Exceptional analytical, problem-solving, and decision-making skills. Outstanding communication and interpersonal abilities. Thorough understanding of financial management and budgeting processes. PREFERRED SKILLS: Holds certifications such as PMI-PBA/ PMP, or certifications in Agile methodologies. Possesses knowledge of SQL, data analysis, and reporting tools such as Power BI or Tableau. Has involvement in digital transformation initiatives or process improvement projects. Exposure to Generative AI, AI-driven automation, prompt engineering, and AI-assisted analytics/reporting tools

Performance Analyst - Digital Services (Public Sector) Location: Remote (with occasional ad hoc travel) Day Rate: 450 per day (Inside IR35) Contract: Initial 4-month discovery phase, transitioning into long-term engagement with rolling 6-month Statements of Work Clearance: BPSS required Equipment: Bring Your Own Device (BYOD) The Role We're seeking an experienced Performance Analyst to support a major public sector digital programme . You'll analyse and interpret service and operational performance data to drive informed decision-making and continuous improvement across government digital services. Working within Agile teams, you will deliver clear, actionable insights into user behaviour and service performance, helping to optimise user journeys and enhance overall service delivery. Key Responsibilities Performance Measurement & Analysis Define and track KPIs, SLAs, and service performance metrics Analyse user journeys, service usage, and operational data Identify trends, anomalies, risks, and optimisation opportunities Data Collection & Management Work with engineering and data teams to: Define data requirements Ensure accurate data capture and instrumentation Maintain high standards of: Data quality, validation, and governance Insight Generation & Reporting Produce dashboards and reports using Power BI or Tableau Translate complex data into clear, stakeholder-ready insights and recommendations Enable evidence-based decision making across teams Agile Team Integration Embed within Agile delivery teams , working in sprint cycles Support backlog prioritisation through insight Collaborate with Product Managers, Delivery Managers, Developers, and Designers Continuous Improvement Use data to recommend and drive service improvements Measure impact through experimentation (e.g. A/B testing ) Support ongoing optimisation of digital services Key Skills & Experience Proven experience as a Performance Analyst or within digital analytics / MI reporting Strong technical capability in: SQL Excel Power BI and/or Tableau Experience working with large, complex datasets and dashboards Good understanding of data quality, governance, and validation Ability to communicate insights clearly to non-technical stakeholders Desirable Experience with Python and/or R Why Join? Opportunity to work on impactful government digital services Long-term engagement with rolling 6-month contracts Remote-first role with flexibility Collaborative, insight-driven Agile environment