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We are looking for an experienced Programme Manager (data science) to join a Global MedTech leader working on one of the most exciting surgical technology platforms in the world. This is a hands-on delivery role spanning planning, stakeholder management and operational governance across complex cross-functional initiatives. Your stakeholders sit across London and the US, so confidence managing transatlantic relationships is essential. The ideal candidate will have a track record of delivering data science or analytics programmes in regulated environments such as MedTech, digital health, or life sciences. Be equally comfortable running sprint ceremonies with technical teams and presenting executive summaries to senior commercial stakeholders and can translate complexity into clarity, keep programmes moving and embed fast. If you have delivered programmes in regulated environments I would love to hear from you Start Date: Duration: 14 months - maternity cover, which includes time for a handover and hand-back.Monday to Friday 08:30 - 17:00Hybrid working, 2 days per week at their London office, Old Street.£450 - £525 per day depending on experience Duties to include: • Planning and coordination across multiple concurrent data science workstreams, • Sprint ceremonies, stand-ups and cross-functional delivery governance, • Stakeholder communication, steering materials and executive level reporting, • Risk and dependency management across fast-moving programmes, • Roadmap planning, quarterly prioritisation and delivery process improvementCandidate Experience:, • Delivery of data science, analytics, or ML programmes in regulated or R&D environments, • Senior stakeholder management across technical and commercial audiences, • Agile delivery experience, sprint planning, retrospectives, cross-functional ceremonies, • Familiarity with modern data environments such as Snowflake or similar platforms, • Exposure to AI or emerging technology programmes, • US stakeholder or transatlantic programme experience, • The ability to embed quickly and deliver from day one If you are interested in this role then please apply. If you would like to have more information on the position after making an application then please call and ask to speak with Beth. We will require your CV in order to be able to have an in-depth call so please ensure your CV has been submitted before calling. We look forward to receiving your application!

We are looking for an experienced Project Manager (data science) to join a Global MedTech leader working on one of the most exciting surgical technology platforms in the world. This is a hands-on delivery role spanning planning, stakeholder management and operational governance across complex cross-functional initiatives. Your stakeholders sit across London and the US, so confidence managing transatlantic relationships is essential. The ideal candidate will have a track record of delivering data science or analytics programmes in regulated environments such as MedTech, digital health, or life sciences. Be equally comfortable running sprint ceremonies with technical teams and presenting executive summaries to senior commercial stakeholders and can translate complexity into clarity, keep programmes moving and embed fast. If you have delivered programmes in regulated environments I would love to hear from you Start Date: Duration: 14 months - maternity cover, which includes time for a handover and hand-back.Monday to Friday 08:30 - 17:00Hybrid working, 2 days per week at their London office, Old Street.£450 - £525 per day depending on experience Duties to include: • Planning and coordination across multiple concurrent data science workstreams, • Sprint ceremonies, stand-ups and cross-functional delivery governance, • Stakeholder communication, steering materials and executive level reporting, • Risk and dependency management across fast-moving programmes, • Roadmap planning, quarterly prioritisation and delivery process improvementCandidate Experience:, • Delivery of data science, analytics, or ML programmes in regulated or R&D environments, • Senior stakeholder management across technical and commercial audiences, • Agile delivery experience, sprint planning, retrospectives, cross-functional ceremonies, • Familiarity with modern data environments such as Snowflake or similar platforms, • Exposure to AI or emerging technology programmes, • US stakeholder or transatlantic programme experience, • The ability to embed quickly and deliver from day one If you are interested in this role then please apply. If you would like to have more information on the position after making an application then please call and ask to speak with Beth. We will require your CV in order to be able to have an in-depth call so please ensure your CV has been submitted before calling. We look forward to receiving your application!

Role Overview This opportunity has arisen due to an immediate need for additional support as the team transitions from strategy into execution. A current contractor has been independently leading pricing work, and the team now requires someone who can quickly step in, work collaboratively, and ensure continuity and clarity across the analysis. This role is ideal for someone who thrives in fast-moving environments, can pick up existing work quickly, and communicates proactively while working closely with senior stakeholders. Key Responsibilities • Support the Senior Analyst and Central Planning team with day-to-day analytical tasks, • Break down complex analytical requests into clear, manageable deliverables, • Validate and enhance existing pricing models based on changes in direction, • Conduct ongoing operational and performance analysis, • Design and evaluate tests to measure pricing strategy performance, • Translate data insights into actionable outcomes to inform business decisions, • Ensure consistency, clarity, and traceability in analytical processes, • Work collaboratively to fully understand and build on prior workWhat Success Looks Like By the end of the project, you will have: • Contributed to the delivery and validation of a new pricing strategy, • Generated clear insights from testing and analysis to guide decision-making, • Helped build tools and frameworks to measure performance and pivot strategy effectively, • Supported the rollout of a refined customer pricing plan from July onwardsSkills & ExperienceMust-Have, • Advanced Excel skills (highly detailed, analytical use), • Strong SQL / Snowflake experience, • Proven ability to structure and communicate analysis clearly, • Highly numerate with a logical, step-by-step approach to problem solvingNice-to-Have, • Experience with Python or R, • Exposure to building analytical or pricing modelsIndustry Experience, • Retail or eCommerce, • Fast-paced, high-volume business environmentsSoft Skills, • Strong communication and transparency - essential, • Highly collaborative mindset (team-first approach), • Ability to over-communicate and stay closely aligned with stakeholders, • Quick to ramp up and comfortable working with ambiguityTeam & Environment, • Working closely with:, • Senior Analyst, • Central Planning Lead, • A collaborative team focused on shared ownership and continuous communication, • Limited runway - you will be expected to hit the ground running from day oneWorking Pattern, • Mostly remote, • 1 day per week in Farringdon (flexible)Interview Process, • Stage 1: 45-minute interview (Hiring Manager + team member), • Stage 2: Case study (1 hour), • Analyse provided dataset, • Answer 3 key analytical questions, • Final discussion with Analyst & Central Planning LeadStart Date, • ASAP (Interviews available immediately; onboarding planned for early next week)Ideal Candidate Profile A strong candidate will be technically capable. An excellent candidate will combine technical ability with exceptional communication, collaboration, and adaptability, ensuring they integrate quickly and enhance team effectiveness from day one.

Head of Analytics (Financial Services) London (On-site) £90,000 - £160,000 + bonus + benefits We're hiring a Head of Analytics to lead a centralised analytics function within a fast-growing, data-driven business undergoing significant transformation across analytics, AI, and decisioning. This is a high-visibility role working closely with senior leadership to drive faster, better, data-led decision making across the organisation. The Role You'll lead a central Analytics & MI team operating as a shared service across Finance, Marketing, and executive stakeholders. Key focus areas include: • Moving from reporting to actionable insight, • Embedding AI tools into analytics workflows, • Driving automation and improved data structures, • Supporting rollout of a new decision engine, • Managing priorities across multiple senior stakeholders This is a player-coach role (50/50 split) - combining leadership with hands-on delivery. What We're Looking For • Experience leading Analytics / MI teams, • Strong ability to turn data into clear commercial insight, • Hands-on technical skills (SQL + Python), • Experience with modern data tools (e.g. Snowflake, Power BI), • Exposure to AI tools / automation in analytics, • Strong stakeholder management, including senior leadershipBackground, • Open to any data-rich, commercial sector (FS helpful but not essential), • Suitable for an existing Head of Analytics or a strong Senior Manager stepping upWhy Apply?, • Shape a modern, AI-enabled analytics function, • High exposure to C-suite and business strategy, • Play a key role in business transformation, • Significant scope to influence analytics and AI direction Find out more and apply via the link below!!!

Senior Manager - Investment Management & Wealth | AI & Data Architecture Location: London / Edinburgh (Hybrid)Salary: £95k + bonus + benefits We're partnering with a leading consultancy seeking a Senior Manager to join its Investment Management & Wealth Technology & Transformation practice, specialising in AI and Data Architecture. This is a senior client-facing role focused on helping investment and wealth organisations modernise their data capabilities, design enterprise-scale architectures, and deliver complex transformation programmes across business and technology functions. Key Responsibilities • Lead the design and delivery of enterprise data strategies and AI-enabled transformation programmes Define scalable data architecture principles, target-state operating models, and solution road maps Drive improvements across data governance, data quality, master data management, analytics, and reporting capabilities Lead client workshops and engage senior stakeholders across business and technology teams Support the development of proposals, RFP responses, business cases, and go-to-market initiatives Manage and mentor high-performing multidisciplinary teams across large-scale delivery programmes Work closely with enterprise architects, engineering teams, and business leaders to align transformation initiatives across regions and functions Requirements • Strong experience within Investment Management, Asset Management, or Wealth Management environments Expertise across enterprise data architecture, data modelling, governance, and modern cloud data platforms Experience with technologies such as Snowflake, Databricks, Microsoft Fabric, Bloomberg, MSCI, Refinitiv, Charles River, or similar ecosystems Proven ability to lead complex transformation engagements and manage senior stakeholder relationships Strong consulting, programme delivery, and people leadership experience* Excellent communication and problem-solving skills Desirable • Experience designing AI-enabled data products and platforms Certifications across cloud, data, or AI technologies Knowledge of agile and waterfall delivery methodologies* CFA, CISI, CAIA, or related financial services certifications This is an excellent opportunity to join a high-growth transformation environment working on strategic AI and data initiatives across the investment and wealth sector.

Pricing Analyst London-based £400 per day (Inside IR35) 2-Month Contract Hybrid - 1 day per week in office This short-term contract offers the opportunity to step into a live pricing programme at a critical execution stage. You will help maintain momentum, take ownership of established models, and support the delivery of a defined pricing strategy through to end-state. The Company They are a well-established, consumer-facing organisation operating within the personalised products and e-commerce space. The business is highly data-driven and fast-paced, with pricing central to commercial performance and decision-making. Operating across multiple brands within a broader group structure, teams are used to working collaboratively with senior stakeholders in a complex environment. The Role and Deliverables • Take ownership of existing pricing models and analysis, picking up work mid-stream, • Operationalise a defined customer value-based pricing strategy, • Support day-to-day delivery to ensure progress through a key execution phase, • Validate, assess and report on the impact of pricing tests and performance, • Partner closely with a Senior Pricing Analyst and Central Planning to deliver clear outcomes, • Develop practical tools and frameworks to measure impact and enable informed pivots Your Skills & Experience • Strong experience working as a pricing or commercial analyst in a fast-paced environment, • Advanced Excel capability, with confidence interrogating complex pricing models, • Strong SQL skills, including experience with Snowflake or similar cloud data warehouses, • Comfortable working with incomplete documentation and extracting insight from existing work, • Clear and collaborative communicator, able to operate effectively under pressure, • Experience in retail, e-commerce or consumer-focused businesses is highly desirable, • Exposure to Python or R for analysis or model interrogation is beneficial How to Apply Register your interest by sending your CV to Ananya Gupta via the Apply Link on this page.

Our global SaaS Client are now seeking a Data Analyst to join their team with a focus on customer retention. This role is a unique opportunity to transform reporting, build behavioural analytics, and work across the whole ecosystem lifecycle. This is a hybrid role (2/3 days week) for 13 months with potential to extend. Responsibilities • Building robust data foundations: Collaborate with engineering to develop pipelines, improve data integrity, and establish clear metric definitions, • Build data capabilities that work consistently across multiple regions and countries differences)., • Developing actionable dashboards & reporting: Create and maintain scalable, user-friendly dashboards that provide visibility into key performance metrics., • Delivering deep-dive analytics: Conduct root cause analysis to uncover drivers of customer pain points, digital adoption challenges, and operational inefficiencies., • Translate findings into actionable recommendations that improve customer journeys, optimize staffing and routing decisions, and reduce escalations., • Advancing AI-native analytics: Leverage Gen AI tools to automate recurring insight generation, • Enabling experimentation & continuous improvement: Support A/B testing and digital experience evaluations, • Influencing strategy through storytelling: Communicate insights and trends clearly and persuasively to technical and non-technical stakeholders Experience • 8+ years of experience in Data Analytics or Data Science, ideally with exposure to Customer Success, Operations, or Digital Experience domains, • Proficiency in SQL for data extraction, transformation, and pipeline development, • Experience with dashboarding and visualization tools (Tableau, Qlik, or similar), • Familiarity with big data tools (Snowflake, Databricks, Spark) and ETL processes, • Experience with Python or R for advanced analytics, automation, or experimentation, • Knowledge of statistical methods and experimentation (A/B testing) preferred, • Machine learning and Generative AI experience is a plus, • Proven ability to communicate analytical findings in clear, actionable narratives for both technical and non-technical audiences, • Proactive and growth-oriented mindset—you identify opportunities for innovation rather than just responding to problems Benefits • Friendly supportive team, • Informal dress code, • Global organisation., • Hybrid role.

Our global SaaS Client are now seeking a Data Analyst to join their team with a focus on customer retention. This role is a unique opportunity to transform reporting, build behavioural analytics, and work across the whole ecosystem lifecycle. This is a hybrid role (2/3 days week) for 13 months with potential to extend. Responsibilities • Building robust data foundations: Collaborate with engineering to develop pipelines, improve data integrity, and establish clear metric definitions, • Build data capabilities that work consistently across multiple regions and countries differences)., • Developing actionable dashboards & reporting: Create and maintain scalable, user-friendly dashboards that provide visibility into key performance metrics., • Delivering deep-dive analytics: Conduct root cause analysis to uncover drivers of customer pain points, digital adoption challenges, and operational inefficiencies., • Translate findings into actionable recommendations that improve customer journeys, optimize staffing and routing decisions, and reduce escalations., • Advancing AI-native analytics: Leverage Gen AI tools to automate recurring insight generation, • Enabling experimentation & continuous improvement: Support A/B testing and digital experience evaluations, • Influencing strategy through storytelling: Communicate insights and trends clearly and persuasively to technical and non-technical stakeholders Experience • 8+ years of experience in Data Analytics or Data Science, ideally with exposure to Customer Success, Operations, or Digital Experience domains, • Proficiency in SQL for data extraction, transformation, and pipeline development, • Experience with dashboarding and visualization tools (Tableau, Qlik, or similar), • Familiarity with big data tools (Snowflake, Databricks, Spark) and ETL processes, • Experience with Python or R for advanced analytics, automation, or experimentation, • Knowledge of statistical methods and experimentation (A/B testing) preferred, • Machine learning and Generative AI experience is a plus, • Proven ability to communicate analytical findings in clear, actionable narratives for both technical and non-technical audiences, • Proactive and growth-oriented mindset—you identify opportunities for innovation rather than just responding to problems Benefits • Friendly supportive team, • Informal dress code, • Global organisation., • Hybrid role.

Test Manager – TA/FA - London Atrium Global are looking for an accomplished Test Manager to manage testing for the TA (Transfer Agency) or FA (Fund Accounting) multi-jurisdiction onboarding for a large EMEA client, working as part of the Client Onboarding team • Some Non-standard/New process implementations/build testing, • Testing will involve informational interfaces Between Back Office/Vault (Snowflake), Front & Middle office, including external stakeholders, • Participation in meetings and co-ordination of file delivery and data content queries, • Managing testing tollgate requirements, • Planning and Managing Onboarding testing with Platform teams, • Working with internal Product (including Technical), Operational and Project Lead resources, • Documenting and tracking test plan, • Co-ordinating with internal & external resources re activity & queries Data Vault, • Co-ordinating with the Vault team regarding file build & testing alignment with the requirements within the testing plan, • Defect management and co-ordination, • Prepare test plan (Aligned to wider program plan) and organise any internal tollgate sign offs, • Liaison with workstream leads, operational teams and Program manager, • Monthly travel to Dublin, Luxembourg and Germany, • 3/4 days onsite in London Essential: • Test manager/oversight experience, • Test functionality, • Make sure all tests meet FA standards, • Flesh out the test approach, • Strong test Governance documentation, • Defect management, • Snowflake and databricks – to move data, • Good understanding of Back-office functions, • Transfer Agency/ TA knowledge across EMEA, • Fund accounting / FA knowledge across EMEA, • Back-office function onboarding experience., • Align all test resources: human or systemic Click Apply now, to be considered for the Test Manager – TA/FA – London role

Location: London (3 days in office, per week) Length: 6 months Determination Status: Inside I535Start Date: June 8th (ideally) I'm looking to speak with London-based Senior Data Engineers with plenty of experience building pipelines and data warehouses to support in the end-to-end delivery of an enterprise data platform for a (re)insurance business. Tech Stack: • Strong skills in DBT & Snowflake, • AWS Cloud Native Skills, • Familar with CI/CD, • Power BI / TableauNice to have:, • Matillion / SNP / Glue / Fivetran, • NoSQl (Cosmos / DynamoDB experience), • Reinsurance domain knowlege or relevant Lloyd's & London Insurance experience.Please apply now, and reach out to Adam Akhtar at Opus for futher information.

Data Architect 6-Month contract - Inside IR35 - up to £700 per day London based - hybrid working - 2/3 days onsite Candidates must hold current and active SC Clearance We are seeking a Data Architect to lead the design and delivery of secure, cloud-based data platforms for the client. The role combines architectural strategy with delivery oversight - shaping target-state architectures while ensuring they are implemented pragmatically within regulated, security-conscious environments. This position will suit an architect who can move comfortably between traditional enterprise data approaches and modern patterns such as lakehouse, streaming, data mesh and ML-enabled platforms - and who values clarity, governance and technical rigour. Candidates must hold activeSC clearance. What experience you'll bring: Leadership: • Recent experience as a Lead Data Architect / Data Solutions Architect or equivalent senior role., • Ability to build relationships and operate at a senior stakeholder level with clients., • Demonstrated ownership of end-to-end data platform design and delivery., • Experience operating in consulting, systems integration, or delivery partner roles., • Experience working within the Government sector strongly preferred. Modern and Enterprise Data Architecture: You should have practical architecture experience across both established enterprise approaches and modern data patterns, including: • Azure data systems (must have)., • Oracle / AWS experience is ideal., • Knowledge of Databricks and Snowflake is ideal., • Experience of large-scale data migration programmes., • Data lake and lakehouse architectures., • Event-driven and streaming architectures., • Data Mesh and/or Data Fabric principles (applied pragmatically, not theoretically)., • Data product-oriented design approaches. You understand where traditional patterns remain appropriate - and where modern approaches add measurable value. Data Engineering & Platform Understanding: • Strong knowledge of distributed processing (e.g. Apache Spark)., • Familiarity with Hadoop ecosystem components., • Working knowledge of SQL and NoSQL technologies., • Understanding of ETL/ELT design trade-offs., • Awareness of DevOps practices and CI/CD for data platforms., • Understanding of how ML/AI workloads integrate into data architectures. Hands-on coding ability (e.g. Python, Java, R) is beneficial but not required. Governance, Security and Data Management • Experience leading a discovery phase for a data transformation programme., • Experience designing within structured architectural governance frameworks., • Familiarity with government assurance processes and design authorities., • Strong understanding of data governance frameworks and metadata management., • Experience designing for GDPR and UK public sector data protection requirements., • Appreciation of infrastructure considerations and security boundaries in regulated cloud environments. Stakeholder Engagement • Ability to influence architectural direction at senior stakeholder level., • Clear and structured communicator - able to explain trade-offs and risks., • Experience leading and mentoring architects and engineers., • Comfortable operating within programme governance structures., • Familiarity with Agile delivery models (SAFe, Scrum, Kanban). Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change.

Senior Data Scientist (Growth / GTM / Analytics) - Global Software Business - London Rate: £407 per day (Inside of IR35) Duration: 12 months Overview • We are looking for a commercially minded Senior Data Scientist to drive data-led growth across a global, subscription-based business., • This role focuses on identifying untapped market opportunities, improving customer targeting, and enabling data-driven go-to-market strategies., • You'll work at the intersection of Data Science, Sales, Marketing, and Strategy, translating complex data into actionable insights that directly impact revenue growth. Key Responsibilities Market Opportunity & Revenue Modelling • Develop models to quantify market opportunity (e.g. TAM/SAM) and identify whitespace across global segments, • Analyse customer and market data to uncover untapped revenue potential, • Deliver insights to support strategic planning and growth initiatives Customer & Growth Analytics • Build and deploy propensity models to improve acquisition, upsell, and retention, • Develop customer segmentation frameworks to enhance targeting and campaign effectiveness, • Partner with commercial teams to optimise go-to-market strategies and sales performance Data Science & Modelling • Design, develop, and iterate on predictive models that drive measurable business impact, • Apply statistical and machine learning techniques to large, complex datasets, • Ensure models are scalable, interpretable, and aligned with business needs Data Collaboration & Enablement • Work closely with Data Engineering teams to productionise models and analytics workflows, • Leverage internal and external datasets to build rich customer intelligence, • Contribute to best practices in data quality, governance, and model monitoring Stakeholder Engagement • Translate complex analyses into clear, actionable insights for senior stakeholders, • Present recommendations to influence commercial strategy, pricing, and product decisions, • Act as a trusted partner across technical and business teams Skills & Experience • Strong experience in data science or advanced analytics roles (typically 5+ years), • Advanced SQL skills with experience working on large-scale datasets (e.g. Databricks, Snowflake, BigQuery), • Proficiency in Python for data analysis, modelling, and experimentation, • Experience building predictive models (e.g. propensity modelling, segmentation, forecasting), • Demonstrated ability to deliver data-driven solutions that impact revenue or growth, • Strong communication skills with the ability to influence non-technical stakeholders, • Experience working cross-functionally with Sales, Marketing, Product, or Strategy teams Nice to Have • Experience in SaaS, subscription-based, or platform businesses, • Exposure to pricing strategy, go-to-market planning, or commercial analytics, • Familiarity with market sizing methodologies, • Experience integrating third-party datasets What We're Looking For • A commercially focused data scientist who prioritises business impact, • Someone comfortable working in ambiguous, fast-paced environments, • A strong communicator who can bridge data, technology, and business strategy Why Join • High-impact role with direct influence on revenue growth and strategic decisions, • Opportunity to work on complex, global data challenges, • Collaborative environment across data, product, and commercial teams Please do send across an up to date CV to *Rates depend on experience and client requirements

DATA PRODUCT MANAGER UP TO £80,000 LIVERPOOL STREET, LONDON OVERVIEW We are hiring a Data Product Manager to join a fast-growing, PE-backed telecommunications business undergoing a major data transformation. This is a high-visibility role focused on shaping and delivering data products that support commercial growth, analytics enablement, real-time data, and AI use cases across multiple markets. THE COMPANY Our client is a rapidly scaling telecommunications business with significant investment in Digital, Data, and Analytics. The data function is mature, highly regarded, and central to future growth. The business is investing in a modern data platform, including next-generation data lake capabilities, real-time analytics, AI-enabled use cases, and improved self-service reporting. RESPONSIBILITIES • Own the end-to-end lifecycle of data products, from discovery to delivery and iteration, • Define and manage the data product roadmap, • Act as the link between business stakeholders, data engineering, analytics, and technology teams, • Translate commercial and technical requirements into scalable data solutions, • Support delivery of modern data platform initiatives, including real-time data capabilities, • Enable analytics and market teams to self-serve data more effectively, • Support use cases across customer insight, churn, ARPU, profitability, and network optimisation, • Communicate product updates, priorities, and roadmap progress to stakeholders, • Support incident management and platform-related administration where required SKILLS AND EXPERIENCE • 3-5 years' experience in data-focused roles, • Strong hands-on experience with Databricks, • Experience with modern data platforms such as Synapse, Snowflake, BigQuery, or Redshift is beneficial, • Background in data product, data engineering, business analysis, analytics, or platform delivery, • Strong understanding of how data platforms support business outcomes, • Excellent communication and stakeholder management skills, • Confident, commercially minded, and able to challenge where needed, • Consultancy or data transformation experience would be highly attractive

Data Engineer - Databricks - AWS - London (Hybrid) - Up to £65,000 This is an opportunity to join a fast-growing analytics and technology business operating across the sports, media and entertainment space. The company is scaling rapidly following recent growth, with data at the centre of how it drives performance, commercial outcomes and strategic decision-making. You'd be joining a business where data matters, projects are high-profile and your work has visible impact, across well-known organisations and brands. It's a collaborative, ambitious environment that appeals to engineers who want ownership, variety and progression as the company continues to grow. You will work with • Modern cloud-based data platforms with a strong focus on Databricks and AWS, • Cross-functional teams including analysts, data scientists, and business stakeholders, • Analytical workloads supporting performance, commercial, and strategic use cases, • Scalable, production-grade data pipelines and cloud infrastructure Responsibilities • Build and maintain reliable, scalable data pipelines, • Manage and optimise cloud storage and data warehousing, • Ensure data quality, security, lineage, and maintainability, • Design and implement analytical data models to support reporting and advanced analytics, • Balance batch and streaming ingestion approaches based on use case requirements, • Contribute to engineering best practices including testing, CI/CD and documentation Benefits • Salary up to £65,000, • Hybrid working (2 days per week in London), • Join a scaling, high-growth business with strong technical investment, • Work on modern data platforms with real-world impact, • Collaborative culture with scope to learn, influence, and progress Key Experience • Strong SQL and Python, including query optimisation and window functions, • Hands-on experience with Databricks and Spark, • Strong understanding of data modelling (3NF, dimensional modelling, star/snowflake schemas, data vault concepts), • Experience designing and operating ELT/ETL pipelines, • Familiarity with data quality frameworks, SLA monitoring and lineage tracking, • Experience with Snowflake and dbt, • Proficiency with AWS, • Experience with version control, CI/CD and testing, • Comfortable working in Agile environments (Jira, Confluence), • Proactive, collaborative mindset with a willingness to learn, • Interest in sport, media, or entertainment is a strong plus Apply now!

Data Platform Manager London Up to £85,000 This is a high impact opportunity for a Data Platform Manager to take genuine ownership within a business that sees data as a core commercial driver. You will play a key role in shaping and managing a modern enterprise data platform, supporting large scale analytics, AI, and self service capabilities across international markets. The Company They are a fast growing, value driven telecommunications business focused on scaling through digital, data, and analytics. Data and analytics are viewed as critical to long term enterprise value, with ongoing investment into real time data, AI enabled use cases, and self service analytics. The Role • Own and manage the strategic direction of the enterprise data platform, ensuring it is scalable, reliable, and aligned to business priorities, • Drive platform roadmap planning and continuous improvement initiatives across data infrastructure, tooling, governance, and operational processes, • Work closely with data engineering, analytics, architecture, and business teams to deliver a high performing and accessible data environment, • Oversee the management and optimisation of the Databricks platform and wider cloud data ecosystem, • Promote best practice across platform architecture, data governance, security, monitoring, and operational support, • Support platform ownership responsibilities including incident management, service performance, and operational governance, • Enable scalable self service analytics capabilities for business users and market teams, • Collaborate with senior stakeholders to prioritise platform enhancements and communicate progress, risks, and outcomes clearly, • Ensure the platform supports evolving analytics, reporting, and AI driven use cases across the organisation Your Skills & Experience • Strong commercial experience managing or developing modern cloud based data platforms, • Hands on exposure to Databricks, with the ability to challenge and guide technical decisions, • Broader understanding of cloud data ecosystems, with exposure to platforms such as Azure Synapse Analytics or Snowflake being beneficial, • Strong understanding of data platform architecture, governance, scalability, and operational management, • Comfortable working across engineering, analytics, architecture, and business teams, • Confident communicator able to influence senior stakeholders and manage complex discussions, • Experience supporting large scale data platform, data warehouse, or data lake transformation programmes, • Understanding of enabling self service analytics and improving platform adoption across a business, • No sponsorship offered How to Apply If you are looking for an Analytics Engineer role where you can shape a data platform from the ground up in a creative, globally operating organisation, please apply to learn more.

Job Title: Snowflake Data Architect Salary: Paying up to £90,000 per annum Location: Wembley London - 5 days on-site Our client, a well-established and diversified multinational organisation, is seeking a Snowflake / Data Architect to join their team. Skills • Solid experience in Data Engineering or Data Architecture, with a minimum of 4 years specialising in Snowflake platform design and governance., • Data Architecture: Mastery of Data Warehouse design methodologies - Inmon, Kimball, and Data Vault 2.0 - with the judgement to apply the right pattern for the right use case., • Technical Skills: Expert SQL and Python; hands-on experience with dbt (data build tool) or equivalent transformation frameworks., • AWS Integration: Solid understanding of AWS IAM, S3 data lake patterns, and PrivateLink for cross-cloud data connectivity., • AI Readiness: Practical experience architecting data infrastructure for AI/ML consumption - vector databases, embedding stores, and RAG pipeline integration., • Soft Skills: Strong interpersonal skills; ability to translate complex data architecture into clear language for Business Analysts and non-technical stakeholders. Duties • Data Modelling Standard: defining Star Schema patterns, Snowflake object hierarchies, and modelling conventions that serve as the Group-wide standard for all data products., • Cross-Cloud Orchestration: Design and implement secure, high-throughput data pipelines connecting AWS S3 and Azure APIs through Snowflake - ensuring data integrity, lineage tracking, and end-to-end auditability., • Snowflake Governance: Own the full security model for the Snowflake platform - RBAC policy design, dynamic data masking, row-level security, and comprehensive audit logging across all environments., • FinOps for Data: Monitor Snowflake credit consumption patterns, identify and remediate high-cost query anti-patterns, and implement warehouse scheduling strategies to reduce operational data spend., • AI Readiness: Architect data stores purpose-built for LLM consumption - including vector databases, embedding pipelines, and RAG-compatible data structures that will serve as the foundation for Bestway's AI product layer., • Data Contracts: Partner with Business Analysts to formally define and document 'Data Contracts' between systems - creating clear, agreed interfaces between producers and consumers across the data platform.

DATA PLATFORM MANAGER UP TO £90,000 LIVERPOOL STREET, LONDON OVERVIEW We are hiring a Data Product Manager to join a fast-growing, PE-backed telecommunications business undergoing a major data transformation. This is a high-visibility role focused on shaping and delivering data products that support commercial growth, analytics enablement, real-time data, and AI use cases across multiple markets. THE COMPANY Our client is a rapidly scaling telecommunications business with significant investment in Digital, Data, and Analytics. The data function is mature, highly regarded, and central to future growth. The business is investing in a modern data platform, including next-generation data lake capabilities, real-time analytics, AI-enabled use cases, and improved self-service reporting. RESPONSIBILITIES • Own the end-to-end lifecycle of data products, from discovery to delivery and iteration, • Define and manage the data product roadmap, • Act as the link between business stakeholders, data engineering, analytics, and technology teams, • Translate commercial and technical requirements into scalable data solutions, • Support delivery of modern data platform initiatives, including real-time data capabilities, • Enable analytics and market teams to self-serve data more effectively, • Support use cases across customer insight, churn, ARPU, profitability, and network optimisation, • Communicate product updates, priorities, and roadmap progress to stakeholders, • Support incident management and platform-related administration where required SKILLS AND EXPERIENCE • 3-5 years' experience in data-focused roles, • Strong hands-on experience with Databricks, • Experience with modern data platforms such as Synapse, Snowflake, BigQuery, or Redshift is beneficial, • Background in data product, data engineering, business analysis, analytics, or platform delivery, • Strong understanding of how data platforms support business outcomes, • Excellent communication and stakeholder management skills, • Confident, commercially minded, and able to challenge where needed, • Consultancy or data transformation experience would be highly attractive

Senior Data Engineer Up to £75,000 + benefits London (Hybrid - 2 days onsite) We are seeking a Senior Data Engineer to join a fast-growing, analytics-focused environment operating at the intersection of sport and technology. You will play a key role in architecting and evolving scalable data infrastructure that supports decision-making from performance on the field through to commercial strategy off it. Working with large, complex datasets and modern cloud technologies, you will help design and deliver robust data solutions in a high-impact, fast-paced setting. This role sits within a collaborative, cross-functional team working closely with analysts, data scientists and stakeholders to deliver advanced analytics and modelling solutions across the sporting ecosystem. This opportunity is ideal for someone who enjoys leading technical design, mentoring others and driving best practices within delivery-focused environments, while applying their expertise in a unique and high-growth domain. Responsibilities • Architect robust, scalable data infrastructure and workflows, • Lead technical design and support ongoing platform evolution, • Drive best practices across data engineering, performance and reliability, • Mentor engineers and promote a culture of operational excellence, • Build and maintain scalable, reliable data pipelines, • Ensure data quality, integrity and security across data platforms, • Work closely with cross-functional teams to deliver impactful data solutions Skills and Experience • Strong experience in a Data Engineering or similar role, • Expertise in distributed data architecture and orchestration, • Strong experience with AWS services (S3, Glue, Redshift, Lambda, Step Functions, Kinesis), • Hands-on experience with tools such as Databricks or Snowflake, • Strong SQL and Python skills, including advanced query optimisation and window functions, • Experience designing star and snowflake schemas for analytical workloads, • Solid understanding of data modelling principles What's on Offer • Salary up to £75,000, • 25 days holiday plus extended Christmas/New Year break, • Private medical care, • Collaborative, delivery-focused team culture, • Hybrid working model (London-based with 2 days onsite) This is a brief overview of the opportunity. To learn more, simply apply with your CV and we'll be in touch to discuss the role in more detail.

🚀 Senior Data Engineer (Cloud Data Platform / Lakehouse) We’re hiring a Senior Data Engineer to build and scale a global cloud-native Data Lakehouse platform powering quantitative research and trading analytics at massive scale. 💡 What you’ll do • Build & evolve a large-scale Data Lakehouse (AWS), • Develop Python-based data pipelines for high-volume financial data, • Design OLAP / distributed data models for analytics & trading use cases, • Optimise performance across multi-region data platforms, • Ensure data quality, reliability, and consistency at scale, • Partner with quants, researchers, and traders on critical data products 🧠 What we’re looking for • Strong Python + SQL (essential), • 5+ years in data engineering / platform engineering, • AWS experience in production data environments, • Hands-on with Spark / Kafka / Snowflake / Databricks (or similar), • Experience with data lakes / lakehouse / distributed systems, • Background in financial services, trading, or quantitative environments

A global lifestyle brand is seeking an Marketing Data Scientist to support its global marketing effectiveness strategy. In this role, you will help expand and optimise data science models across markets, delivering insights that guide smarter media investment and drive performance across channels. Responsibilities • Develop and maintain marketing models to measure channel performance, • Analyse multi-channel marketing data to identify performance drivers and ROI, • Support model rollout in new countries and monitor ongoing performance, • Collaborate with marketing, analytics, and data engineering teams to ensure accurate data inputs, • Continuously refine modelling approaches and explore new methodologies, • Translate complex modelling outputs into clear, actionable insights, • Present findings to senior stakeholders through compelling storytelling, • Build dashboards and visualisations to monitor marketing performance, • Contribute to optimising media planning using MMM outputs Requirements • Experience in econometric modelling and advanced analytics, • Strong Python/SQL skills are essential, • Familiarity with MMM and MTA tools (e.g., PyMC, Robyn, Meridian), is preferred, • Understanding of marketing channels, metrics, and retail/luxury environments, • Experience with cloud platforms (AWS, GCP, Snowflake), • Ability to work cross-functionally and communicate complex concepts clearly, • Knowledge of incrementality testing (e.g., GeoLift) is a bonus Details • Start date: ASAP, • Contract: 12 Month FTC, • Salary: £70,000-£80,00 per annum, • Location: Hybrid, 2-3 days per week in London

Senior BI Engineer (Fixed-Term Contract) Fully Remote, UK £65,000 pro rata, 8-month FTC This is an opportunity to take ownership of a modern BI and analytics environment within a globally scaled, data-driven organisation. You will play a key role in shaping how data is modelled, visualised, and consumed across the business, with direct exposure to senior stakeholders and meaningful impact from day one. The Company They are a technology-led organisation operating at global scale, enabling businesses to make better decisions through high-quality data and insights. Data sits at the core of everything they do, supporting commercial strategy, product development, and performance measurement. With a strong culture of collaboration and innovation, they invest heavily in their data platform and analytical capability. The Role • Design, build, and maintain scalable data models and automated ETL or ELT pipelines within a cloud data warehouse environment., • Lead the development of executive-level dashboards and self-serve reporting solutions that balance clarity with analytical depth., • Partner with stakeholders across non-technical teams to define KPIs and translate business questions into robust analytical solutions., • Establish best practices around data governance, documentation, and quality to ensure a trusted single source of truth., • Optimise SQL queries and BI assets to deliver high-performing, low-latency analytics at scale., • Provide technical guidance through code reviews and mentorship, raising standards across data modelling and visualisation. Your Skills and Experience • Strong commercial experience in BI engineering, analytics engineering, or data engineering within a modern data stack., • Advanced SQL capability, including complex transformations, window functions, and performance optimisation., • Proven experience working with cloud data warehouses such as Databricks, Snowflake, or BigQuery., • Deep understanding of dimensional modelling techniques and tools such as dbt., • Hands-on expertise with enterprise BI platforms, such as Power BI, Looker or Omni., • Ability to communicate complex technical concepts clearly to both technical and non-technical audiences.

💡 Role Overview We’re hiring our first engineer dedicated to internal go-to-market and operations systems. This is a foundational role where you’ll design and build an AI-first internal stack from scratch, enabling Sales, Finance, Ops, and Customer Success to operate at maximum velocity. You’ll have end-to-end ownership across tooling, data, and automation; shaping not just systems, but how the company runs. In this role, you will: • Architect and implement an AI-native internal tech stack, influencing infrastructure decisions and long-term direction, • Rapidly ship internal tools and workflows, iterating directly with teammates who use them daily, • Build and maintain our data warehouse and internal data architecture, • Develop automation systems leveraging LLMs, agents, and modern AI tooling, • Help define engineering standards and culture as we scale 🔥 About You We’re looking for someone who genuinely enjoys building tools that make commercial teams faster and more effective. You likely: • Have led projects independently from idea to production, and are comfortable collaborating with multiple senior stakeholders, • Communicate clearly and can translate ambiguous business needs into structured technical solutions, • Are familiar with commercial and operational tooling such as Notion, Slack, Retool, Amplitude, Stripe (or similar ecosystems), • Sales, Finance, Ops, and Customer Success teams will rely on you to improve efficiency and introduce AI-driven workflows, • Are highly proficient in PostgreSQL and at least one major data platform (e.g., Snowflake, BigQuery, Databricks, Firebolt), • Experience with Node.js and TypeScript is a plus, • Thrive in fast-paced startup environments and feel energized by ambiguity, • Move quickly and constantly look for ways to ship faster Bonus: Experience designing or building AI-powered internal tools or automation systems. 🚀 Why Join Us • Autonomy with mentorship: You’ll be the first London-based engineer with high ownership, while receiving guidance from a senior engineering team in NYC. You’ll travel to NYC for onboarding and project collaboration., • Exceptional traction: 10× revenue growth in 2025, profitable, and trusted by leading firms including MBB, Big 4, and top-tier mega-funds., • Flat structure: Minimal layers between you and leadership. Direct access to the CTO and CEO, with meaningful responsibility from day one.

Novatus is a Series B scale-up RegTech SaaS provider and boutique advisory practice, enabling financial services firms to solve complex challenges and redefine what’s possible through expert-led technology and consulting. Across both our technology and consulting services, Novatus delivers practical solutions to some of the most complex regulatory, data and operational challenges in financial services. Our SaaS platform, En>ACT (short for Ensuring Accurate, Complete and Timely reporting), is a market-leading solution for regulatory transaction reporting and reconciliation, providing real-time, independent oversight of transaction reporting across all global regulatory regimes. En>ACT is the only real-time assurance solution that tests 100% of transactions and 100% of fields, replacing sample-based reviews and static PDF reports delivered months after the event with live, actionable insights. This helps firms remediate quickly, reduce risk, and meet regulatory obligations with confidence. Already trusted by more than 45 firms worldwide, the platform is scalable, proven, and designed for both business and technical users. Alongside our SaaS offering, our unique model delivers consulting services to solve complex challenges, combining deep expertise, ownership and delivery to create lasting change. Our expertise spans Strategy & Operations, Data & AI, Risk & Resilience, Compliance, Transaction Reporting, and ESG. We embed ourselves within client teams to deliver both insight and execution, taking ownership of outcomes and driving measurable impact. Since our launch in 2019, we have scaled rapidly, creating space for our people to grow the business. Backed by North American private equity investment, and partnerships with the London Stock Exchange Group and Snowflake’s global data platform, we are shaping the future of financial services through innovation in both consulting and technology. Now a team of 120 globally, our growth plans do not stop here: we are looking for top-tier talent to join us on our journey and enable our next phase of success. Senior Onboarding Engineer | 6 month Contract Novatus HQ - 2 London Wall Place, EC2Y 5AU Hybrid working: 4 days in the office and 1 WFH. Job Overview: As Novatus continues to grow and expand, we are looking to hire an experienced Senior Onboarding Engineer to our onboarding engineering team on a 6-month contract. This role is critical to the successful implementation of the En>ACT platform for our clients. The successful candidate will work closely with clients, product teams and internal stakeholders to onboard new institutions onto the platform, translate complex data requirements into scalable technical solutions, and ensure high-quality delivery across implementation projects. This is an excellent opportunity for an experienced engineer who enjoys solving complex data problems, working directly with clients, and contributing to a fast-growing technology platform within a dynamic and forward-thinking organisation. Key Responsibilities • Lead technical onboarding and implementation projects for new clients adopting the En:ACT platform., • Design and build data ingestion and transformation pipelines in Python for large-scale financial datasets., • Improve reliability and performance of the onboarding data pipeline through automation, testing and observability., • Mentor team members and continuously improve team processes., • Champion AI tooling adoption across the engineering team, helping establish norms for AI-assisted development., • Collaborate with business analysts, implementation managers and client technical teams to understand client data and reporting requirements. About You: Required Experience: • Strong software engineering fundamentals including OOP, clean code, automated testing, CI/CD and observability., • Fluent in python and the python data ecosystem (e.g. pandas)., • Experience building large and complex data pipelines in regulated or high-integrity environments., • Solid fundamentals in data modelling, SQL and database design., • Ability to work effectively with a high degree of autonomy and accountability., • Comfortable translating regulatory requirements into technical specs with non-engineering stakeholders. Nice-to-haves: • Experience working with AWS-based data infrastructure., • Experience with modern data platforms such as Spark, Databricks or Snowflake., • FinTech, RegTech, or financial services background. Why Join Us? Work Across Disciplines: You won't be confined to a single track- you will develop a broader skillset across our capabilities and offerings. Solve Problems that Matter: Work on complex challenges, where your thinking, analysis, and execution have real impact. Flat, Visible, Collaborative: We keep the structure flat, so you can collaborate directly with senior leaders and experienced specialists. Your work is visible, your perspectives are valued, and you will see the impact of your contributions every day. A Place for Builders: This is a great place for people who enjoy driving results and taking ownership. If you are driven to add value and help grow our business, you will enjoy a rewarding experience that recognises your contributions. Novatus’ Equal Opportunities Statement: Novatus is an Equal Opportunity Employer. All employment decisions are made based on business needs, role requirements, and individual qualifications, without regard to race, age, religion or belief, sex, sexual orientation, gender identity or expression, marital or civil partnership status, pregnancy or maternity, socioeconomic background, disability, or any other characteristic protected under the Equality Act 2010. We maintain a workplace culture that is inclusive, respectful, and supportive. Our recruitment and selection processes are designed to ensure fairness and consistency for all candidates. Reasonable adjustments are available throughout the application and interview process, and candidates are encouraged to contact Human Resources to discuss any specific requirements. This commitment is embedded in all aspects of our employment practices, including recruitment, compensation, professional development, promotion, and workplace conduct.

Senior Software Engineer Location: London, UK Working Environment: Hybrid (2 days on-site per week) The company is a leading financial data and analytics company and looking to hire a Senior Software Engineer with experience of working on the development of cloud databases. The business processes large-scale market data and delivers historical datasets and analytics products to institutional clients globally. This role focuses on building and maintaining systems that efficiently distribute data to customers across multiple delivery methods. You will contribute to the design, development, automation, and reliability of data infrastructure and workflows, whilst working in close collaboration with product and operations teams. Key Responsibilities • Design, analysis and implementation of features in the data distribution platform., • Ensure system reliability by implementing company and industry best practices., • Implement workflow management software to automate operational tasks and optimize the utilisation of infrastructure and applications., • Design and implement CI/CD workflows to maintain software quality via continuous and automated deployment and testing., • Evaluate and adopt relevant technologies and tools Key Requirements • Degree in computer science or other STEM degree plus relevant programming experience., • 6+ years of experience in software engineering, with proficiency programming in Python on Linux., • Experience working with AWS and Docker., • Experience with Databricks and/or Snowflake Desired, but not essential: • Experience with C/C++ or Java, • Knowledge of database optimisation and administration

DevOps & Release Engineer | AWS, Serverless, CI/CD | Music Technology Organisation • Salary: up to £55k + 10% annual bonus, • Hybrid: Central London (3 days office / 2 days remote), • Permanent full-time position We’re working with a long-established organisation that provides critical technology and data services to the music industry. Their platforms process millions of transactions every year, helping ensure artists, performers and rights holders are paid accurately when music is used around the world. With around 250 employees and a 40-50 person technology function, they've built a reputation for taking a thoughtful, long-term approach to both technology and people. The business combines the stability of an established organisation with the kind of technical challenges you'd normally expect to find in a much larger technology company. This role sits within a DevOps team of three, reporting into the DevOps Manager and supporting an AWS-first estate that has been evolving for more than a decade... Non-Negotiables • AWS, • CI/CD Pipelines, • Strong communication and stakeholder management skills What You'll Work With • AWS Lamba, • AWS Step Functions, • AWS SNS & SQS, • AWS ECS, • CloudFormation, • Jenkins, • Bitbucket (around 500 microservice repositories), • Docker, • Linux, • Snowflake Nice to Haves • Python, • Bash, • Ansible, • PostgreSQL, • DynamoDB, • Elasticsearch, • Salesforce deployment experience, • Interest in music or media Why Join The hiring manager started 15 years ago on the internal help desk and has moved through seven or eight roles since. That tells you most of what you need to know about how this place treats people who stick around. Promotion from within is the default when there's scope, and the DevOps team is small enough that no two days look the same. There's a real modernisation thread running through the work. The business has just moved from long project cycles to a product roadmap model, and tools built for the old way don't all fit the new one. The team is actively reshaping the estate, and you'd have meaningful input into that. Employee Benefits • 10% annual bonus, • Pension, • Private medical insurance, • Cycle-to-work scheme, • £120 a year music benefit (Spotify, headphones, a guitar amp, anything music-related), • Length of service uplifts on holiday, • Ongoing training and development, • Strong internal progression opportunities DevOps & Release Engineer | AWS, Serverless, CI/CD | Music Technology Organisation

Circadia Health is a growth‑stage healthcare AI company on a mission to prevent avoidable hospitalizations and transform senior‑care operations. Our Circadia Intelligence Platform combines: • Contactless sensing that monitors respiration and motion with medical‑grade accuracy, • Predictive analytics & agentic AI workflows that detect 85 % of preventable rehospitalizations ~11 days in advance, • Enterprise integrations that embed insights directly into EHR, care‑coordination, billing, and compliance systems Today our technology touches 40,000+ post‑acute patients daily across skilled‑nursing, home‑health, and home‑care networks. We are backed by leading healthcare and AI investors like Khosla Ventures, Village Global, Headline, Eric Yuan (CEO of Zoom), and others. Position Overview As an ML Ops Engineer at Circadia Health, you will own the infrastructure and operational lifecycle of the machine learning systems that power our clinical monitoring platform. You will build and maintain the production ML pipelines, deployment infrastructure, and monitoring systems that enable Circadia's predictive models to identify early signs of clinical deterioration. Reporting to the Principal ML Engineer, you will work across ML, backend, data, and clinical teams to ensure models are reliably trained, versioned, deployed, and monitored in both cloud and edge environments. You will be a key driver in elevating Circadia's ML practice – from reproducibility and experiment tracking to CI/CD for models and operational observability. This is a high-ownership role at a lean company where production reliability, rapid iteration, and pragmatic engineering are essential. Your work will directly impact patient outcomes by ensuring our predictive models are always running, always accurate, and always improving. Key Responsibilities ML Pipeline Orchestration & Automation • Own and extend Circadia’s ML pipeline orchestration using Apache Airflow, including training, evaluation, and deployment workflows., • Build and maintain automated pipelines for model retraining, validation, and promotion across development, staging, and production environments., • Implement pipeline monitoring, alerting, and failure recovery to eliminate silent failures and ensure operational reliability., • Design pipeline architectures that support rapid experimentation while enforcing production-grade reproducibility. Model Deployment & Serving • Deploy and manage ML models on AWS infrastructure (e.g. AWS Batch for batch inference workloads)., • Support deployment of models to edge devices, including Circadia’s clinical monitoring hardware, working with firmware and embedded engineering teams as needed., • Manage model versioning, promotion, and rollback workflows through the MLflow model registry., • Evaluate and implement strategies for safe model rollouts (e.g. shadow deployments, canary releases) as the platform matures. Experiment Tracking & Model Registry • Maintain and improve the MLflow-based experiment tracking and model registry infrastructure., • Establish conventions for experiment logging, artifact storage, model metadata, and lineage tracking., • Enable ML engineers to move seamlessly from experimentation to production deployment with minimal friction. Data & Model Versioning • Implement and maintain training data versioning and dataset management practices to ensure reproducibility of model training runs., • Track dataset lineage, labeling provenance, and feature dependencies alongside model versions., • Collaborate with ML engineers and data engineers to formalise dataset release and validation workflows. Monitoring, Observability & Data Quality • Build monitoring systems for model performance in production, including data drift detection, prediction quality tracking, and alerting on degradation., • Implement operational dashboards for pipeline health, compute utilisation, and deployment status., • Collaborate with data engineering to ensure upstream data quality and pipeline reliability for ML feature inputs., • Develop incident response procedures and runbooks for ML system failures. Infrastructure & Cost Optimisation • Manage and optimise AWS compute resources (Batch, EC2, or similar) used for model training and inference., • Design infrastructure-as-code solutions for reproducible ML environments., • Drive cost optimisation across ML compute, storage, and data transfer., • Support Snowflake integrations for feature generation and training data pipelines. Elevating ML Practice • Introduce and champion ML engineering best practices including CI/CD for models, automated testing for ML pipelines, and reproducible training workflows., • Build internal tooling and templates that accelerate the ML development-to-production cycle., • Document operational processes, architecture decisions, and onboarding materials for the ML platform., • Participate in architecture discussions and technical planning to ensure ML systems scale with Circadia’s growth. Security & Compliance • Ensure all ML pipelines and infrastructure meet healthcare security and privacy requirements, including HIPAA and SOC 2., • Apply best practices for handling Protected Health Information (PHI) in training data, model artifacts, and inference outputs., • Maintain audit trails for model decisions, data access, and deployment history. Attributes Required Qualifications • 4+ years of experience in MLOps, ML Engineering, DevOps, or a closely related infrastructure role., • Strong proficiency in Python for ML pipeline development, tooling, and automation., • Hands-on experience with ML pipeline orchestration tools, particularly Apache Airflow., • Experience with model registries and experiment tracking platforms (MLflow preferred)., • Experience deploying and operating ML workloads on AWS (Batch, EC2, S3, IAM, CloudWatch)., • Solid understanding of the ML lifecycle: training, evaluation, deployment, monitoring, and retraining., • Experience with containerisation (Docker) and infrastructure-as-code., • Proficiency with Git and version control workflows., • Familiarity with SQL and data warehousing platforms (Snowflake preferred)., • Experience implementing monitoring, logging, and alerting for production systems., • Strong debugging and incident response skills for complex distributed systems. Preferred Qualifications • Experience deploying models to edge or embedded devices., • Background in healthcare, medical devices, or clinical data systems., • Familiarity with model serving frameworks (e.g., TorchServe, TF Serving, Triton, or custom solutions)., • Experience with CI/CD systems for ML (e.g., GitHub Actions, Jenkins, or similar)., • Experience with data versioning tools (e.g., DVC, LakeFS, or similar)., • Experience supporting data science or ML research teams in a production context., • Exposure to HIPAA compliance and healthcare security best practices., • Experience with distributed compute frameworks (e.g. Apache Spark, Dask) for large-scale data processing., • Experience with streaming or real-time inference architectures. What You Bring • You take ownership of ML infrastructure end-to-end — from training pipelines to production monitoring., • You care deeply about reliability, reproducibility, and operational excellence in ML systems., • You have strong opinions (loosely held) on how to build a great ML platform, and you’re eager to put them into practice., • You are comfortable working in a startup environment where you’ll wear multiple hats and move fast., • You communicate clearly across engineering, data science, and clinical teams., • You’re motivated by building technology that directly improves patient care. Why Circadia Health Circadia Health is redefining patient monitoring through contactless sensing and AI-driven clinical insights. As we scale from tens of thousands to hundreds of thousands of monitored patients, our data infrastructure is central to everything we do. You’ll have the opportunity to: • Work on real-world healthcare problems with measurable patient impact, • Build data systems that power clinical-grade AI and ML, • Take ownership in a fast-growing, mission-driven company, • Collaborate with a highly skilled, multidisciplinary team.

We are seeking an experienced Data Architect for a contract engagement based in the UK. This is a senior role for someone who brings a strong breadth of data architecture capability — from enterprise data strategy and data modelling through to data governance and platform design — and who can operate effectively across both business and technical domains. The successful candidate will have a solid background in relational database technology, with particularly strong hands-on experience in Oracle, gained through a career rooted in data and application development. They will be expected to lead with data thinking, bring structure and rigour to complex data challenges, and deliver architecture that is pragmatic, scalable, and fit for purpose. Key Responsibilitie sEnterprise Data Architectur • eDefine and evolve the enterprise data architecture, ensuring it supports current business needs and longer-term strategic objectives, • .Design conceptual, logical, and physical data models across OLTP, analytical, and hybrid workloads, • .Establish data architecture standards, reusable patterns, and best practices across the data estate, • .Lead architecture reviews and assessments, identifying risks, technical debt, and opportunities for improvement, • .Produce clear, well-structured architecture artefacts: ERDs, data flow diagrams, data dictionaries, and architecture decision records .Data Modelling & Data Desig • nDesign and govern complex relational data models — both normalised and denormalised — appropriate to the workload and performance requirements, • .Develop dimensional models (star schema, snowflake) to support reporting, analytics, and data warehousing needs, • .Define master data structures, reference data frameworks, and data lineage across interconnected systems, • .Work alongside development and analytics teams to ensure data models translate correctly into implementation .Data Strategy & Governanc • eContribute to and help shape the organisation's broader data strategy, including data platform evolution and data quality improvement programmes, • .Define and embed data governance standards: ownership, lineage, classification, naming conventions, and retention policies, • .Ensure data architecture decisions support data security, privacy, and regulatory compliance requirements, • .Champion data quality at the design stage, embedding controls and validation into data architecture from the outset .Technical Depth & Deliver • yApply strong relational database expertise — particularly in Oracle — to validate, review, and guide technical implementation of data solutions, • .Bring working knowledge of SQL and PL/SQL to architecture reviews, performance discussions, and data design validation, • .Advise development teams on data access patterns, query performance, indexing strategy, and efficient data processing approaches, • .Support integration design by defining clean, well-governed data interfaces between systems and platforms .Stakeholder Engagement & Communicatio • nEngage confidently with senior business and technology stakeholders, translating data requirements into architecture recommendations, • .Present data architecture proposals and decisions clearly, adapting communication style to technical and non-technical audiences alike, • .Collaborate with project managers, solution architects, data engineers, and business analysts across the delivery lifecycle, • .Act as a trusted adviser on data matters, providing guidance that balances strategic vision with practical delivery constraints . Mandatory Skills & Experien • ce12+ years of experience in data architecture, data modelling, or closely related discipline, • s.Strong enterprise data modelling skills — logical, physical, relational, and dimensional across OLTP and analytical domain, • s.Solid data governance experience: lineage, metadata management, data quality frameworks, and classificatio, • n.Proven track record of defining and delivering data architecture in large, complex enterprise environment, • s.Strong hands-on experience with Oracle database technology, including PL/SQL, query optimisation, and data desig, • n.Good understanding of Oracle internals — execution plans, indexing, partitioning, and performance considerations — sufficient to guide and validate development team, • s.Experience producing high-quality architecture documentation and presenting to senior stakeholder, • s.Excellent communication and stakeholder management skills across technical and business audience s. Desirable Ski • llsFamiliarity with data warehousing methodologies and patterns (Kimball, Inmon, Data Vaul, • t).Exposure to data catalogue or metadata management tooling (e.g., Collibra, Informatica, or simila, • r).Knowledge of cloud data platforms and hybrid data architecture approach, • es.Awareness of integration patterns and data exchange design (e.g., API-led, event-driven, or batc, • h).Experience in Agile or SAFe delivery environmen ts. Personal Attrib • utesA natural data thinker — someone who instinctively approaches problems through the lens of data structure, flow, and qual, • ity.Technically credible and confident engaging with development teams, while equally comfortable at the strategic le, • vel.Pragmatic and delivery-oriented — able to balance architectural ideals with the practical realities of a fixed-term engagem, • ent.Self-sufficient and proactive; able to make an immediate contribution with minimal onboard, • ing.Strong collaborator with the interpersonal skills to align stakeholders and teams around shared data decisi ons. Engagement De tailsThis is a contract role for a fixed duration of 5 months, based in the UK. A hybrid working arrangement may be available. Candidates must hold the right to work in the United Kingdom and be available to commence at short no tice.Note: This role requires a Data Architect with genuine breadth across data strategy, modelling, and governance, supported by strong hands-on Oracle and relational database experi ence.

Job Title: Senior Cloud Engineer (contract) Location: London Hybrid. Travel to the London office on 3 days a week Duration: 11 months Contract Start Date: ASAP *note client onboarding takes 6 weeks from offer Day Rate: Competitive (Inside IR35) Deloitte Working with the Deloitte Associate (Contractor) Programme means we can offer you the opportunity to work on a variation of industry and client related projects. Our aim is to retain the best talent and so when your project end date nears our team of Talent Community Advisors will be working with you to look at alternative projects within the firm that suit your experience should you wish to continue with Deloitte. The Role We are looking for experienced Senior Cloud Engineers to work in the Technology and Transformation Team at Deloitte. You will work with one of our global financial services clients. This position requires a solid engineering experience as per the tech listed below, preferably with Financial Services experience. Your professional experience • + 10 years Cloud Engineering experience with AWS and GCP, • Snowflake, • Cloud Dev Ops, • Java, • Python, • CI/ CD Pipeline Dev, • Kubernetes, • Terraform, • Software engineering for AWS, • DevOps tooling Deliverables: Responsibilities but not limited to: • Perform software engineering activities for AWS by developing and maintaining applications using Java and Python., • Implement and manage comprehensive Cloud Dev Ops practices, including CI/ CD Pipeline Dev, container orchestration with Kubernetes, infrastructure as code using Terraform, and utilisation of relevant DevOps tooling., • Engineer, optimise, and maintain data warehousing solutions within Snowflake. IR35 As a means of managing tax, commercial and reputational risks, Deloitte prohibits the use of Associates through Personal Service Companies (‘PSCs’). All Associates must contract under PAYE arrangements through a Deloitte approved ‘Employment Company’ (aka ‘umbrella company.’)

Data Platform Manager (Databricks) London Up to £85,000 This is a high impact opportunity for a Data Platform Manager to take ownership of a strategically critical Databricks environment within a business that sees data as a core commercial driver. You will be responsible for the ongoing development, governance, optimisation, and operational ownership of the central data platform, helping shape how data is managed, accessed, and leveraged across international markets. This role sits at the centre of a major data transformation programme, with strong visibility across senior leadership and the opportunity to influence platform strategy, architecture, and best practice at scale. The Company They are a fast growing, value driven telecommunications business focused on scaling through digital, data, and analytics. Data and analytics are viewed as critical to long term enterprise value, with continued investment into real time data, AI enabled use cases, and self service analytics capabilities. The Role • Take end to end ownership of the Databricks platform, ensuring it is scalable, secure, well governed, and aligned to business and technical priorities, • Define and drive the platform roadmap across infrastructure, tooling, governance, monitoring, and operational maturity, • Act as the central point of ownership for the wider data platform environment, supporting analytics, engineering, reporting, and AI use cases, • Work closely with data engineering and architecture teams to improve platform design, performance, reliability, and scalability, • Drive best practice across platform management including access control, cost optimisation, observability, incident management, and operational governance, • Challenge and guide technical decisions to ensure solutions are robust, reusable, and aligned to long term platform strategy, • Support the evolution of a modern lakehouse environment and help embed scalable self service analytics capabilities across the organisation, • Collaborate with business stakeholders and market teams to prioritise platform enhancements and communicate progress, risks, and outcomes clearly, • Act as a key escalation point for platform related issues and ensure high levels of operational performance and platform adoption Your Skills & Experience • Strong commercial experience owning or managing enterprise scale cloud data platforms, • Deep hands on exposure to Databricks, with a strong understanding of platform capabilities, administration, and best practice, • Experience managing modern lakehouse or cloud data environments within complex organisations, • Strong understanding of platform governance, security, scalability, monitoring, and operational support, • Broader exposure to cloud data technologies such as Azure Synapse Analytics, Snowflake, or wider cloud ecosystems would be beneficial, • Comfortable working across data engineering, analytics, architecture, and business teams, • Strong stakeholder management skills with the ability to influence technical and non technical audiences, • Experience supporting data platform transformation programmes and enabling self service analytics capabilities at scale

Novatus is a Series B scale-up RegTech SaaS provider and boutique advisory practice, enabling financial services firms to solve complex challenges and redefine what’s possible through expert-led technology and consulting. Across both our technology and consulting services, Novatus delivers practical solutions to some of the most complex regulatory, data and operational challenges in financial services. Our SaaS platform, En>ACT (short for Ensuring Accurate, Complete and Timely reporting), is a market-leading solution for regulatory transaction reporting and reconciliation, providing real-time, independent oversight of transaction reporting across all global regulatory regimes. En>ACT is the only real-time assurance solution that tests 100% of transactions and 100% of fields, replacing sample-based reviews and static PDF reports delivered months after the event with live, actionable insights. This helps firms remediate quickly, reduce risk, and meet regulatory obligations with confidence. Already trusted by more than 45 firms worldwide, the platform is scalable, proven, and designed for both business and technical users. Alongside our SaaS offering, our unique model delivers consulting services to solve complex challenges, combining deep expertise, ownership and delivery to create lasting change. Our expertise spans Strategy & Operations, Data & AI, Risk & Resilience, Compliance, Transaction Reporting, and ESG. We embed ourselves within client teams to deliver both insight and execution, taking ownership of outcomes and driving measurable impact. Since our launch in 2019, we have scaled rapidly, creating space for our people to grow the business. Backed by North American private equity investment, and partnerships with the London Stock Exchange Group and Snowflake’s global data platform, we are shaping the future of financial services through innovation in both consulting and technology. Now a team of 120 globally, our growth plans do not stop here: we are looking for top-tier talent to join us on our journey and enable our next phase of success. Senior DevOps Engineer Novatus HQ - 2 London Wall Place, EC2Y 5AU Job Overview: As a Senior DevOps Engineer, you will scope and deliver complex infrastructure projects end-to-end, building and maintaining scalable, secure, and performant systems. You'll contribute to our technology direction and drive initiatives that align with our business objectives, with an emphasis on automation, delivery pace, reliability, and cost efficiency. This role requires a strong technical background and a proven track record of building and scaling systems in complex environments. You'll be joining as we have begun actively modernizing our infrastructure from traditional deployments to automation and cloud-native systems with AWS, Terraform, GitHub Actions, Databricks, Snowflake and Grafana. Key Responsibilities: • Design and implement AWS cloud infrastructure, writing clean and maintainable Infrastructure as Code for repeatable, auditable deployments across environments., • Drive reliability, scalability, security, observability and cost efficiency of AWS infrastructure., • Provide mentorship to other DevOps engineers, sharing expertise and raising engineering quality across the team., • Develop and maintain robust and effective CI/CD pipelines., • Troubleshoot and resolve complex infrastructure issues, ensuring minimal impact on business operations., • Explore and evaluate new technologies, tools, and patterns that improve platform reliability and delivery pace., • Partner with Data Engineering to support platform infrastructure (AWS, Databricks, Snowflake). About You: Requirements: • Strong hands-on AWS infrastructure experience, including IAM, VPCs, compute, containers, load balancing, storage, security, resilience, and cost optimization., • Hands-on experience deploying and operating applications on Kubernetes in production, including Helm/manifests, ingress, configuration/secrets, observability, and troubleshooting live workloads., • Proficient with Infrastructure as Code, especially Terraform, with experience building maintainable, reusable modules and environment patterns., • Solid production networking knowledge: TCP/IP, DNS, TLS, BGP, routing, subnets, NAT, firewalls/security groups, VPN/private connectivity, load balancers, and practical troubleshooting., • Experience operating cloud infrastructure in regulated environments (e.g. GDPR, ISO 27001, SOC 2)., • Experience designing observability, monitoring, logging, and alerting solutions for distributed systems., • Strong software engineering ability beyond basic scripting. Ideally someone who has contributed to larger software projects or built maintainable platform/backend tooling in a language such as Python, Go, Java, TypeScript, or similar., • Comfortable using modern AI-assisted engineering workflows, including agentic coding tools and LLM-based automation. Familiarity with concepts such as MCP servers, tool-calling, RAG/vector search, embeddings, and AI-assisted platform operations., • Working knowledge of databases and data platforms, including SQL databases such as PostgreSQL/MySQL and exposure to NoSQL or distributed data stores., • Track record of independently scoping and delivering complex infrastructure projects end-to-end., • Experience mentoring engineers and sharing technical expertise across a team., • Excellent communication and stakeholder management skills. Nice-to-haves: • Relevant certifications (e.g., AWS Certified Solutions Architect, AWS Certified Security, or AWS Certified DevOps Engineer)., • Databricks and/or Snowflake infrastructure experience., • Kafka operations or other event streaming platforms., • Experience on infrastructure modernization or migration programs., • FinTech, RegTech, or financial services background. Why Join Us? Work Across Disciplines: You won't be confined to a single track- you will develop a broader skillset across our capabilities and offerings. Solve Problems that Matter: Work on complex challenges, where your thinking, analysis, and execution have real impact. Flat, Visible, Collaborative: We keep the structure flat, so you can collaborate directly with senior leaders and experienced specialists. Your work is visible, your perspectives are valued, and you will see the impact of your contributions every day. A Place for Builders: This is a great place for people who enjoy driving results and taking ownership. If you are driven to add value and help grow our business, you will enjoy a rewarding experience that recognises your contributions. Perks & Benefits: • Private Medical Insurance (via AXA): includes mental health, dental, vision, and private GP access, • Life Insurance - 4× salary (via Unum), • Unum’s Help@Hand: includes GP access, medical second opinions, physiotherapy, lifestyle coaching, savings and discounts, mental health support, bereavement counselling, and cancer support services for you, your partner, and your child(ren), • Salary sacrifice childcare and nursery scheme (via YellowNest), • Employee Assistance Programme, • Enhanced parental leave (maternity & paternity), • Professional qualification sponsorship, • Accelerated career progression based on readiness and performance, not tenure or time spent in role, • Holiday entitlement increases with tenure, • Flexible hours with core collaboration time, • Paid volunteering leave, • Gym & fitness discounts, • Bi-annual socials, • Office snacks and drinks, • Interest-based working groups to collaborate and innovate Novatus’ Equal Opportunities Statement: Novatus is an Equal Opportunity Employer. All employment decisions are made based on business needs, role requirements, and individual qualifications, without regard to race, age, religion or belief, sex, sexual orientation, gender identity or expression, marital or civil partnership status, pregnancy or maternity, socioeconomic background, disability, or any other characteristic protected under the Equality Act 2010. We maintain a workplace culture that is inclusive, respectful, and supportive. Our recruitment and selection processes are designed to ensure fairness and consistency for all candidates. Reasonable adjustments are available throughout the application and interview process, and candidates are encouraged to contact Human Resources to discuss any specific requirements. This commitment is embedded in all aspects of our employment practices, including recruitment, compensation, professional development, promotion, and workplace conduct.

Software Engineer Location: London, UK Working Environment: Hybrid (2 days on-site per week) The company is a leading financial data and analytics company and they are looking to hire a Software Engineer into one of their data distribution engineering teams. This role focuses on building and maintaining systems that efficiently distribute data to customers across multiple delivery methods. You will contribute to the design, development, automation, and reliability of data infrastructure and workflows, whilst working in close collaboration with product and operations teams. Key Responsibilities • Design, analysis and implementation of features in the data distribution platform., • Ensure system reliability by implementing company and industry best practices., • Implement workflow management software to automate operational tasks and optimize the utilisation of infrastructure and applications., • Design and implement CI/CD workflows to maintain software quality via continuous and automated deployment and testing., • Evaluate and adopt relevant technologies and tools Key Requirements • Degree in computer science or other STEM degree plus relevant programming experience., • 2+ years of experience in software engineering, with proficiency programming in Python on Linux., • Exposure to / experience working with cloud and containerisation technologies (AWS & Docker preferred) Desired, but not essential: • Exposure to / experience working with Databricks and/or Snowflake

The Lead Engineer / Technical Lead will own the end-to-end technical delivery of a data migration and platform modernisation programme in AWS. This role acts as the single technical point of accountability, setting architecture, defining standards, and coordinating delivery across workstreams. While the programme includes data engineering, the focus is heavily on DevOps, infrastructure, and platform engineering, enabling scalable, secure, and automated migration and ingestion of enterprise data. Key Responsibilities • Own and evolve the AWS/CDP architecture for data migration, ingestion, and downstream consumption, • Define and enforce engineering standards (Terraform, CI/CD, pipeline design, naming conventions), • Lead platform engineering and infrastructure delivery (IaC, networking, security, environment setup), • Oversee migration of ~8–10 enterprise databases into AWS using DMS and CDC patterns, • Ensure migration pipelines are scalable, automated, and resilient, • Enable event-driven and batch data pipelines (S3, Lambda, orchestration), • Ensure data lineage, cataloguing, and documentation are captured, • Coordinate backlog prioritisation, sprint planning, and delivery sequencing, • Validate deliverables for quality, performance, security, and operational readiness, • Act as senior technical interface with stakeholders and delivery partners, • Lead knowledge transfer and upskilling of engineers Required Experience & Skills • 5+ years in data/platform engineering, including leadership experience, • Strong AWS experience: S3, Lambda, IAM, VPC/networking, DMS, • Proven experience with Infrastructure-as-Code (Terraform) and CI/CD pipelines, • Experience delivering large-scale data migrations, including CDC approaches, • Strong Python and SQL skills, • Understanding of data platforms (e.g. Snowflake/CDP) and ingestion pipelines, • Exposure to AI/ML enablement frameworks (.e.g AWS SageMaker) and supporting infrastructure for model training, deployment, • Familiarity with modern development and deployment frameworks, • Experience with dbt / ELT patterns (beneficial, not core focus), • Strong stakeholder communication and technical leadership skills

Contract Senior Software Engineer (Java or Python) | Inside IR35 Contract length: 6 months (with potential to extend) Location: London Working Environment: On-site You will be joining a private equity firm as a senior software engineer, to work across the following responsibilities: • Develop and support P&L, accounting, and returns-calculation applications across trading books, • Build and extend our Client Reporting Framework, • Add instrument and asset class coverage in our Trade Repository system, • Manage data exchange with third-party vendors via SFTP and AWS S3, • Use AI coding assistants (Claude, Cursor, GitHub Copilot) to compress delivery timelines while maintaining full code ownership and quality accountability, • Collaborate with quant researchers and traders to translate complex financial requirements into auditable, production-grade code, • Provide production support, working with Platform and SRE teams as needed Key Requirements: Technical: • 8+ years commercial experience in Python or Java across the full development lifecycle, • 5+ years in financial services (buy-side strongly preferred), • Solid relational database skills; MS SQL Server a strong plus, • Snowflake experience required, • Familiarity with AWS (S3, Lambda, EC2, Glue or similar), • Proficiency with Git, CI/CD pipelines, and observability tooling (e.g. Datadog)AI & Tooling:, • Proven, hands-on experience shipping production code using AI coding assistants such as Claude, Cursor, or GitHub Copilot, • Demonstrable examples where AI tooling reduced delivery time by 2x or more on a meaningful task, • Strong prompt engineering skills and the ability to critically evaluate AI-generated code for correctness, security, and financial accuracyDesirable, but no essential:, • Experience with Apache Airflow or similar workflow schedulers, • REST or GraphQL API design experience, • Knowledge of fixed income, FX, or derivatives products and associated P&L/risk methodologies

Head of Data Science 📍 London Hybrid 2 days a week |💰 Up to £130,000 + benefits Do you want to lead a world-class data science function at a high-growth organisation where AI, machine learning and advanced analytics sit at the heart of commercial strategy? We're looking for a Head of Data Science who's passionate about building and scaling teams, driving innovation and translating complex data into decisions that directly influence business growth What You'll Do as Head of Data Science • Lead, mentor and grow a team of data scientists, fostering a culture of innovation, rigour and continuous improvement., • Define and own the data science strategy, roadmap and ways of working across the function., • Take ownership of high-impact use cases spanning marketing, pricing, de\mand forecasting and AI innovation., • Design and oversee the delivery of predictive models and advanced analytics solutions that unlock new revenue opportunities., • Partner with senior leadership across Growth, Strategy and Technology to embed scalable data science solutions into operational systems., • Translate complex technical outputs into clear, compelling narratives for board-level and executive stakeholders., • Champion AI and machine learning innovation, staying ahead of industry best practice and emerging technologies., • Promote ethical data use, governance and compliance across all analytics initiatives. What You Bring as Head of Data Science • Proven experience leading a data science or advanced analytics function., • Deep technical expertise in Python, SQL and Spark SQL., • Hands-on experience with machine learning frameworks including TensorFlow, PyTorch and scikit-learn., • Experience with distributed computing and cloud platforms such as AWS, Azure Synapse or Snowflake., • Familiarity with data transformation tools (Databricks, Azure Data Factory) and ML platforms (Azure ML)., • Strong commercial acumen with the ability to translate business problems into scalable, impactful solutions., • A track record of influencing at senior and executive level, with excellent stakeholder management skills., • Knowledge of governance, compliance and ethical AI frameworks. Why You'll Love It Here • Competitive salary up to £130,000, • Hybrid working model, • Performance-related bonus, • Private pension scheme & life assurance, • Employee assistance programme, • Access to Perks at Work with thousands of national & local discounts, • Ongoing training and development opportunities If you're ready to lead a data science function that drives real commercial impact, apply now for this Head of Data Science role and help shape the future of data-driven decision making. Unfortunately, due to the volume of applications, not all submissions will receive feedback.

London (Farringdon) We’re building LLM-powered workflow tools to support investment research for private market investors, used by leading private equity and consulting firms globally. The company is profitable, bootstrapped, and growing quickly, with a team of 30+ across London, NYC, and Sydney. The Role This is a high-ownership backend engineering role focused on building and scaling systems that power an AI-driven research platform. You’ll work across backend systems, data pipelines, integrations, and internal infrastructure — partnering closely with product, commercial, and operations teams to automate workflows and improve decision-making. What You’ll Do • Design and scale backend systems supporting LLM workflows, vector search, and orchestration, • Build data pipelines and internal platforms integrating product, CRM, and financial systems, • Develop automation and internal tooling to improve company efficiency, • Own systems end-to-end — from architecture to production, • Contribute to engineering culture and technical direction Example Projects • Customer Health System: unify product usage, CRM, and feedback into actionable insights, • User Feedback Pipeline: process calls with LLMs to extract themes and product insights, • Billing Infrastructure: build systems for complex B2B pricing and automated invoicing, • Internal Data Platform: create reliable pipelines and APIs for reporting and operations About You • Based in London (or willing to relocate), • Experience owning backend systems end-to-end, • Strong in Python or TypeScript, • Strong PostgreSQL and familiarity with modern data platforms (Snowflake, BigQuery, etc.), • Comfortable working in fast-moving startup environments, • Enjoy translating business problems into scalable technical systems Nice to Have • Experience with AI/LLM workflows or internal platforms Benefits • Private health insurance, • Gym membership, • Dinner when working late, • Team off-sites For more info or to apply, please share your CV to gjurgjica@mentortalent.ie.

DATA ENGINEER - CONSULTANCY EXPERIENCE • Salary up to £90,000 + discretionary bonus, • London-based role with hybrid working, • Work across high-impact client projects, • Broad exposure to modern Azure data stack and cloud technologies, • Strong progression and training opportunities within a growing consultancy, • Apply online or contact Chelsea Hackett via chelsea.hackett@searchability.com ABOUT THE CLIENT Due to continued growth, we’re supporting a well-established consultancy specialising in data strategy and technology solutions within the financial services space. They work closely with a global client base, delivering high-quality, hands-on solutions rather than purely advisory services. THE BENEFITS • Competitive salary with discretionary bonus, • Hybrid working model, • Private healthcare, • Enhanced pension contributions, • 25 days holiday, increasing with tenure, • Ongoing training and career development, • Exposure to a wide range of technologies and clients THE DATA ENGINEER ROLE: You’ll play a key role in delivering end-to-end data solutions, working closely with clients to design, build, and implement scalable data platforms. This is a hands-on, client-facing role where you’ll contribute to solution design, gather requirements, and support project delivery from concept through to completion. You’ll also collaborate with project managers on complex engagements, provide technical insight into proposals and Statements of Work, and support governance and best practice across projects. There’s a strong focus on innovation, with opportunities to contribute ideas and shape how solutions are delivered. DATA ENGINEER ESSENTIAL SKILLS • Strong experience in data engineering and building scalable data solutions, • Solid understanding of data architecture and design patterns, • Experience with cloud platforms, particularly Azure, • Data warehousing experience (e.g. Snowflake, Azure SQL), • Strong SQL and data modelling skills, • Experience with ETL/ELT pipelines and modern data tooling, • Ability to engage with stakeholders and communicate technical concepts clearly, • Experience contributing to project planning, scoping, and delivery TO BE CONSIDERED: Please either apply through this advert or email me directly via chelsea.hackett@searchability.com. By applying for this role, you give express consent for us to process and submit (subject to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLS Data Engineering, SQL, Python, Azure, Snowflake, ETL, Data Warehousing, Data Architecture, Data Pipelines, CI/CD

Reports to: Director of Data Science & Engineering Job Purpose We are looking for a Data Engineer with Machine Learning experience to join our team. They will be responsible for maintaining and supporting the existing data infrastructure used to underpin our data analytics and reporting. The Data Engineer will own the company's drive into Machine Learning and AI adoption. They will be accountable for building as well as owning new Machine Learning and AI solutions across the team and the wider business. These solutions must align with business needs and be delivered with ROI in mind. These must complement our current, scalable data architecture. They will support the customer analytics function by developing and deploying machine learning models and techniques to deliver value around our consumer (B2C) data. The Data Engineer will be expected to optimize the architecture of our data pipelines and ensure that data flows support various cross functional teams across the business. The ideal candidate will have a self-directed, innovative mindset who is comfortable supporting the data needs of multiple teams. The right candidate will be proactive in identifying and implementing improvements for our systems contributing constructively to the current data eco-system. As the business continues to invest in cloud solutions, particularly Google Cloud Platform, you will be excited by the prospect of owning new projects, propelling our data initiatives and capabilities. Lead Data Engineer will be exposed to best practice methods with the current framework. The Data & Marketing Department The Data & Marketing department is the intelligence powerhouse of the business, representing the customer. Our goal is to inspire, engage and grow a loyal readership by harnessing data-driven insights and innovative marketing to deliver personalised, impactful content experiences that builds lasting trust, diverse revenue streams, and a thriving future for quality journalism. The department consists of four teams: Data Science & Engineering, Data Intelligence & Monetisation, Research & Insight and Customer Marketing. About You • An accomplished ML/Data Engineer with proven experience deploying and managing ML and AI based services in production., • Strong SQL skills and hands-on experience with both relational and non-relational databases, supporting data needs in fast-paced, content-driven environments., • Strong expertise in designing and maintaining scalable data pipelines and architectures—integrating data from web analytics, content management systems (CMS), subscription platforms, ad tech, and social media., • Proven ability to automate and optimise data workflows, using modern ETL/ELT tools (e.g., Airflow, dbt, Apache Spark) to ensure timely and reliable delivery of data., • Experience building robust data models and reporting layers to support performance dashboards, user engagement analytics, ad revenue tracking, and A/B testing frameworks., • Skilled in cloud-based data platforms and infrastructure (e.g., AWS, GCP), ensuring scalability and security for large volumes of streaming and batch data. Additionally, experience with data warehouses such as BigQuery or Snowflake., • Adept in Python and/or Java for developing data services and integrating APIs to bring in diverse sources of media data., • Exposure to utilising AI and Agentic workflows to build and deploy models agents and coding pipelines. Ideally having experience in Gemini, Claude and Vertex AI., • Exposure to ML Frameworks such as PyTorch or TensorFlow., • Agent orchestration using frameworks such as Langgraph or CrewAI, • Understanding of ML Ops such as automated model, testing,monitoring and tuning., • Excellent interpersonal and communication skills, enabling effective collaboration with analytical and commercial teams to turn data into actionable insights., • Proactive and self-driven, capable of managing multiple data projects in a high tempo setting while meeting tight deadlines., • A continuous learner with a diligent approach to data engineering including data privacy (e.g., GDPR compliance) and evolving best practices. Diversity, Equity and Inclusion • We champion diversity in our teams and in our reporting. As a growing and global brand, we must have a workforce that’s more representative of our readers, viewers, clients and partners, and a workplace that creates a sense of belonging for everyone, • We are committed to hiring and developing a diverse workforce regardless of background, and we support our people to thrive in their careers here. The Independent is an equal opportunities employer, if you require any reasonable adjustments to complete your application, please do not hesitate to advise us accordingly. Key Responsibilities and Accountabilities - what is delivered • Design and Maintain Data Pipelines: Develop and maintain robust, scalable, and efficient data pipeline architecture to support current and future business needs., • Engineering and Integration: Assemble large, complex datasets from a variety of structured and unstructured sources, ensuring they meet functional requirements., • Process Automation and Optimisation: Identify, design, and implement improvements to automate manual processes, enhance data delivery performance, and re-architect infrastructure for improved scalability and resilience., • AI Agentic Workflows: Designs and deploy agentic workflows to increase efficiency in support of Engineering and the Analytics function., • AI adoption: Build on the current usage of AI across the business rolling out new processes and models., • Machine Learning: Take the lead in building out our capability in this area with new models and recommender systems., • ETL Development and Infrastructure Building: Build and manage the infrastructure necessary for optimal ETL or ELT of data using Python, SQL, and Google Cloud Platform (GCP) big data technologies, such as BigQuery, Dataflow, Dataproc and Cloud Storage., • Business Intelligence Enablement: Prepare and transform pipeline data to support downstream analytics and feed BI tools (DOMO), enabling data-driven decision-making across the organization., • Cross-Functional Collaboration: Partner with internal stakeholders—ranging from Data, Commercial, and Editorial teams to executive leadership—to address data-related technical challenges and support their infrastructure needs., • Enhance Data System Functionality: Collaborate with the Data Team to continuously improve the functionality, flexibility, and performance of data systems and platforms., • Data Governance and Compliance: Ensure all data is handled responsibly, securely, and in full compliance with the Data Protection Act, GDPR regulations, and the Company’s Code of Conduct. Skills and Experience • SQL and Database Expertise: Strong working knowledge of SQL with hands-on experience querying and managing relational databases, alongside familiarity with a variety of database technologies (e.g., PostgreSQL, MySQL, BigQuery)., • Big Data Engineering: Proven experience designing, building, and optimizing ‘big data’ pipelines, architectures, and datasets, enabling efficient data processing at scale., • Analytical Problem Solving: Skilled in performing root cause analysis on complex internal and external data sources and business processes to resolve issues and uncover opportunities for operational or strategic improvements., • Unstructured Data Handling: Strong analytical capability for working with unstructured and semi-structured datasets, transforming raw information into actionable insights., • Data Workflow Development: Expertise in developing and maintaining data transformation processes, managing data structures, metadata, workload dependencies, and orchestration frameworks., • Large-scale Data Processing: A demonstrated history of manipulating, processing, and extracting value from large, diverse, and disconnected datasets in fast-moving environments., • Project Management & Collaboration: Excellent project management and organizational skills, with experience supporting and collaborating with cross-functional teams in dynamic and evolving settings., • Education & Professional Background: Holds a graduate degree in Computer Science, STEM related quantitative field, with 2+ years of hands-on experience in a data engineering role. Tools & Technologies: • Databases: Proficient in SQL databases., • Workflow Management Tools: Experience with orchestration platforms such as Apache Airflow., • Programming Languages: Skilled in one or more of the following languages, i.e.: Python, Java, Go., • Cloud Infrastructure: Strong understanding of cloud infrastructure such as GCP and tools within the respective platform. Our values – you will deliver across all our values Inclusive: We champion diversity in our teams and in our reporting. Working as a team, we put transparency and effective communication at the heart of everything we do. Innovative: From the very beginning, The Independent has been breaking the mould. We take risks and are always looking to try new ideas in pursuit of excellence. Independent: Nobody tells us what to think; we make up our own minds and aren’t afraid to do things differently. Like our readers, we value honesty and integrity above outside influences.

Quant Developer (European Direct Lending) - Hybrid - London - Up to £250k TC We're working with a global alternative asset manager ($570bn AUM) on a rare, greenfield hire within their European Direct Lending business, a $80bn+ strategy with ~95 investment professionals across London and Europe. This is a brand new quant function, you'll be the first in this team, embedded directly in the front office, with plans to grow the team beneath you. The credit side of the business has already successfully built out this capability, so there's a proven model and live case study to draw from. What you'll be doing • Building and enhancing dynamic fund-level financial models (capital allocation, return optimisation, liquidity), • Developing tactical front-office tools that bridge investment teams and technology, • ETL and data management across an Azure-hosted Data Lake environment, • Integrating with enterprise platforms (OMS, fund accounting, loan accounting systems), • Longer-term scope into risk, pricing analytics, and AI-driven platform development The stack: VBA/Excel · Python (Pandas, NumPy, Flask/Django) · Databricks/Snowflake · Azure Data Lake · Microsoft Power Platform · SQL Who they're looking for • 7+ years in a technical role within financial services (investment management, private credit, or private equity preferred), • Strong commercial and corporate finance understanding (this is not a pure coding role), • Excel/VBA proficiency is highly valued; Python is a bonus, • Comfortable being the only quant and building from scratch, • Available at short notice, 6 months will be too long Interview process: 30-min intro call → take-home case study (Excel-based) → further stages to follow We encourage you to apply even if you think you may not currently fit all these requirements – so long as you have proven academics and are willing to work hard and learn, we want to hear from you. Note: if you haven't received a reply within 3 days, your application was possibly and unfortunately not accepted. Quant Developer (European Direct Lending) - Hybrid - London - Up to £250k TC

Data Solution Architect Remote working £650-675/day overall assignment rate to umbrella 3-month initial contract Working with a market leading client who have a requirement for a Data Solution Architect to design, lead and deliver scalable, enterprise-grade data platforms. This role requires deep expertise in data architecture, dimensional data modelling (Kimball) and modern cloud-based data ecosystems (ideally Databricks). Core Technical Expertise • Strong experience in data solution architecture within enterprise environments, • Proven hands-on expertise in data warehousing concepts and implementation, • Deep knowledge of Kimball dimensional modelling methodology.Platforms & Tools, • Experience with Databricks (preferred) or similar platforms:, • Snowflake, BigQuery, Redshift, Synapse, or equivalent, • Strong proficiency with:, • SQL (advanced level), • Spark / PySpark, • Data pipeline orchestration tools (e.g., Airflow, ADF, etc.)Data Modelling, • Extensive experience designing:, • Fact and dimension tables, • Star and snowflake schemas, • Aggregation layers and semantic modelsData Migration & Mapping, • Demonstrated experience delivering large-scale data migration projects, • Strong capability in:, • Source-to-target mapping, • Data transformation design, • Data reconciliation and validation techniquesCloud & Architecture, • Experience with cloud platforms (Azure, AWS, or GCP) Understanding of lakehouse architectures and hybrid data platforms Desirable • Experience with medallion architecture (bronze/silver/gold layers), • Knowledge of data governance tools (e.g., Purview, Collibra), • Exposure to real-time/streaming data pipelines, • Experience working in Agile delivery environments Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. If you need any help or adjustments during the recruitment process for any reason, please let us know when you apply or talk to the recruiters directly so we can support you.

Data Engineer £550-600/day outside IR35 6-month contract Remote working Working with a FTSE 100 client who have a requirement for a hands-on Senior Data Engineer. The role will be involved in designing and delivering data models, integrations, orchestration pipelines, rule engines and contributing to the platform/infrastructure - MUST have Terraform experience. Data Engineer, key skills: • MUST have experience using Terraform to build and manage IAC, • Proven experience with AWS (E.g S3, Lambda, Glue etc), • Background in building data pipelines, integrations and transformation layers, • Strong hands-on SQL experience, • Data modelling, • Data quality rules and validation frameworks, • Snowflake is massively desirable Data Engineer, AWS, Terraform, Snowflake Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. If you need any help or adjustments during the recruitment process for any reason, please let us know when you apply or talk to the recruiters directly so we can support you.

Data Engineer A rapidly scaling AI startup is looking for a hands-on Data Engineer to join their highly technical team. This is an exceptional opportunity to work on cutting-edge machine learning and real-time optimisation products used by clients processing millions of customer interactions per day. You’ll join a small, elite engineering group where your work has immediate impact. The environment is fast, collaborative and low-bureaucracy — ideal for someone who thrives in a startup setting and wants real ownership. The role You’ll be responsible for designing, building and maintaining the data pipelines that power the company’s AI-driven products. This includes: • Building scalable, reliable ETL processes and data pipelines, • Working closely with data scientists to productionise models, • Designing and maintaining data architecture for new products, • Monitoring and improving data quality, performance and reliability, • Contributing to engineering best practices (testing, code review, documentation) What we’re looking for Must-have experience: • Proven experience building scalable ETL processes and data pipelines, • Advanced Python skills (production-grade, performant code), • Strong hands-on experience with pandas, • Strong SQL Server skills, • Experience with cloud platforms (Azure or AWS), • Experience using Git in a team environment, • Hands-on experience using AI coding tools (e.g., Copilot, Cursor, Claude, Codex) Nice to have: • Experience with Airflow, Dagster or other orchestration tools, • Experience with data lakes (Synapse, Snowflake), • Experience with Docker, • Experience with streaming technologies (Kafka, RabbitMQ), • Experience with Spark or other big-data tools Hybrid working – 3 days per week in a central London office (Tues - Thurs) If you’re excited by the idea of building the data foundations of next-generation AI products — even if you don’t tick every box — we’d love to hear from you.

Robert Half Technology are assisting UK's market leading telecommunications organisation to recruit a Data Engineer on a contract basis - Hybrid working - London / Hampshire based We are supporting a data transformation programme and are looking for a Senior Data / Platform Engineer to take full ownership of the production data platform. This role is critical to delivering a scalable, production-ready platform ahead of a mid-August NetSuite cutover, including responsibility for build, integration, and operational readiness. Role • The Data Engineer will own the end-to-end data platform (ingestion, orchestration, infrastructure, observability), • Design and deliver scalable data pipelines across CRM, ERP and billing systems, • Lead platform readiness for cutover and hypercare phases, • Build and maintain integrations incl.:, • Salesforce / Ability (CRM), • NetSuite / Sage X3 (ERP), • Billing / BSS systems, • Implement reverse ETL workflows (Hightouch), • Manage supplier data ingestion via SFTP and cloud services, • Ensure strong monitoring, alerting, and platform reliability, • Take full ownership of a core engineering workstream, • Produce clear documentation and BAU handover Profile • The Data Engineer will have strong cloud data warehouse experience (BigQuery preferred; Snowflake/Redshift also considered), • Proven experience integrating:, • CRM platforms, • ERP systems, • Billing/BSS solutions, • Experience delivering cutover + hypercare phases (essential), • Ability to operate as a senior IC / workstream owner, • Strong documentation and delivery discipline Tech Stack • GCP (BigQuery, Dataflow, Composer, Cloud Functions), • Fivetran, Python, • Terraform, • GitHub Actions, • Cloud Monitoring, PagerDuty, • Hightouch (Reverse ETL) Company • UK's market leading telecommunications organisation with offices in London / Hampshire, • Hybrid working Salary & Benefits The salary range/rates of pay is dependent upon your experience, qualifications or training. Robert Half Ltd acts as an employment business for temporary positions and an employment agency for permanent positions. Robert Half is committed to diversity, equity and inclusion. Suitable candidates with equivalent qualifications and more or less experience can apply. Rates of pay and salary ranges are dependent upon your experience, qualifications and training. If you wish to apply, please read our Privacy Notice describing how we may process, disclose and store your personal data:

Principal Data Architect - Energy, Data Platforms, Snowflake, Azure Fabric £825 per day (Inside IR35) Primarily remote 3 - 6 months My client, a high-profile consultancy, urgently requires a Principal Data Architect to join a major Programme. This role will play a key part in delivering enterprise data architecture and supporting strategic data initiatives. Key Requirements: • Proven experience as a Principal / Lead Data Architect in complex enterprise environments, • Strong track record delivering end-to-end cloud data platforms (Snowflake and/or Azure Fabric), • Expertise in data modelling (dimensional, star/snowflake, 3NF) and ELT/ETL pipeline design, • Deep hands-on experience with Snowflake (Snowpark, SnowPipe/Streaming, Dynamic Tables, Cortex, Unistore, optimisation, RBAC, warehouses, time travel, zero-copy cloning), • Broad experience across modern data platforms and tools (Snowflake, Fabric, Databricks, CosmosDB, MongoDB, RDBMS), • Experience with data integration (Matillion, Alteryx, Qlik), CDC/replication (Qlik Replicate, GoldenGate), and BI (Power BI), • Strong knowledge of APIs, messaging, and streaming data architectures, • Solid experience in data security, governance, and regulatory frameworks (GDPR, SoX, CNI), • Strong understanding of relational and NoSQL data architectures, • Proven ability to troubleshoot complex data pipelines and platform issues, • Experience migrating data from diverse sources (RDBMS, SAP, Salesforce, GIS, PI Historian), • Exposure to Machine Learning, Generative AI, and Agentic AI, • Strong stakeholder engagement and collaboration with BI/analytics teams Nice to Have: • Experience within the Energy / Utilities sector, • Hands-on experience with Azure ML or advanced analytics platforms, • Prior involvement in large-scale data transformation or data strategy programmes If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. 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 hays.co.uk

Data Architect – Azure, Databricks & Snowflake Remote First (UK) | Monthly London Meetups | £100,000–£110,000 A fast-growing international fintech organisation is seeking an experienced Data Architect to lead the design and evolution of a modern cloud-native data platform. This is a senior-level opportunity to shape enterprise-wide data strategy and architecture across a highly scalable Azure and Snowflake ecosystem, supporting advanced analytics, AI/ML, business intelligence, and data-driven product innovation. You will take ownership of the organisation’s modern data architecture roadmap, designing secure, scalable, and high-performing platforms that enable analytics and engineering teams to deliver at pace. This role combines strategic architecture leadership with hands-on technical expertise across Azure, Databricks, and Snowflake technologies. Key Responsibilities • Define and maintain the enterprise data architecture strategy and roadmap, • Design scalable, secure, cloud-native data platforms using Azure and Snowflake, • Architect modern lakehouse and enterprise analytics solutions, • Lead the design of conceptual, logical, and physical data models, • Support batch, streaming, and real-time data processing capabilities, • Drive best practice across governance, metadata, lineage, and data quality, • Optimise platform performance, scalability, reliability, and cost, • Collaborate closely with engineering, analytics, architecture, and data science teams, • Provide technical leadership and architectural guidance across delivery teams, • Promote automation, CI/CD, and Infrastructure as Code practices, • Evaluate emerging technologies and contribute to long-term platform innovation Required Experience • Strong experience designing enterprise data platforms within Microsoft Azure environments, • Deep expertise with Azure Databricks, Spark (PySpark/Scala), Delta Lake, and Lakehouse architecture, • Strong hands-on experience with Snowflake architecture and optimisation, • Experience with Azure Data Factory, ADLS Gen2, Synapse Analytics, and/or Microsoft Fabric, • Excellent understanding of modern data modelling approaches including Kimball, Inmon, and Data Vault, • Strong SQL, Python, Spark, and Snowflake SQL skills, • Experience with CI/CD and Infrastructure as Code tools such as Terraform, ARM, or Bicep, • Knowledge of governance and cataloguing tools such as Microsoft Purview, • Proven ability to operate in senior technical leadership or architecture roles Desirable certifications include: • Microsoft Certified: Azure Data Engineer Associate, • Azure Solutions Architect Expert, • Databricks Certified Associate/Professional, • SnowPro Core Certification If you are passionate about modern data architecture and want to play a key role in building scalable cloud data platforms within a technology-driven organisation, we’d love to hear from you. Salary: £100,000–£110,000 Remote / London

SC Cleared Salesforce Data Cloud Developer (360) - 6 months+ £600 - £700 per day - Remote/London As part of our continuous growth, we are seeking a Salesforce Data Cloud Developer to join our Salesforce Practice. This mid-level, client-facing role sits within our growing Data Cloud capability, working across enterprise engagements to design, build, and optimise Salesforce Data Cloud solutions that unlock the value of unified customer data. You will collaborate closely with architects, delivery managers, and client stakeholders to deliver measurable outcomes across industries including automotive, retail, financial services, and the public sector. Note you must either have Full UK Security Clearance (SC) or be able to attain it to be eligible for this role. Role & responsibilities: • Configure and build Data Cloud solutions for enterprise clients, including Data Streams, Data Model Object (DMO) mappings, transformations, and ingestion pipelines from Salesforce CRM and third-party platforms., • Implement Identity Resolution rulesets to unify customer profiles across multiple data sources, defining match and reconciliation rules aligned to client requirements., • Develop Calculated Insights and Segments using SOQL and Data Cloud SQL to surface derived metrics and KPIs, working with business stakeholders to translate requirements into segment logic aligned to marketing and operational use cases., • Configure Data Cloud Activations to push unified profiles and segments to downstream platforms including Marketing Cloud, Sales Cloud, Service Cloud, and third-party tools., • Support integration design between Data Cloud and other Salesforce clouds or external systems via MuleSoft, APIs, or native connectors, ensuring seamless data flow across platforms., • Participate in client workshops and sprint ceremonies as a technical subject matter expert, producing clear documentation including solution designs, data flow diagrams, and configuration guides., • Contribute to pre-sales and estimation activity as required by the practice, and support knowledge sharing and mentoring of junior team members. Your Skills & Experience: • 3-5 years of hands-on Salesforce development experience, with at least 1 year focused on Salesforce Data Cloud, including proven experience with Data Streams, Unified Data Model, Identity Resolution, Segmentation, and Activations., • Proficiency in SOQL and Data Cloud SQL, with experience writing queries to support Calculated Insights, segmentation logic, and data validation., • Strong understanding of data modelling concepts, customer data platforms (CDPs), and data integration best practices within Salesforce Data Cloud and the broader Salesforce ecosystem., • Experience integrating Data Cloud with Marketing Cloud, Sales Cloud, or third-party platforms using APIs, native connectors, or MuleSoft., • Salesforce Data Cloud Consultant certification is required, or must be obtained within 6 months of joining. Salesforce Certified Administrator is also required., • Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders and thrive in a fast-paced, client-facing consulting environment., • Familiarity with Agile delivery methodologies, including Scrum or Kanban, with experience working within sprint-based delivery teams and contributing to ceremonies such as planning, retrospectives, and stand-ups. Desirable: • Experience with additional Salesforce products such as Sales Cloud, Service Cloud, Marketing Cloud or Experience Cloud., • Familiarity with MuleSoft, CRM Analytics (Tableau CRM), or Agentforce., • Additional Salesforce certifications are desirable, including Salesforce Platform Developer I, Marketing Cloud Consultant, Integration Architect, AI Associate, or AI Specialist., • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud, and experience integrating with cloud-based data warehouses or data lakes (eg Snowflake, Databricks, BigQuery)., • Knowledge of data security and compliance best practices in cloud-based environments. This temporary contract is inside IR35 and will require working under the direction of the client delivery manager as part of a multi-disciplinary team. The successful candidate will follow established delivery processes and working practices. This role requires the successful candidate to undergo and be eligible for UK Security Vetting at SC/DV level. Clearance sponsorship will be provided where required. Due to the nature of the work, candidates should meet the relevant residency requirements. If applicable, reserved post nationality restrictions will be confirmed by the client. Damia is committed to inclusive recruitment and welcomes applicants from all backgrounds. Due to the secure nature of the position and working environment, you must have, or be eligible to obtain Security Clearance More details relating to UK Security Clearance can be found here: United Kingdom Security Vetting: clearance levels - GOV.UK List of national security vetting clearance levels with guidance on who requires clearance and what checks are completed. Damia Group 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 our Data Protection Policy which can be found on our website. Please note that no terminology in this advert is intended to discriminate on the grounds of a person's gender, marital status, race, religion, colour, age, disability or sexual orientation. Every candidate will be assessed only in accordance with their merits, qualifications and ability to perform the duties of the job. Damia Group is acting as an Employment Business in relation to this vacancy and in accordance to Conduct Regulations 2003.

AI Application/Big Data Engineer 6-Month contract - Inside IR35 - market rate London based - hybrid working - up to 3 days a week onsite Finance sector - must have previous experience Role Overview Senior AI / Data Engineer responsible for designing, building, and optimizing AI-driven data pipelines and integrations to enable a QAS-powered response suggestion capability embedded in Salesforce Service Cloud. The role focuses on scalable data processing, LLM integration, and continuous model improvement using production telemetry. Responsibilities • Design and implement Salesforce QAS integration architecture, • Build and optimize data pipelines supporting AI inference and feedback loops, • Develop backend services / APIs enabling response suggestion workflows, • Integrate LLM capabilities (Amazon Bedrock) for response generation and embeddings, • Enable continuous model tuning via:, • telemetry data, • quality scoring, • usage analytics, • Work with structured and unstructured data sources:, • Microsoft Graph (SharePoint / Teams), • Implement asynchronous processing pipelines (SQS, EventBridge), • Ensure data reliability, scalability, and performance, • Contribute to:, • design documentation, • runbooks, • technical decision-making, • Support:, • SIT/UAT phases, • production readiness, • hypercare and rollout to additional entities Required Experience & Skills Core • 5-10 years of experience in Data Engineering / AI Engineering, • Strong experience in:, • Python / JVM-based backend development, • REST APIs / microservices, • Experience with cloud-native architectures on AWS Data & AI • Hands-on with:, • Amazon Bedrock (or equivalent LLM platforms), • data pipelines (batch + streaming), • embeddings / retrieval architectures, • Experience using:, • Snowflake (data platform integration, CDC concepts), • PostgreSQL (RDS) AWS Stack • S3, RDS, SQS, EventBridge, • Containerized workloads (EKS/ECS) Engineering Practices • Strong understanding of:, • distributed systems, • performance optimization, • observability (e.g. Langfuse, logging/metrics) Nice-to-Have • Experience with:, • Salesforce Service Cloud integrations, • NLP / GenAI applications in customer service, • Exposure to:, • Amplitude or product analytics tools, • Knowledge of regulated environments (banking / capital markets) Soft Skills • Ability to work in cross-functional distributed teams, • Strong ownership mindset (design production), • Clear communication with business and technical stakeholders Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change.

We are looking for an experienced Service Delivery Manager (data science) to join a Global MedTech leader working on one of the most exciting surgical technology platforms in the world. This is a hands-on delivery role spanning planning, stakeholder management and operational governance across complex cross-functional initiatives. Your stakeholders sit across London and the US, so confidence managing transatlantic relationships is essential. The ideal candidate will have a track record of delivering data science or analytics programmes in regulated environments such as MedTech, digital health, or life sciences. Be equally comfortable running sprint ceremonies with technical teams and presenting executive summaries to senior commercial stakeholders and can translate complexity into clarity, keep programmes moving and embed fast. If you have delivered programmes in regulated environments I would love to hear from you Start Date: Duration: 14 months - maternity cover, which includes time for a handover and hand-back.Monday to Friday 08:30 - 17:00Hybrid working, 2 days per week at their London office, Old Street.£450 - £525 per day depending on experience Duties to include: • Planning and coordination across multiple concurrent data science workstreams, • Sprint ceremonies, stand-ups and cross-functional delivery governance, • Stakeholder communication, steering materials and executive level reporting, • Risk and dependency management across fast-moving programmes, • Roadmap planning, quarterly prioritisation and delivery process improvementCandidate Experience:, • Delivery of data science, analytics, or ML programmes in regulated or R&D environments, • Senior stakeholder management across technical and commercial audiences, • Agile delivery experience, sprint planning, retrospectives, cross-functional ceremonies, • Familiarity with modern data environments such as Snowflake or similar platforms, • Exposure to AI or emerging technology programmes, • US stakeholder or transatlantic programme experience, • The ability to embed quickly and deliver from day one If you are interested in this role then please apply. If you would like to have more information on the position after making an application then please call and ask to speak with Beth. We will require your CV in order to be able to have an in-depth call so please ensure your CV has been submitted before calling. We look forward to receiving your application!

Claims Data Analyst - Snowflake/Python/SQL A leading London Market Insurance organisation is seeking a Claims Data Analyst to support the delivery of advanced analytics and aritficial intelligence solutions that provide proactive data analysis and reporting to support the claims team. Reporting to the Data Analytics & AI Team Lead, this role will foster technical esxcellence and continuous learning in AI, ML and advanced analytics. You'll be a great fit for this role if: • You have previous experience analysing data across Insurance, ideally within Claims, • You bring strong hands on analytics capability across SQL, Python & Snowflake, • You have knowledge of Power BI or other visualisation tools This is a permanent opportunity paying £60,000 + bonus, requiring 2-3 days per week onsite in central London Claims Data Analyst - Snowflake/Python/SQL