About Us Bauer Media Outdoor reaches millions of people across Europe through digital and out of home advertising. We operate thousands of digital screens and poster sites in high impact locations across multiple markets. We are modernising the platforms that power how data is used across our business, improving how teams access, understand, and act on insights. Our mission is simple. Create tech that makes a difference- empower teams, delight customers, shape the media world of tomorrow The Role We are looking for a Specialist Power BI Developer to strengthen our BI capability and improve the reliability, scalability, and usability of our reporting estate. This is a hands on role focused on delivering high quality Power BI solutions end to end, while also taking ownership of how the Power BI Service environment is managed and operated in production. You will work closely with stakeholders across the business to turn data into meaningful, trusted insights, ensuring the platform is stable, well governed, and built to scale. You will operate across a broad Power BI estate that supports decision making across multiple European markets, covering semantic models, reporting layers, and the Power BI Service environment. Working closely with data engineering teams using Azure and Databricks, you will consume curated datasets and help shape how they are used within reporting. This is not a data engineering role. The focus is on business facing analytics, Power BI delivery, and operational excellence, alongside introducing more modern, AI assisted analytics capabilities into the reporting ecosystem in a practical and controlled way. Role Focus Power BI Delivery & Modelling Build and maintain scalable semantic models and high quality reports Develop robust DAX and translate business needs into structured solutions Improve performance, usability, and consistency across reporting Platform Ownership & Operations Own the Power BI Service environment including workspaces, datasets, access, and deployments Ensure refresh reliability, governance, and lifecycle management Troubleshoot issues and improve stability across the reporting estate Stakeholder Engagement & Support Work directly with stakeholders to shape and prioritise reporting needs Provide day to day support across live BI solutions and resolve root causes Bring structure to requests, balancing delivery with operational demand Data Connectivity & Standards Support Data Gateway configuration and data connectivity Promote best practices across modelling, DAX, SQL, and report design Encourage reuse of trusted models and consistent development patterns What Success Looks Like Reduced dependency on individuals across Power BI delivery and support Improved reliability of reports, refreshes, and data connectivity Clear ownership and structure across the Power BI Service environment Strong relationships with stakeholders across multiple markets Faster turnaround of reporting requests without sacrificing quality More effective prioritisation and handling of BI support issues Increased capacity within the team to focus on strategic analytics What You'll Bring Core Experience Strong end to end Power BI delivery experience Hands on experience with Power BI Service in production Strong DAX and solid SQL capability Good understanding of semantic and dimensional modelling Experience working directly with stakeholders and supporting live BI environments Platform & Approach Experience managing workspaces, datasets, permissions, and deployments Experience with Data Gateway configuration and troubleshooting Comfortable balancing build work with operational support Able to bring structure, prioritisation, and ownership to a busy environment Nice to Have Exposure to Microsoft Fabric and Azure based data platforms Experience with version control and structured release processes Experience working with external partners Awareness of AI assisted analytics The Kind of Person Who Succeeds Here Strong Power BI practitioner with real end to end ownership Comfortable operating in both build and support environments Able to bring structure and clarity to a busy reporting landscape Confident engaging with stakeholders and challenging where needed Focused on building solutions that are reliable, usable, and scalable Interview Process Recruiter screen Technical and practical Power BI discussion Final stage interview focused on delivery approach and stakeholder engagement What's In It For You? Out-of-home Advertising is a well-established medium undergoing a digital revolution, and one we believe we are uniquely positioned to capture. You will be at the forefront of this journey, working with your peers to lead the way. As part of this you will get to grow and learn by working with the latest tech, joining with innovate partners, and working with great colleagues on a day-to-day basis. The package will also include: Hybrid working model with regular office presence to build team culture and relationships. 25 paid holidays Company Pension Scheme paid up to 8% Healthcare Cash Plan Life Insurance and group income protection scheme Cycle to work scheme Enhanced Maternity & Paternity Cover
21/05/2026
Full time
About Us Bauer Media Outdoor reaches millions of people across Europe through digital and out of home advertising. We operate thousands of digital screens and poster sites in high impact locations across multiple markets. We are modernising the platforms that power how data is used across our business, improving how teams access, understand, and act on insights. Our mission is simple. Create tech that makes a difference- empower teams, delight customers, shape the media world of tomorrow The Role We are looking for a Specialist Power BI Developer to strengthen our BI capability and improve the reliability, scalability, and usability of our reporting estate. This is a hands on role focused on delivering high quality Power BI solutions end to end, while also taking ownership of how the Power BI Service environment is managed and operated in production. You will work closely with stakeholders across the business to turn data into meaningful, trusted insights, ensuring the platform is stable, well governed, and built to scale. You will operate across a broad Power BI estate that supports decision making across multiple European markets, covering semantic models, reporting layers, and the Power BI Service environment. Working closely with data engineering teams using Azure and Databricks, you will consume curated datasets and help shape how they are used within reporting. This is not a data engineering role. The focus is on business facing analytics, Power BI delivery, and operational excellence, alongside introducing more modern, AI assisted analytics capabilities into the reporting ecosystem in a practical and controlled way. Role Focus Power BI Delivery & Modelling Build and maintain scalable semantic models and high quality reports Develop robust DAX and translate business needs into structured solutions Improve performance, usability, and consistency across reporting Platform Ownership & Operations Own the Power BI Service environment including workspaces, datasets, access, and deployments Ensure refresh reliability, governance, and lifecycle management Troubleshoot issues and improve stability across the reporting estate Stakeholder Engagement & Support Work directly with stakeholders to shape and prioritise reporting needs Provide day to day support across live BI solutions and resolve root causes Bring structure to requests, balancing delivery with operational demand Data Connectivity & Standards Support Data Gateway configuration and data connectivity Promote best practices across modelling, DAX, SQL, and report design Encourage reuse of trusted models and consistent development patterns What Success Looks Like Reduced dependency on individuals across Power BI delivery and support Improved reliability of reports, refreshes, and data connectivity Clear ownership and structure across the Power BI Service environment Strong relationships with stakeholders across multiple markets Faster turnaround of reporting requests without sacrificing quality More effective prioritisation and handling of BI support issues Increased capacity within the team to focus on strategic analytics What You'll Bring Core Experience Strong end to end Power BI delivery experience Hands on experience with Power BI Service in production Strong DAX and solid SQL capability Good understanding of semantic and dimensional modelling Experience working directly with stakeholders and supporting live BI environments Platform & Approach Experience managing workspaces, datasets, permissions, and deployments Experience with Data Gateway configuration and troubleshooting Comfortable balancing build work with operational support Able to bring structure, prioritisation, and ownership to a busy environment Nice to Have Exposure to Microsoft Fabric and Azure based data platforms Experience with version control and structured release processes Experience working with external partners Awareness of AI assisted analytics The Kind of Person Who Succeeds Here Strong Power BI practitioner with real end to end ownership Comfortable operating in both build and support environments Able to bring structure and clarity to a busy reporting landscape Confident engaging with stakeholders and challenging where needed Focused on building solutions that are reliable, usable, and scalable Interview Process Recruiter screen Technical and practical Power BI discussion Final stage interview focused on delivery approach and stakeholder engagement What's In It For You? Out-of-home Advertising is a well-established medium undergoing a digital revolution, and one we believe we are uniquely positioned to capture. You will be at the forefront of this journey, working with your peers to lead the way. As part of this you will get to grow and learn by working with the latest tech, joining with innovate partners, and working with great colleagues on a day-to-day basis. The package will also include: Hybrid working model with regular office presence to build team culture and relationships. 25 paid holidays Company Pension Scheme paid up to 8% Healthcare Cash Plan Life Insurance and group income protection scheme Cycle to work scheme Enhanced Maternity & Paternity Cover
Role: Data & ML Engineer Location: Newcastle Upon Tyne Levels: Senior Analyst, Specialist Experience Level: 3+ years Please Note:Due to the nature of client work you will be undertaking, you will need to be willing to go through a Security Clearance (Including BPSS) process as part of this role, which requires 5+ years UK address history at the point of application. Hybrid Working: Please note - This role will require you to work from our Newcastle, Cobalt Business Park office for a minimum of 3 days per week Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge. As a team: Our Advanced Technology Centre is a thriving technology and innovation hub from where we deliver high quality services to a number of private and public sector clients. You'll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways. If you're looking for a challenging career working in a vibrant environment with access to training and a global network of experts, this could be the role for you. As part of our global team, you'll be working with cutting edge technologies and will have the opportunity to develop a wide range of new skills on the job. Role Overview As a Data & ML Engineer, you will design, build, and optimize scalable data pipelines and machine learning solutions. You'll work with client teams to deliver intelligent data products, leveraging modern cloud and AI technologies. Key Responsibilities Design and implement robust data pipelines and ML workflows using Python, SQL, Spark, and Databricks. Develop and deploy machine learning models (including NLP, deep learning, and agentic AI) in production environments. Integrate data from diverse sources, including streaming and batch ingestion, using Azure Data Factory, GCP Dataflow and AWS services. Apply data modelling concepts (e.g., medallion architecture) and ensure data quality and governance. Collaborate with DevOps teams to automate CI/CD and MLOps processes using Azure DevOps, Kubernetes, and Terraform. Visualize and communicate insights using Power BI, Tableau, and PowerApps. Mentor junior engineers and contribute to internal knowledge sharing. Ensure solutions meet security, compliance, and performance standards. Core Data & AI Skills Python, SQL, Spark, Scala Machine Learning, NLP, Deep Learning, Prompt engineering, Agentic AI Data Architecture, Data Modelling, Data Engineering, Data Analysis DevOps & Engineering CI/CD and MLOps (Azure DevOps, GitHub actions, Jenkins, Kubeflow etc) Infrastructure as Code (Terraform, Ansible etc) Containers (Kubernetes, Docker etc) Certifications & Tools Data Visualisation and UI (Power BI, PowerApps, Tableau etc) Data Science Platforms (Databricks, Snowflake etc) Cloud certifications (Azure, AWS, GCP) Cloud Native Data Engineering (Azure Data Factory, AWS Glue, GCP Dataflow etc) Other Requirements At least 3 years experience with large-scale data challenges (big data, distributed systems) Hands on with Infrastructure as Code (Terraform, Ansible) Agile and Waterfall project experience Strong stakeholder management and communication skills Security and compliance awareness Desirable Experience in client-facing roles Industry certifications (e.g., AWS Solution Architect, Azure Data Engineer, GCP Data Engineer) Experience mentoring or managing teams What's in it for you At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes 25 days' vacation per year, private medical insurance and 3 extra days leave per year for charitable work of your choice! Flexibility and mobility are required to deliver this role as there may be requirements to spend time onsite with our clients and partners to enable delivery of the first class services we are known for.
21/05/2026
Full time
Role: Data & ML Engineer Location: Newcastle Upon Tyne Levels: Senior Analyst, Specialist Experience Level: 3+ years Please Note:Due to the nature of client work you will be undertaking, you will need to be willing to go through a Security Clearance (Including BPSS) process as part of this role, which requires 5+ years UK address history at the point of application. Hybrid Working: Please note - This role will require you to work from our Newcastle, Cobalt Business Park office for a minimum of 3 days per week Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge. As a team: Our Advanced Technology Centre is a thriving technology and innovation hub from where we deliver high quality services to a number of private and public sector clients. You'll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways. If you're looking for a challenging career working in a vibrant environment with access to training and a global network of experts, this could be the role for you. As part of our global team, you'll be working with cutting edge technologies and will have the opportunity to develop a wide range of new skills on the job. Role Overview As a Data & ML Engineer, you will design, build, and optimize scalable data pipelines and machine learning solutions. You'll work with client teams to deliver intelligent data products, leveraging modern cloud and AI technologies. Key Responsibilities Design and implement robust data pipelines and ML workflows using Python, SQL, Spark, and Databricks. Develop and deploy machine learning models (including NLP, deep learning, and agentic AI) in production environments. Integrate data from diverse sources, including streaming and batch ingestion, using Azure Data Factory, GCP Dataflow and AWS services. Apply data modelling concepts (e.g., medallion architecture) and ensure data quality and governance. Collaborate with DevOps teams to automate CI/CD and MLOps processes using Azure DevOps, Kubernetes, and Terraform. Visualize and communicate insights using Power BI, Tableau, and PowerApps. Mentor junior engineers and contribute to internal knowledge sharing. Ensure solutions meet security, compliance, and performance standards. Core Data & AI Skills Python, SQL, Spark, Scala Machine Learning, NLP, Deep Learning, Prompt engineering, Agentic AI Data Architecture, Data Modelling, Data Engineering, Data Analysis DevOps & Engineering CI/CD and MLOps (Azure DevOps, GitHub actions, Jenkins, Kubeflow etc) Infrastructure as Code (Terraform, Ansible etc) Containers (Kubernetes, Docker etc) Certifications & Tools Data Visualisation and UI (Power BI, PowerApps, Tableau etc) Data Science Platforms (Databricks, Snowflake etc) Cloud certifications (Azure, AWS, GCP) Cloud Native Data Engineering (Azure Data Factory, AWS Glue, GCP Dataflow etc) Other Requirements At least 3 years experience with large-scale data challenges (big data, distributed systems) Hands on with Infrastructure as Code (Terraform, Ansible) Agile and Waterfall project experience Strong stakeholder management and communication skills Security and compliance awareness Desirable Experience in client-facing roles Industry certifications (e.g., AWS Solution Architect, Azure Data Engineer, GCP Data Engineer) Experience mentoring or managing teams What's in it for you At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes 25 days' vacation per year, private medical insurance and 3 extra days leave per year for charitable work of your choice! Flexibility and mobility are required to deliver this role as there may be requirements to spend time onsite with our clients and partners to enable delivery of the first class services we are known for.
Technology Data Analyst- TMT- Deep SectorApplylocations: London, GBR: Sofia, BGR: France, Paris, 32 rue Blanchetime type: Full timeposted on: Posted 30+ Days Agojob requisition id: R31590FactSet creates flexible, open data and software solutions for over 200,000 investment professionals worldwide, providing instant access to financial data and analytics that investors use to make crucial decisions.At FactSet, our values are the foundation of everything we do. They express how we act and operate, serve as a compass in our decision-making, and play a big role in how we treat each other, our clients, and our communities. We believe that the best ideas can come from anyone, anywhere, at any time, and that curiosity is the key to anticipating our clients' needs and exceeding their expectations. Your Team's Impact FactSet's commitment to our clients, employees, shareholders, and communities is at the core of who we are. Our commitment to corporate citizenship is embedded across our business and reflected in the passion FactSetters bring to their work every day.Deep Sector is FactSet's strategic effort to collect new content, enhance existing fundamentals coverage, and roll out advanced reports and functionality across nine verticals: Banks, Insurance, Real Estate, Power & Utilities, TMT, Metals & Mining, Oil & Gas, Specialty Finance, and Healthcare. Deep Sector data goes far beyond public filings, delivering granular, industry-specific intelligence on public and private companies, assets, transactions, markets, news, and more. We serve professionals across the financial ecosystem - like Investment Bankers, Equity Research Analysts, Portfolio Managers, and others who rely on deep, sector-specific insights. Job Description Join the Deep Sector TMT team as the Technology Data Analyst for FactSet's Technology data offering. You'll help shape and evolve FactSet's Technology datasets by applying your technology industry knowledge, analytical rigor, and client-workflow awareness. You'll help maintain and enhance our existing Tech-sector coverage, integrate new sources across client-facing applications, data feeds, and APIs, and translate client needs into best-in-class product features and workflow solutions. You'll also contribute to defining and executing a strategic roadmap for FactSet's Technology sector offering.This role is ideal for someone with hands-on experience analyzing or advising Technology companies - for example as an equity research analyst, investment banker, buy-side industry analyst, hedge fund analyst, management consultant covering Tech, or a Tech-sector specialist within a financial data or insights platform. What You'll Do • Data Management: Participate directly and indirectly in the extraction, cleaning, and transformation of large, complex datasets, ensuring accuracy, consistency, and timeliness. • Data Validation: Use human-in-the-loop curation and validation tools to ensure data quality evolves with reporting standards and requirements while maintaining timely, complete outputs. • Client Engagement: Partner with FactSet's sales/consulting teams, data providers, and clients to understand workflows, pain points, and feature requests - and to position our offerings against their needs and competitor solutions. • Requirement Definition: Translate qualitative and quantitative client insights into clear product requirements, specifications, and user stories that delight and exceed client expectations. • Cross-Functional Collaboration: Work closely with engineering, QA, UX, other content developers as well as specialized data teams to deliver value to clients. •Presentation & Training: Develop and deliver compelling presentations and demos of FactSet's Technology sector offerings-in person and virtually-to both internal stakeholders and external clients •Partnerships & Opportunities: Monitor the market for data partnership or acquisition opportunities that strengthen FactSet's Technology offering. • Team Development: Mentor and train team members in content collection and integration processes, product workflows, and best practices. • Data Ownership: Identify areas of opportunity where FactSet can own and operate data collection and reduce reliance on third-party data spend What We're Looking For Required Skills A minimum of 3 years working directly with Technology companies or Tech-sector data, ideally through equity research, investment banking, buy-side industry analysis, hedge fund analysis, management consulting, or Tech-focused analytical roles at data/analytics platforms. Strong understanding of how Technology companies operate and report performance, with familiarity across industry metrics, competitive dynamics, and valuation drivers for public and private Tech businesses. Proficiency in data analysis, modeling, and visualization tools (e.g. Excel, Power BI/Tableau, SQL, Python). Hands-on experience preparing, validating, and synthesizing datasets used in financial modeling, research, or decision-support workflows. Familiarity with distributed data systems and cloud platforms (AWS, Azure, Databricks, Snowflake). Exceptional analytical, quantitative, and organizational skills; ability to distill complex information into clear, actionable insights. Strong written and verbal communication skills, including the ability to translate data findings into product requirements, client workflows, and compelling narratives.Desired Skills CFA/CPA designation or capital markets experience a plus What's In It For You At FactSet, our people are our greatest asset, and our culture is our biggest competitive advantage. Being a FactSetter means: Contributing to a firm with over 40 years of consecutive growth, named a 2023 Best Place to Work by Glassdoor. Support for your total well-being. This includes health, life, and disability insurance, as well as retirement savings plans and a discounted employee stock purchase program, plus paid time off for holidays, family leave, and companywide wellness days. Flexible work accommodations. We value work/life harmony and offer our employees a range of accommodations to help them achieve success both at work and in their personal lives. A global community dedicated to volunteerism, sustainability, and inclusivity, where collaboration is always encouraged, and individuality drives solutions. Career progression plans with dedicated time each month for learning and development. Employee-led Business Resource Groups that are wholly supported by Executive Management.Learn more about our benefits here. Returning from a break? We are here to support you! If you have taken time out of the workforce and are looking to return, we encourage you to apply and chat with our recruiters about our available support to help you relaunch your career. At FactSet, we celebrate diversity of thought, experience, and perspective. We are committed to disrupting bias and a transparent hiring process. All qualified applicants will be considered for employment regardless of race, color, ancestry, ethnicity, religion, sex, national origin, gender expression, sexual orientation, age, citizenship, marital status, disability, gender identity, family status or veteran status. FactSet participates in E-Verify. Company Overview: FactSet (NYSE:FDS NASDAQ:FDS) helps the financial community to see more, think bigger, and work better. Our digital platform and enterprise solutions deliver financial data, analytics, and open technology to more than 8,200 global clients, including over 200,000 individual users. Clients across the buy-side and sell-side, as well as wealth managers, private equity firms, and corporations, achieve more every day with our comprehensive and connected content, flexible next-generation workflow solutions, and client-centric specialized support. As a member of the S&P 500, we are committed to sustainable growth and have been recognized among the Best Places to Work in 2023 by Glassdoor as a Glassdoor Employees' Choice Award winner. Learn more at and follow us on X and LinkedIn. At FactSet, we celebrate difference of thought, experience, and perspective. Qualified applicants will be considered for employment without regard to characteristics protected by law.
20/05/2026
Full time
Technology Data Analyst- TMT- Deep SectorApplylocations: London, GBR: Sofia, BGR: France, Paris, 32 rue Blanchetime type: Full timeposted on: Posted 30+ Days Agojob requisition id: R31590FactSet creates flexible, open data and software solutions for over 200,000 investment professionals worldwide, providing instant access to financial data and analytics that investors use to make crucial decisions.At FactSet, our values are the foundation of everything we do. They express how we act and operate, serve as a compass in our decision-making, and play a big role in how we treat each other, our clients, and our communities. We believe that the best ideas can come from anyone, anywhere, at any time, and that curiosity is the key to anticipating our clients' needs and exceeding their expectations. Your Team's Impact FactSet's commitment to our clients, employees, shareholders, and communities is at the core of who we are. Our commitment to corporate citizenship is embedded across our business and reflected in the passion FactSetters bring to their work every day.Deep Sector is FactSet's strategic effort to collect new content, enhance existing fundamentals coverage, and roll out advanced reports and functionality across nine verticals: Banks, Insurance, Real Estate, Power & Utilities, TMT, Metals & Mining, Oil & Gas, Specialty Finance, and Healthcare. Deep Sector data goes far beyond public filings, delivering granular, industry-specific intelligence on public and private companies, assets, transactions, markets, news, and more. We serve professionals across the financial ecosystem - like Investment Bankers, Equity Research Analysts, Portfolio Managers, and others who rely on deep, sector-specific insights. Job Description Join the Deep Sector TMT team as the Technology Data Analyst for FactSet's Technology data offering. You'll help shape and evolve FactSet's Technology datasets by applying your technology industry knowledge, analytical rigor, and client-workflow awareness. You'll help maintain and enhance our existing Tech-sector coverage, integrate new sources across client-facing applications, data feeds, and APIs, and translate client needs into best-in-class product features and workflow solutions. You'll also contribute to defining and executing a strategic roadmap for FactSet's Technology sector offering.This role is ideal for someone with hands-on experience analyzing or advising Technology companies - for example as an equity research analyst, investment banker, buy-side industry analyst, hedge fund analyst, management consultant covering Tech, or a Tech-sector specialist within a financial data or insights platform. What You'll Do • Data Management: Participate directly and indirectly in the extraction, cleaning, and transformation of large, complex datasets, ensuring accuracy, consistency, and timeliness. • Data Validation: Use human-in-the-loop curation and validation tools to ensure data quality evolves with reporting standards and requirements while maintaining timely, complete outputs. • Client Engagement: Partner with FactSet's sales/consulting teams, data providers, and clients to understand workflows, pain points, and feature requests - and to position our offerings against their needs and competitor solutions. • Requirement Definition: Translate qualitative and quantitative client insights into clear product requirements, specifications, and user stories that delight and exceed client expectations. • Cross-Functional Collaboration: Work closely with engineering, QA, UX, other content developers as well as specialized data teams to deliver value to clients. •Presentation & Training: Develop and deliver compelling presentations and demos of FactSet's Technology sector offerings-in person and virtually-to both internal stakeholders and external clients •Partnerships & Opportunities: Monitor the market for data partnership or acquisition opportunities that strengthen FactSet's Technology offering. • Team Development: Mentor and train team members in content collection and integration processes, product workflows, and best practices. • Data Ownership: Identify areas of opportunity where FactSet can own and operate data collection and reduce reliance on third-party data spend What We're Looking For Required Skills A minimum of 3 years working directly with Technology companies or Tech-sector data, ideally through equity research, investment banking, buy-side industry analysis, hedge fund analysis, management consulting, or Tech-focused analytical roles at data/analytics platforms. Strong understanding of how Technology companies operate and report performance, with familiarity across industry metrics, competitive dynamics, and valuation drivers for public and private Tech businesses. Proficiency in data analysis, modeling, and visualization tools (e.g. Excel, Power BI/Tableau, SQL, Python). Hands-on experience preparing, validating, and synthesizing datasets used in financial modeling, research, or decision-support workflows. Familiarity with distributed data systems and cloud platforms (AWS, Azure, Databricks, Snowflake). Exceptional analytical, quantitative, and organizational skills; ability to distill complex information into clear, actionable insights. Strong written and verbal communication skills, including the ability to translate data findings into product requirements, client workflows, and compelling narratives.Desired Skills CFA/CPA designation or capital markets experience a plus What's In It For You At FactSet, our people are our greatest asset, and our culture is our biggest competitive advantage. Being a FactSetter means: Contributing to a firm with over 40 years of consecutive growth, named a 2023 Best Place to Work by Glassdoor. Support for your total well-being. This includes health, life, and disability insurance, as well as retirement savings plans and a discounted employee stock purchase program, plus paid time off for holidays, family leave, and companywide wellness days. Flexible work accommodations. We value work/life harmony and offer our employees a range of accommodations to help them achieve success both at work and in their personal lives. A global community dedicated to volunteerism, sustainability, and inclusivity, where collaboration is always encouraged, and individuality drives solutions. Career progression plans with dedicated time each month for learning and development. Employee-led Business Resource Groups that are wholly supported by Executive Management.Learn more about our benefits here. Returning from a break? We are here to support you! If you have taken time out of the workforce and are looking to return, we encourage you to apply and chat with our recruiters about our available support to help you relaunch your career. At FactSet, we celebrate diversity of thought, experience, and perspective. We are committed to disrupting bias and a transparent hiring process. All qualified applicants will be considered for employment regardless of race, color, ancestry, ethnicity, religion, sex, national origin, gender expression, sexual orientation, age, citizenship, marital status, disability, gender identity, family status or veteran status. FactSet participates in E-Verify. Company Overview: FactSet (NYSE:FDS NASDAQ:FDS) helps the financial community to see more, think bigger, and work better. Our digital platform and enterprise solutions deliver financial data, analytics, and open technology to more than 8,200 global clients, including over 200,000 individual users. Clients across the buy-side and sell-side, as well as wealth managers, private equity firms, and corporations, achieve more every day with our comprehensive and connected content, flexible next-generation workflow solutions, and client-centric specialized support. As a member of the S&P 500, we are committed to sustainable growth and have been recognized among the Best Places to Work in 2023 by Glassdoor as a Glassdoor Employees' Choice Award winner. Learn more at and follow us on X and LinkedIn. At FactSet, we celebrate difference of thought, experience, and perspective. Qualified applicants will be considered for employment without regard to characteristics protected by law.
Senior Data Engineer - up to 58,000 - Hybrid (Newport 1 day a week) The Opportunity Yolk Recruitment Public Sector & Not-for-Profit team has partnered with a specialised Civil Service Organisation who are presently undergoing an interesting transformation into the cloud space. We are supporting them to recruit a Senior Data Engineer. This role is ideal for any data engineer who has extensive experience with Azure Data Factory and Python. What the Senior Data Engineer will be doing You will be supporting the Data Engineering Lead and working closely with the Data Management and Business Intelligence teams in order to build solutions, pipelines and plans using the current frameworks and toolkits. Help develop world class data engineering capabilities Own data engineering artefacts for data pipelines you will build Prioritise data enhancements and plans alongside the IPO teams Ensure the ease of data movement internally and externally What the successful Senior Data Engineer will bring to the team You will have actively used Azure Data Factory (ADF) and DataBricks as well as being proficient in Python. Evidence of designing coding testing and correcting simple programs and scripts. Ability to design solutions that are scalable and future-proof data services. Experience cleansing data sets then formatting and preparing them Experience of Data Modelling and Data Governance Here's What You'll Get in Return Pension scheme up to 27.9% Salary of up to 58,000 Full Flexi-Time - Work your 37.5 hours on any schedule between 5am and 10pm Accrued Time - If you work 37.5 hours in 4 days, you can have the fifth day off Unlimited Pluralsight learning videos 25 Days annual leave PLUS Bank Holidays (Increasing to 30 days) Think this one's for you If you think this Senior Data Engineer opportunity is for you then please apply online. Yolk Public Sector & Not-for-Profit team works with organisations across the UK to fulfil their recruitment needs and to achieve their D&I objectives. We recruit temporary, contract and permanent hires for 1 off specialist needs or for volume campaigns. We support our applicants to navigate the public sector recruitment processes and secure their dream jobs. Yolk Recruitment is an equal opportunities employer and embraces diversity in our workforce. We employ the best people for the job at hand and actively encourage applications from all qualified candidates, regardless of gender, age, race, religion, sexual orientation, disability, educational background, parental status, gender identity or any other protected characteristic. We champion and celebrate diversity at Yolk allowing our team to bring their whole selves to work.
18/05/2026
Full time
Senior Data Engineer - up to 58,000 - Hybrid (Newport 1 day a week) The Opportunity Yolk Recruitment Public Sector & Not-for-Profit team has partnered with a specialised Civil Service Organisation who are presently undergoing an interesting transformation into the cloud space. We are supporting them to recruit a Senior Data Engineer. This role is ideal for any data engineer who has extensive experience with Azure Data Factory and Python. What the Senior Data Engineer will be doing You will be supporting the Data Engineering Lead and working closely with the Data Management and Business Intelligence teams in order to build solutions, pipelines and plans using the current frameworks and toolkits. Help develop world class data engineering capabilities Own data engineering artefacts for data pipelines you will build Prioritise data enhancements and plans alongside the IPO teams Ensure the ease of data movement internally and externally What the successful Senior Data Engineer will bring to the team You will have actively used Azure Data Factory (ADF) and DataBricks as well as being proficient in Python. Evidence of designing coding testing and correcting simple programs and scripts. Ability to design solutions that are scalable and future-proof data services. Experience cleansing data sets then formatting and preparing them Experience of Data Modelling and Data Governance Here's What You'll Get in Return Pension scheme up to 27.9% Salary of up to 58,000 Full Flexi-Time - Work your 37.5 hours on any schedule between 5am and 10pm Accrued Time - If you work 37.5 hours in 4 days, you can have the fifth day off Unlimited Pluralsight learning videos 25 Days annual leave PLUS Bank Holidays (Increasing to 30 days) Think this one's for you If you think this Senior Data Engineer opportunity is for you then please apply online. Yolk Public Sector & Not-for-Profit team works with organisations across the UK to fulfil their recruitment needs and to achieve their D&I objectives. We recruit temporary, contract and permanent hires for 1 off specialist needs or for volume campaigns. We support our applicants to navigate the public sector recruitment processes and secure their dream jobs. Yolk Recruitment is an equal opportunities employer and embraces diversity in our workforce. We employ the best people for the job at hand and actively encourage applications from all qualified candidates, regardless of gender, age, race, religion, sexual orientation, disability, educational background, parental status, gender identity or any other protected characteristic. We champion and celebrate diversity at Yolk allowing our team to bring their whole selves to work.
Senior Data Engineer - up to £58,000 - Hybrid (Newport 1 day a week) The Opportunity Yolk Recruitment Public Sector & Not-for-Profit team has partnered with a specialised Civil Service Organisation who are presently undergoing an interesting transformation into the cloud space. We are supporting them to recruit a Senior Data Engineer. This role is ideal for any data engineer who has extensive experience with Azure Data Factory and Python. What the Senior Data Engineer will be doing You will be supporting the Data Engineering Lead and working closely with the Data Management and Business Intelligence teams in order to build solutions, pipelines and plans using the current frameworks and toolkits. Help develop world class data engineering capabilities Own data engineering artefacts for data pipelines you will build Prioritise data enhancements and plans alongside the IPO teams Ensure the ease of data movement internally and externally What the successful Senior Data Engineer will bring to the team You will have actively used Azure Data Factory (ADF) and DataBricks as well as being proficient in Python. Evidence of designing coding testing and correcting simple programs and scripts. Ability to design solutions that are scalable and future-proof data services. Experience cleansing data sets then formatting and preparing them Experience of Data Modelling and Data Governance Here's What You'll Get in Return Pension scheme up to 27.9% Salary of up to £58,000 Full Flexi-Time - Work your 37.5 hours on any schedule between 5am and 10pm Accrued Time - If you work 37.5 hours in 4 days, you can have the fifth day off Unlimited Pluralsight learning videos 25 Days annual leave PLUS Bank Holidays (Increasing to 30 days) Think this one's for you If you think this Senior Data Engineer opportunity is for you then please apply online. Yolk Public Sector & Not-for-Profit team works with organisations across the UK to fulfil their recruitment needs and to achieve their D&I objectives. We recruit temporary, contract and permanent hires for 1 off specialist needs or for volume campaigns. We support our applicants to navigate the public sector recruitment processes and secure their dream jobs. Yolk Recruitment is an equal opportunities employer and embraces diversity in our workforce. We employ the best people for the job at hand and actively encourage applications from all qualified candidates, regardless of gender, age, race, religion, sexual orientation, disability, educational background, parental status, gender identity or any other protected characteristic. We champion and celebrate diversity at Yolk allowing our team to bring their whole selves to work.
18/05/2026
Full time
Senior Data Engineer - up to £58,000 - Hybrid (Newport 1 day a week) The Opportunity Yolk Recruitment Public Sector & Not-for-Profit team has partnered with a specialised Civil Service Organisation who are presently undergoing an interesting transformation into the cloud space. We are supporting them to recruit a Senior Data Engineer. This role is ideal for any data engineer who has extensive experience with Azure Data Factory and Python. What the Senior Data Engineer will be doing You will be supporting the Data Engineering Lead and working closely with the Data Management and Business Intelligence teams in order to build solutions, pipelines and plans using the current frameworks and toolkits. Help develop world class data engineering capabilities Own data engineering artefacts for data pipelines you will build Prioritise data enhancements and plans alongside the IPO teams Ensure the ease of data movement internally and externally What the successful Senior Data Engineer will bring to the team You will have actively used Azure Data Factory (ADF) and DataBricks as well as being proficient in Python. Evidence of designing coding testing and correcting simple programs and scripts. Ability to design solutions that are scalable and future-proof data services. Experience cleansing data sets then formatting and preparing them Experience of Data Modelling and Data Governance Here's What You'll Get in Return Pension scheme up to 27.9% Salary of up to £58,000 Full Flexi-Time - Work your 37.5 hours on any schedule between 5am and 10pm Accrued Time - If you work 37.5 hours in 4 days, you can have the fifth day off Unlimited Pluralsight learning videos 25 Days annual leave PLUS Bank Holidays (Increasing to 30 days) Think this one's for you If you think this Senior Data Engineer opportunity is for you then please apply online. Yolk Public Sector & Not-for-Profit team works with organisations across the UK to fulfil their recruitment needs and to achieve their D&I objectives. We recruit temporary, contract and permanent hires for 1 off specialist needs or for volume campaigns. We support our applicants to navigate the public sector recruitment processes and secure their dream jobs. Yolk Recruitment is an equal opportunities employer and embraces diversity in our workforce. We employ the best people for the job at hand and actively encourage applications from all qualified candidates, regardless of gender, age, race, religion, sexual orientation, disability, educational background, parental status, gender identity or any other protected characteristic. We champion and celebrate diversity at Yolk allowing our team to bring their whole selves to work.
Process Automation & Digitalization Specialist Location: Manchester Rate: £30 (An hour) Duration: 12 Months Initially Location: Manchester IR35: Inside (Must use an umbrella company) Key Responsibilities Process Automation: Identify, design, and implement automation solutions (workflow automation, automated reporting, data validation, milestone monitoring, exception management, document processing, and notification workflows) to eliminate manual tasks in supply operations processes AI & Analytics: Support development based on AI/ML-based tools for decision support, data analysis, predictive capabilities, and operational insights within Supply Operations team Digitalization: Support the digital transformation roadmap by building prototypes, proof-of-concepts, dashboards, Power Apps, and scalable digital solutions Integration: Connect automation solutions with existing systems (SAP S/4HANA, planning tools, reporting platforms, SharePoint, Microsoft Power Platform, and visibility tools) Documentation & Knowledge Transfer: Create technical documentation, process guides, and user training materials to ensure sustainability beyond the contract period Stakeholder Collaboration: Work with Supply Operations team (Logistics & Order Management Europe (ELOM), Planning & Customs), operations leads, and IT to understand pain points and translate them into practical technical solutions Continuous Improvement: Proactively identify opportunities for simplification, standardization, and efficiency improvements across operational and reporting processes Required Skills & Experience: Degree in Computer Science, Engineering, Data Science, Supply Chain Analytics, or related technical discipline Proven experience in process automation (Python, Power Automate, Power Apps, UiPath, or similar technologies) Working knowledge of AI/ML tools and frameworks (e.g., machine learning libraries, NLP, generative AI applications, AI copilots, or automation agents) Experience with data manipulation and visualization (SQL, Power BI, Databricks, Excel automation, or equivalent) Familiarity with ERP systems (SAP S/4HANA preferred) Experience working with APIs, system integrations, and structured/unstructured data sources Ability to work independently, manage multiple workstreams, and deliver within tight timescales Strong communication skills with the ability to translate technical concepts into business-friendly language for non-technical stakeholders Desirable: Experience in supply chain, logistics, or manufacturing environments Familiarity with SAP S/4HANA, APO, OTM, or logistics visibility platforms Experience with API integrations and cloud platforms (Azure preferred) Exposure to Agile or iterative delivery methods Knowledge of Microsoft Power Platform ecosystem (Power BI, Power Apps, Power Automate) Experience supporting digital transformation or automation initiatives in operational environments
18/05/2026
Contractor
Process Automation & Digitalization Specialist Location: Manchester Rate: £30 (An hour) Duration: 12 Months Initially Location: Manchester IR35: Inside (Must use an umbrella company) Key Responsibilities Process Automation: Identify, design, and implement automation solutions (workflow automation, automated reporting, data validation, milestone monitoring, exception management, document processing, and notification workflows) to eliminate manual tasks in supply operations processes AI & Analytics: Support development based on AI/ML-based tools for decision support, data analysis, predictive capabilities, and operational insights within Supply Operations team Digitalization: Support the digital transformation roadmap by building prototypes, proof-of-concepts, dashboards, Power Apps, and scalable digital solutions Integration: Connect automation solutions with existing systems (SAP S/4HANA, planning tools, reporting platforms, SharePoint, Microsoft Power Platform, and visibility tools) Documentation & Knowledge Transfer: Create technical documentation, process guides, and user training materials to ensure sustainability beyond the contract period Stakeholder Collaboration: Work with Supply Operations team (Logistics & Order Management Europe (ELOM), Planning & Customs), operations leads, and IT to understand pain points and translate them into practical technical solutions Continuous Improvement: Proactively identify opportunities for simplification, standardization, and efficiency improvements across operational and reporting processes Required Skills & Experience: Degree in Computer Science, Engineering, Data Science, Supply Chain Analytics, or related technical discipline Proven experience in process automation (Python, Power Automate, Power Apps, UiPath, or similar technologies) Working knowledge of AI/ML tools and frameworks (e.g., machine learning libraries, NLP, generative AI applications, AI copilots, or automation agents) Experience with data manipulation and visualization (SQL, Power BI, Databricks, Excel automation, or equivalent) Familiarity with ERP systems (SAP S/4HANA preferred) Experience working with APIs, system integrations, and structured/unstructured data sources Ability to work independently, manage multiple workstreams, and deliver within tight timescales Strong communication skills with the ability to translate technical concepts into business-friendly language for non-technical stakeholders Desirable: Experience in supply chain, logistics, or manufacturing environments Familiarity with SAP S/4HANA, APO, OTM, or logistics visibility platforms Experience with API integrations and cloud platforms (Azure preferred) Exposure to Agile or iterative delivery methods Knowledge of Microsoft Power Platform ecosystem (Power BI, Power Apps, Power Automate) Experience supporting digital transformation or automation initiatives in operational environments
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 active SC 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.
18/05/2026
Contractor
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 active SC 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.
New Business Development Manager - Data, AI & Observability Solutions Location: UK or India Company Overview GIOS Technology Limited is a specialist technology consultancy and recruitment business focused on Data, AI, Search, Observability, Cyber Security, and Cloud solutions. We partner with leading technology vendors including Elastic, Cloudera, AWS Open Search, Google Cloud, and Qlik to help enterprise organisations modernise their data platforms, improve operational visibility, strengthen cyber resilience, and accelerate AI adoption. Our clients include organisations across (but not limited to) Banking, Financial Services, Telecoms, and the Public Sector. Role Overview We are looking for a highly driven and commercially focused New Business Development Managers with a strong understanding of the modern data and analytics ecosystem. This role is ideal for someone who understands enterprise technology sales and can confidently engage with CIOs, Heads of Data, Security Leaders, Platform Teams, and Digital Transformation stakeholders. You will be responsible for identifying, developing, and winning new business opportunities across: Data & Analytics AI & GenAI Observability SIEM & Cyber Security Search & Enterprise AI Cloud Data Platforms Professional Services & Recruitment Solutions Key Responsibilities Generate and qualify new business opportunities across enterprise accounts Build relationships with senior technology and business stakeholders Drive sales opportunities for consulting, managed services, and recruitment offerings Identify customer challenges around: Data visibility Real Time analytics AI enablement Security operations Regulatory compliance Cloud modernisation Work closely with technical architects and leadership teams to shape solutions Manage the full sales life cycle from prospecting through to closure Build and maintain strong pipelines Collaborate with vendor partners including Elastic, Cloudera, and AWS Support marketing campaigns, events, webinars, and GTM initiatives Required Skills & Experience Essential Proven experience in New Business Development/Technology Sales Strong understanding of: Data Platforms Big Data AI/GenAI Observability SIEM/Cyber Security Cloud technologies Experience selling enterprise technology solutions or professional services Excellent communication and stakeholder management skills Ability to engage both technical and non-technical audiences Strong networking and relationship-building capability Experience working with enterprise clients Preferred Experience with one or more of the following technologies/vendors: Elastic Cloudera AWS Google Cloud Snowflake Databricks Qlik What We're Looking For Entrepreneurial mindset Commercially driven Passionate about emerging technologies Confident presenting to all levels including senior stakeholders Self-motivated and target-oriented Strong understanding of the modern enterprise data landscape What We Offer Opportunity to work with leading global technology vendors Exposure to enterprise digital transformation programmes Fast-growing and entrepreneurial environment Career progression opportunities Competitive salary + commission structure International exposure across UK, EMEA, APAC, and India markets Apply Now If you are passionate about Data, AI, Security, and helping organisations transform through technology, we would love to hear from you. Please send your CV to: (see below)
18/05/2026
Full time
New Business Development Manager - Data, AI & Observability Solutions Location: UK or India Company Overview GIOS Technology Limited is a specialist technology consultancy and recruitment business focused on Data, AI, Search, Observability, Cyber Security, and Cloud solutions. We partner with leading technology vendors including Elastic, Cloudera, AWS Open Search, Google Cloud, and Qlik to help enterprise organisations modernise their data platforms, improve operational visibility, strengthen cyber resilience, and accelerate AI adoption. Our clients include organisations across (but not limited to) Banking, Financial Services, Telecoms, and the Public Sector. Role Overview We are looking for a highly driven and commercially focused New Business Development Managers with a strong understanding of the modern data and analytics ecosystem. This role is ideal for someone who understands enterprise technology sales and can confidently engage with CIOs, Heads of Data, Security Leaders, Platform Teams, and Digital Transformation stakeholders. You will be responsible for identifying, developing, and winning new business opportunities across: Data & Analytics AI & GenAI Observability SIEM & Cyber Security Search & Enterprise AI Cloud Data Platforms Professional Services & Recruitment Solutions Key Responsibilities Generate and qualify new business opportunities across enterprise accounts Build relationships with senior technology and business stakeholders Drive sales opportunities for consulting, managed services, and recruitment offerings Identify customer challenges around: Data visibility Real Time analytics AI enablement Security operations Regulatory compliance Cloud modernisation Work closely with technical architects and leadership teams to shape solutions Manage the full sales life cycle from prospecting through to closure Build and maintain strong pipelines Collaborate with vendor partners including Elastic, Cloudera, and AWS Support marketing campaigns, events, webinars, and GTM initiatives Required Skills & Experience Essential Proven experience in New Business Development/Technology Sales Strong understanding of: Data Platforms Big Data AI/GenAI Observability SIEM/Cyber Security Cloud technologies Experience selling enterprise technology solutions or professional services Excellent communication and stakeholder management skills Ability to engage both technical and non-technical audiences Strong networking and relationship-building capability Experience working with enterprise clients Preferred Experience with one or more of the following technologies/vendors: Elastic Cloudera AWS Google Cloud Snowflake Databricks Qlik What We're Looking For Entrepreneurial mindset Commercially driven Passionate about emerging technologies Confident presenting to all levels including senior stakeholders Self-motivated and target-oriented Strong understanding of the modern enterprise data landscape What We Offer Opportunity to work with leading global technology vendors Exposure to enterprise digital transformation programmes Fast-growing and entrepreneurial environment Career progression opportunities Competitive salary + commission structure International exposure across UK, EMEA, APAC, and India markets Apply Now If you are passionate about Data, AI, Security, and helping organisations transform through technology, we would love to hear from you. Please send your CV to: (see below)
About the team At OSB Group, we're building a modern, resilient technology estate to support our specialist lending businesses and, most importantly, our customers. We're passionate about doing the right thing and creating an environment where talented people can thrive and make a real impact. As our Cloud platforms continue to evolve, we're looking for a Cloud Engineer to join us and help design, build and secure the foundations that power our Azure and hybrid cloud environments. This is a hands on delivery focussed engineering role within our Cloud Core team, where you'll play a key part in implementing and maintaining secure, scalable cloud services across OSB Group. The role can be based from our Wolverhampton, London or Chatham offices with flexibility to operate across within our hybrid policy. What you will be doing? As a Cloud Engineer you will work on incidents raised ensuring the continuity of services and fixing tech impediments supporting both cloud and on prem components and will bring your experience to help evolve the security roadmap at OSB and unlock new Cloud capabilities for our teams. Your responsibilities will include: Design, build and maintain secure, scalable and cost effective cloud infrastructure across Azure and AWS. Create and manage foundational cloud services including Landing Zones, VNETs/VPCs, IAM, logging and monitoring. Develop and maintain Infrastructure as Code using tools such as Terraform, ARM/Bicep or CloudFormation, integrated with CI/CD pipelines. Automate cloud provisioning, deployments and configuration management, embedding policy as code and governance guardrails. Apply cloud native security controls and work closely with Information Security teams to embed security by design. Design and operate centralised observability solutions, supporting incident management, SRE practices and service continuity. Work collaboratively with internal teams and vendor partners, maintaining strong compliance with risk, data governance and training requirements. What's in it for you? Base salary between £57,000 - £67,000 dependent upon experience Enhanced family focused benefits Annual bonus opportunity up to 15% 28 days annual leave + bank holidays Do you have the skills? We are looking for talented individuals who have the experience and knowledge set out below: Experience as a Cloud Engineer delivering solutions within complex enterprise environments Strong hands on experience engineering cloud platforms, with expertise in Azure, AWS or GCP Proven experience building and maintaining Infrastructure as Code using Terraform or Azure DevOps and supporting CI/CD pipelines. Confidence automating infrastructure and operational tasks using Python and/or PowerShell Experience with container platforms such as AKS, EKS or ECS. Exposure to cloud data and streaming platforms (such as Data Lake, Kafka, Databricks or Data Factory) A collaborative mindset, with the ability to work across teams, share knowledge and continuously improve how we work. Diversity, Equity & Inclusion We champion diversity at all levels, with Board level Diversity Champions tracking our progress. We are proud to be signed up to the Women in Finance Charter to actively support the growth and development of senior women in our sector and are dedicated to treating all our employees and job applicants equally, opposed to discrimination on any grounds.
18/05/2026
Full time
About the team At OSB Group, we're building a modern, resilient technology estate to support our specialist lending businesses and, most importantly, our customers. We're passionate about doing the right thing and creating an environment where talented people can thrive and make a real impact. As our Cloud platforms continue to evolve, we're looking for a Cloud Engineer to join us and help design, build and secure the foundations that power our Azure and hybrid cloud environments. This is a hands on delivery focussed engineering role within our Cloud Core team, where you'll play a key part in implementing and maintaining secure, scalable cloud services across OSB Group. The role can be based from our Wolverhampton, London or Chatham offices with flexibility to operate across within our hybrid policy. What you will be doing? As a Cloud Engineer you will work on incidents raised ensuring the continuity of services and fixing tech impediments supporting both cloud and on prem components and will bring your experience to help evolve the security roadmap at OSB and unlock new Cloud capabilities for our teams. Your responsibilities will include: Design, build and maintain secure, scalable and cost effective cloud infrastructure across Azure and AWS. Create and manage foundational cloud services including Landing Zones, VNETs/VPCs, IAM, logging and monitoring. Develop and maintain Infrastructure as Code using tools such as Terraform, ARM/Bicep or CloudFormation, integrated with CI/CD pipelines. Automate cloud provisioning, deployments and configuration management, embedding policy as code and governance guardrails. Apply cloud native security controls and work closely with Information Security teams to embed security by design. Design and operate centralised observability solutions, supporting incident management, SRE practices and service continuity. Work collaboratively with internal teams and vendor partners, maintaining strong compliance with risk, data governance and training requirements. What's in it for you? Base salary between £57,000 - £67,000 dependent upon experience Enhanced family focused benefits Annual bonus opportunity up to 15% 28 days annual leave + bank holidays Do you have the skills? We are looking for talented individuals who have the experience and knowledge set out below: Experience as a Cloud Engineer delivering solutions within complex enterprise environments Strong hands on experience engineering cloud platforms, with expertise in Azure, AWS or GCP Proven experience building and maintaining Infrastructure as Code using Terraform or Azure DevOps and supporting CI/CD pipelines. Confidence automating infrastructure and operational tasks using Python and/or PowerShell Experience with container platforms such as AKS, EKS or ECS. Exposure to cloud data and streaming platforms (such as Data Lake, Kafka, Databricks or Data Factory) A collaborative mindset, with the ability to work across teams, share knowledge and continuously improve how we work. Diversity, Equity & Inclusion We champion diversity at all levels, with Board level Diversity Champions tracking our progress. We are proud to be signed up to the Women in Finance Charter to actively support the growth and development of senior women in our sector and are dedicated to treating all our employees and job applicants equally, opposed to discrimination on any grounds.
ONYX Insight is seeking an ML Engineer to join our Advanced Analytics team on a 6 month contract, focusing on building and deploying production grade machine learning solutions for the renewable energy sector. The Role This is a delivery focused contract role, ideal for an ML Engineer who enjoys turning models into scalable, high quality software. You'll work closely with Data Scientists and Software Engineers to productionise AI models used in wind turbine condition monitoring and predictive maintenance. Key Responsibilities Design, build and maintain production ML services and APIs Implement model inference pipelines and optimise performance Develop robust data and feature pipelines integrating cloud data sources Write clean, testable, well documented code following modern software engineering practices Containerise and deploy ML solutions using Docker and CI/CD pipelines Support model deployment, monitoring and performance evaluation in live environments About You 3+ years' experience in ML Engineering or applied ML Strong commercial experience with Python and C# /.NET Experience deploying ML models into production environments Familiar with cloud platforms (AWS and/or Databricks preferred) Confident working end to end - from prototype to live system Background experience in industrial analytics, renewable energy, or condition monitoring is advantageous but not required. About ONYX ONYX Insight is a growing technology and engineering organisation in the renewable energy sector. Our vision is to build a more efficient future by becoming the world's most innovative provider of predictive technology solutions. Our advanced sensing, software and analytics combined with our engineering experience are deployed on wind turbines around the world to maximise production and make turbines more reliable for longer, optimising energy production. ONYX Insight is part of the Macquarie Group. Macquarie is a global financial services group operating in 34 markets in asset management, leasing and asset financing, market access, commodity trading, renewables development, specialist advisory services, capital raising and principal investment. The diversity of the Macquarie Group operations combined with a strong capital position and robust risk management framework has contributed to a 54 year-record of unbroken profitability. For any further information, or to understand our products and services better, please feel free to look through our website: ONYX Insight are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Recruitment Agencies We prioritise sourcing candidates directly wherever possible. For specific roles, we may engage preferred suppliers, invited by our Talent Acquisition Team, to support the process. CVs from other suppliers may be considered on an ad hoc basis, subject to prior written agreement. We will not be liable for fees related to CVs or profiles submitted directly to ONYX Insight employees outside of the agreed resourcing process. Agencies must liaise with our Talent Acquisition Team before submitting any unsolicited applications.
18/05/2026
Full time
ONYX Insight is seeking an ML Engineer to join our Advanced Analytics team on a 6 month contract, focusing on building and deploying production grade machine learning solutions for the renewable energy sector. The Role This is a delivery focused contract role, ideal for an ML Engineer who enjoys turning models into scalable, high quality software. You'll work closely with Data Scientists and Software Engineers to productionise AI models used in wind turbine condition monitoring and predictive maintenance. Key Responsibilities Design, build and maintain production ML services and APIs Implement model inference pipelines and optimise performance Develop robust data and feature pipelines integrating cloud data sources Write clean, testable, well documented code following modern software engineering practices Containerise and deploy ML solutions using Docker and CI/CD pipelines Support model deployment, monitoring and performance evaluation in live environments About You 3+ years' experience in ML Engineering or applied ML Strong commercial experience with Python and C# /.NET Experience deploying ML models into production environments Familiar with cloud platforms (AWS and/or Databricks preferred) Confident working end to end - from prototype to live system Background experience in industrial analytics, renewable energy, or condition monitoring is advantageous but not required. About ONYX ONYX Insight is a growing technology and engineering organisation in the renewable energy sector. Our vision is to build a more efficient future by becoming the world's most innovative provider of predictive technology solutions. Our advanced sensing, software and analytics combined with our engineering experience are deployed on wind turbines around the world to maximise production and make turbines more reliable for longer, optimising energy production. ONYX Insight is part of the Macquarie Group. Macquarie is a global financial services group operating in 34 markets in asset management, leasing and asset financing, market access, commodity trading, renewables development, specialist advisory services, capital raising and principal investment. The diversity of the Macquarie Group operations combined with a strong capital position and robust risk management framework has contributed to a 54 year-record of unbroken profitability. For any further information, or to understand our products and services better, please feel free to look through our website: ONYX Insight are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Recruitment Agencies We prioritise sourcing candidates directly wherever possible. For specific roles, we may engage preferred suppliers, invited by our Talent Acquisition Team, to support the process. CVs from other suppliers may be considered on an ad hoc basis, subject to prior written agreement. We will not be liable for fees related to CVs or profiles submitted directly to ONYX Insight employees outside of the agreed resourcing process. Agencies must liaise with our Talent Acquisition Team before submitting any unsolicited applications.
REQ ID: FEQ227R246 Location: London, UK Recruiter: Dina Hussain At Databricks, our core values are at the heart of everything we do; a culture of proactiveness and a customer centric mindset guide us to build a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer focused team that values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. You will engage with our largest and most complex customers across the region to advise them on adopting the Databricks Data Intelligence Platform, in collaboration with a world class, cross functional team of Solutions Architects, Account Executives, and technology Specialists. You will work closely with a small group of customers and their account teams to help them respond to key business opportunities and challenges. Join us in our quest to change how people work with data and make a better world! The impact you will have: Engage with some of Databricks' most complex customers to help them achieve their unified platform goals. Develop and execute customer engagement strategies in partnership with the Account Executives and Solutions Architects in your designated accounts. You will coach core account teams and peers on positioning, adoption strategies and execution to achieve your outcomes in a defined timeline. You will influence stakeholders at all levels through complex engagements with the wider cloud ecosystem and 3rd party applications, ensuring they are excited about the Databricks vision and solution strategy. Be a 'champion' for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Lakehouse platform. Contribute to Databricks' technical community engagement by developing customer facing collateral and leading workshops, seminars, and meet ups. Opportunity to continue your development in one of four tracks - technical specialisation, industry vertical thought leadership, strategic customer vision, and people management. What we look for: Know how to engage in complex customer interactions and sales lifecycle in a technical pre sales capacity. You will have a technical background in Data Engineering or Data Warehousing (DWH) or a Machine Learning/AI background You will be working with our Utilities customers, focusing on establishing the Databricks Data Intelligence Platform as their platform of choice. You will have a builder mindset, you instinctively prototype, create demos, and craft tailored solutions rather than relying only on slide decks. You turn customer challenges into hands on proof points that accelerate confidence. You will enjoy a high degree of autonomy and thrive in working with ambiguous requirements and challenging customer environments. Ability to influence influential decision makers and C level executives through developing relationships and orchestrating teams to achieve long term success for customers. Prior experience with coding in a core programming language (i.e., Python or SQL) and willingness to learn a base level of Spark. Hands on expertise with complex proofs of concept and public cloud platform(s) across AWS, Azure and Google. Know how to provide technical solutions for specialised customer needs and navigate a competitive landscape. Nice to have: Databricks Certification Up to 30-40% travel to London offices and customer sites Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
16/05/2026
Full time
REQ ID: FEQ227R246 Location: London, UK Recruiter: Dina Hussain At Databricks, our core values are at the heart of everything we do; a culture of proactiveness and a customer centric mindset guide us to build a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer focused team that values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. You will engage with our largest and most complex customers across the region to advise them on adopting the Databricks Data Intelligence Platform, in collaboration with a world class, cross functional team of Solutions Architects, Account Executives, and technology Specialists. You will work closely with a small group of customers and their account teams to help them respond to key business opportunities and challenges. Join us in our quest to change how people work with data and make a better world! The impact you will have: Engage with some of Databricks' most complex customers to help them achieve their unified platform goals. Develop and execute customer engagement strategies in partnership with the Account Executives and Solutions Architects in your designated accounts. You will coach core account teams and peers on positioning, adoption strategies and execution to achieve your outcomes in a defined timeline. You will influence stakeholders at all levels through complex engagements with the wider cloud ecosystem and 3rd party applications, ensuring they are excited about the Databricks vision and solution strategy. Be a 'champion' for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Lakehouse platform. Contribute to Databricks' technical community engagement by developing customer facing collateral and leading workshops, seminars, and meet ups. Opportunity to continue your development in one of four tracks - technical specialisation, industry vertical thought leadership, strategic customer vision, and people management. What we look for: Know how to engage in complex customer interactions and sales lifecycle in a technical pre sales capacity. You will have a technical background in Data Engineering or Data Warehousing (DWH) or a Machine Learning/AI background You will be working with our Utilities customers, focusing on establishing the Databricks Data Intelligence Platform as their platform of choice. You will have a builder mindset, you instinctively prototype, create demos, and craft tailored solutions rather than relying only on slide decks. You turn customer challenges into hands on proof points that accelerate confidence. You will enjoy a high degree of autonomy and thrive in working with ambiguous requirements and challenging customer environments. Ability to influence influential decision makers and C level executives through developing relationships and orchestrating teams to achieve long term success for customers. Prior experience with coding in a core programming language (i.e., Python or SQL) and willingness to learn a base level of Spark. Hands on expertise with complex proofs of concept and public cloud platform(s) across AWS, Azure and Google. Know how to provide technical solutions for specialised customer needs and navigate a competitive landscape. Nice to have: Databricks Certification Up to 30-40% travel to London offices and customer sites Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Choose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Your locationYour locationIndustriesChoose a partner with intimate knowledge of your industry and first-hand experience of defining its future.# Senior Manager - Enterprise Data & Analytics - Analytics & InsightsLondon, Manchester, Glasgow Senior Manager - Enterprise Data and Analytics - Analytics and InsightsAt Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. Your RoleJoin a dynamic and growing team of analytics and AI specialists united by a mission to deliver end-to-end transformations that drive tangible business value. As an Analytics and Insights Senior Manager you will own flagship projects, lead enterprise transformation, and execute innovative solutions to address the complex challenges of our clients.You will be responsible for: Shaping and executing enterprise data transformation: Driving enterprise-level transformation projects, including designing data platforms, establishing robust governance frameworks, and embedding scalable AI and analytics solutions. Leading innovation in AI and analytics: Spearheading the development of generative AI solutions, statistical models, and data visualisations that deliver actionable insights across various industries. Delivering strategic advisory: Acting as a trusted advisor to C-level stakeholders, providing insights that bridge the gap between technical capabilities and business goals. Portfolio and account management: Overseeing diverse project portfolios, managing commercial outcomes, and fostering strong client relationships to ensure sustainable growth. Scaling delivery: Leading multidisciplinary teams in agile and lean environments, ensuring timely delivery of impactful, high-quality solutions. Fostering capability building: Empowering teams through coaching, training, and mentoring to enhance organisational data and AI competencies.This role also provides opportunities to contribute to the broader business through: Business Development - Leading or contributing to proposals, bids, and RFP responses, as well as proposition development and hosting client events. Internal Initiatives - Supporting practice development, operational excellence, recruitment, team activities, and thought leadership via whitepapers and campaign development. Learning & Development - Enhancing skills through certifications, training, and personal career growth aligned with the company's strategic focus. Your ProfileWe are seeking a visionary leader with a blend of technical expertise, consulting acumen, and leadership skills. The ideal candidate will demonstrate most or all of the following: Consulting Experience Proven success in a consulting or client-facing role, including the ability to design and deliver complex data and AI solutions and explain and own their impact. Significant experience managing senior stakeholders and acting as a trusted advisor. Demonstrated capability in agile methodologies, governance, and multi-workstream leadership. Commercial acumen, including proposal writing, project financials, and business development. Ability to simplify the complex and story tell to show outcomes as a product of business and technology transformation with data & AI. Leadership and Coaching A track record of building high-performing teams and mentoring senior professionals. A commitment to fostering inclusive, collaborative, and growth-oriented cultures. Business Relationships Demonstrated ability to cultivate and sustain relationships with senior executives across various industries. Actively participates in Industry networks owning your own relationships and building your profile externally. An passion that is contagious for your chosen Industries. Delivery Excellence Extensive experience in delivery ownership for analytics and AI programmes delivering with global teams and realizing commercial value. Technical Mastery (a combination of the below, not all) Expertise in cloud data platforms (AWS, Azure, GCP) and enterprise data solutions (e.g., Microsoft Fabric, Databricks, Snowflake). Proficiency in programming languages like Python, R, or SQL and experience with Power Platform applications. Strong knowledge of generative AI tools, geospatial analytics, and data modelling. Expertise in Power Platform and Apps components (e.g. Power Apps, Canvas, Model Driven, Automate, Dataverse, or Copilot Studio) Desired Skills Experience in creating reusable assets to drive value with clients and creating 'go to market' strategies to successfully implement with clients. Experience with Agentic and Generative AI solutions in the Business Intelligence landscape. Agile SAFE or similar. Experience in data ingestion, integration, governance, and solution design. Familiarity with data quality frameworks, observability tools, and automation.As a Senior Manager, you will have the opportunity to work at the forefront of AI and analytics innovation, contributing to cutting-edge projects that shape industries. Your leadership will make a tangible impact on clients' digital transformations while advancing your own career in a collaborative and inspiring environment.We are delighted to have received the "Glassdoor Best Places to work UK' accolade for 4 consecutive years, to see what it's like to work at Capgemini Invent, visit our Glassdoor pageWe're also focused on using tech to have a positive social impact. So, we're working to reduce our own carbon footprint and improve everyone's access to a digital world. It's something we're really serious about. In fact, we were even named as one of the world's most ethical companies by the Ethisphere Institute for the 10th year. When you join Capgemini, you'll join a team that does the right thing.Whilst you will have London, Manchester or Glasgow as an office base location, you must be fully flexible in terms of assignment location, as these roles may involve periods of time away from home at short notice.We offer a remuneration package which includes flexible benefits options for you to choose to suit your own personal circumstances and a variable element dependent grade and on company and personal performance.
16/05/2026
Full time
Choose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Your locationYour locationIndustriesChoose a partner with intimate knowledge of your industry and first-hand experience of defining its future.# Senior Manager - Enterprise Data & Analytics - Analytics & InsightsLondon, Manchester, Glasgow Senior Manager - Enterprise Data and Analytics - Analytics and InsightsAt Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. Your RoleJoin a dynamic and growing team of analytics and AI specialists united by a mission to deliver end-to-end transformations that drive tangible business value. As an Analytics and Insights Senior Manager you will own flagship projects, lead enterprise transformation, and execute innovative solutions to address the complex challenges of our clients.You will be responsible for: Shaping and executing enterprise data transformation: Driving enterprise-level transformation projects, including designing data platforms, establishing robust governance frameworks, and embedding scalable AI and analytics solutions. Leading innovation in AI and analytics: Spearheading the development of generative AI solutions, statistical models, and data visualisations that deliver actionable insights across various industries. Delivering strategic advisory: Acting as a trusted advisor to C-level stakeholders, providing insights that bridge the gap between technical capabilities and business goals. Portfolio and account management: Overseeing diverse project portfolios, managing commercial outcomes, and fostering strong client relationships to ensure sustainable growth. Scaling delivery: Leading multidisciplinary teams in agile and lean environments, ensuring timely delivery of impactful, high-quality solutions. Fostering capability building: Empowering teams through coaching, training, and mentoring to enhance organisational data and AI competencies.This role also provides opportunities to contribute to the broader business through: Business Development - Leading or contributing to proposals, bids, and RFP responses, as well as proposition development and hosting client events. Internal Initiatives - Supporting practice development, operational excellence, recruitment, team activities, and thought leadership via whitepapers and campaign development. Learning & Development - Enhancing skills through certifications, training, and personal career growth aligned with the company's strategic focus. Your ProfileWe are seeking a visionary leader with a blend of technical expertise, consulting acumen, and leadership skills. The ideal candidate will demonstrate most or all of the following: Consulting Experience Proven success in a consulting or client-facing role, including the ability to design and deliver complex data and AI solutions and explain and own their impact. Significant experience managing senior stakeholders and acting as a trusted advisor. Demonstrated capability in agile methodologies, governance, and multi-workstream leadership. Commercial acumen, including proposal writing, project financials, and business development. Ability to simplify the complex and story tell to show outcomes as a product of business and technology transformation with data & AI. Leadership and Coaching A track record of building high-performing teams and mentoring senior professionals. A commitment to fostering inclusive, collaborative, and growth-oriented cultures. Business Relationships Demonstrated ability to cultivate and sustain relationships with senior executives across various industries. Actively participates in Industry networks owning your own relationships and building your profile externally. An passion that is contagious for your chosen Industries. Delivery Excellence Extensive experience in delivery ownership for analytics and AI programmes delivering with global teams and realizing commercial value. Technical Mastery (a combination of the below, not all) Expertise in cloud data platforms (AWS, Azure, GCP) and enterprise data solutions (e.g., Microsoft Fabric, Databricks, Snowflake). Proficiency in programming languages like Python, R, or SQL and experience with Power Platform applications. Strong knowledge of generative AI tools, geospatial analytics, and data modelling. Expertise in Power Platform and Apps components (e.g. Power Apps, Canvas, Model Driven, Automate, Dataverse, or Copilot Studio) Desired Skills Experience in creating reusable assets to drive value with clients and creating 'go to market' strategies to successfully implement with clients. Experience with Agentic and Generative AI solutions in the Business Intelligence landscape. Agile SAFE or similar. Experience in data ingestion, integration, governance, and solution design. Familiarity with data quality frameworks, observability tools, and automation.As a Senior Manager, you will have the opportunity to work at the forefront of AI and analytics innovation, contributing to cutting-edge projects that shape industries. Your leadership will make a tangible impact on clients' digital transformations while advancing your own career in a collaborative and inspiring environment.We are delighted to have received the "Glassdoor Best Places to work UK' accolade for 4 consecutive years, to see what it's like to work at Capgemini Invent, visit our Glassdoor pageWe're also focused on using tech to have a positive social impact. So, we're working to reduce our own carbon footprint and improve everyone's access to a digital world. It's something we're really serious about. In fact, we were even named as one of the world's most ethical companies by the Ethisphere Institute for the 10th year. When you join Capgemini, you'll join a team that does the right thing.Whilst you will have London, Manchester or Glasgow as an office base location, you must be fully flexible in terms of assignment location, as these roles may involve periods of time away from home at short notice.We offer a remuneration package which includes flexible benefits options for you to choose to suit your own personal circumstances and a variable element dependent grade and on company and personal performance.
Senior Data Science Consultant 60k - 70k + bonus and benefits (multiple positions available at different levels) London, Manchester or Glasgow / Hybrid Are you ready to work at the forefront of Agentic AI, GenAI and Data Science transformation? This is your opportunity to join a high-growth consulting environment where innovation, creativity and cutting-edge technology come together to solve complex business challenges for major clients. You'll play a key role in delivering impactful AI and analytics solutions, helping organisations unlock the value of their data and transform the way they operate. If you thrive in a client-facing consulting environment and want to work on pioneering AI initiatives with real-world impact, this could be the perfect next step in your career. What You'll Be Doing Leading and supporting the delivery of Agentic AI, GenAI, Data Science and Analytics projects across the full machine learning lifecycle Working closely with clients to understand business challenges and deliver innovative, data-driven solutions Demonstrating the value and potential of AI and advanced analytics through workshops, presentations and client engagements Applying modern data science techniques including statistical modelling, NLP, time-series analysis, spatial analysis and mathematical modelling Collaborating with multidisciplinary teams to deliver high-quality solutions in a fast-paced consulting environment Contributing to business growth through bids, proposals, RFPs, thought leadership and proposition development Supporting internal innovation initiatives, whitepapers, practice development and mentoring activities Continuously developing your skills across emerging AI, analytics and cloud technologies What You'll Bring Experience delivering Data Science, Analytics or Agentic/GenAI solutions within a client-facing or consulting environment Strong knowledge across the ML lifecycle and advanced analytical methodologies Passion for demonstrating how Agentic AI and GenAI can unlock business value Excellent stakeholder management, communication and presentation skills Experience helping clients derive actionable insights from complex data Background working within a consultancy and/or industry environment Technical Skills You'll have experience with some of the following: Cloud & Data Platforms: AWS, Azure, Google Cloud Platform, Databricks Programming Languages: Python, R, PySpark Agentic & GenAI Platforms: Microsoft Copilot Studio, OpenAI GPT-5 Agents, UiPath, Adept AI, Orby AI, Beam AI If you've held any of these roles or used these technologies/skills, this role could be a great fit: Data Scientist, Senior Data Scientist, AI Consultant, Machine Learning Consultant, GenAI Consultant, AI Engineer, Applied Data Scientist, Analytics Consultant, ML Engineer, Data & AI Consultant, Advanced Analytics Consultant, NLP Specialist, Python Developer, AI Transformation Consultant, Databricks Consultant, Azure AI Consultant, AWS Data Scientist, GCP Data Consultant, Agentic AI Consultant, OpenAI GPT Specialist, PySpark Developer. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate 1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.
15/05/2026
Full time
Senior Data Science Consultant 60k - 70k + bonus and benefits (multiple positions available at different levels) London, Manchester or Glasgow / Hybrid Are you ready to work at the forefront of Agentic AI, GenAI and Data Science transformation? This is your opportunity to join a high-growth consulting environment where innovation, creativity and cutting-edge technology come together to solve complex business challenges for major clients. You'll play a key role in delivering impactful AI and analytics solutions, helping organisations unlock the value of their data and transform the way they operate. If you thrive in a client-facing consulting environment and want to work on pioneering AI initiatives with real-world impact, this could be the perfect next step in your career. What You'll Be Doing Leading and supporting the delivery of Agentic AI, GenAI, Data Science and Analytics projects across the full machine learning lifecycle Working closely with clients to understand business challenges and deliver innovative, data-driven solutions Demonstrating the value and potential of AI and advanced analytics through workshops, presentations and client engagements Applying modern data science techniques including statistical modelling, NLP, time-series analysis, spatial analysis and mathematical modelling Collaborating with multidisciplinary teams to deliver high-quality solutions in a fast-paced consulting environment Contributing to business growth through bids, proposals, RFPs, thought leadership and proposition development Supporting internal innovation initiatives, whitepapers, practice development and mentoring activities Continuously developing your skills across emerging AI, analytics and cloud technologies What You'll Bring Experience delivering Data Science, Analytics or Agentic/GenAI solutions within a client-facing or consulting environment Strong knowledge across the ML lifecycle and advanced analytical methodologies Passion for demonstrating how Agentic AI and GenAI can unlock business value Excellent stakeholder management, communication and presentation skills Experience helping clients derive actionable insights from complex data Background working within a consultancy and/or industry environment Technical Skills You'll have experience with some of the following: Cloud & Data Platforms: AWS, Azure, Google Cloud Platform, Databricks Programming Languages: Python, R, PySpark Agentic & GenAI Platforms: Microsoft Copilot Studio, OpenAI GPT-5 Agents, UiPath, Adept AI, Orby AI, Beam AI If you've held any of these roles or used these technologies/skills, this role could be a great fit: Data Scientist, Senior Data Scientist, AI Consultant, Machine Learning Consultant, GenAI Consultant, AI Engineer, Applied Data Scientist, Analytics Consultant, ML Engineer, Data & AI Consultant, Advanced Analytics Consultant, NLP Specialist, Python Developer, AI Transformation Consultant, Databricks Consultant, Azure AI Consultant, AWS Data Scientist, GCP Data Consultant, Agentic AI Consultant, OpenAI GPT Specialist, PySpark Developer. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate 1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.
Process Automation & Digitalization Specialist Location: Manchester Rate: 30 (An hour) Duration: 12 Months Initially Location: Manchester IR35: Inside (Must use an umbrella company) Key Responsibilities Process Automation: Identify, design, and implement automation solutions (workflow automation, automated reporting, data validation, milestone monitoring, exception management, document processing, and notification workflows) to eliminate manual tasks in supply operations processes AI & Analytics: Support development based on AI/ML-based tools for decision support, data analysis, predictive capabilities, and operational insights within Supply Operations team Digitalization: Support the digital transformation roadmap by building prototypes, proof-of-concepts, dashboards, Power Apps, and scalable digital solutions Integration: Connect automation solutions with existing systems (SAP S/4HANA, planning tools, reporting platforms, SharePoint, Microsoft Power Platform, and visibility tools) Documentation & Knowledge Transfer: Create technical documentation, process guides, and user training materials to ensure sustainability beyond the contract period Stakeholder Collaboration: Work with Supply Operations team (Logistics & Order Management Europe (ELOM), Planning & Customs), operations leads, and IT to understand pain points and translate them into practical technical solutions Continuous Improvement: Proactively identify opportunities for simplification, standardization, and efficiency improvements across operational and reporting processes Required Skills & Experience: Degree in Computer Science, Engineering, Data Science, Supply Chain Analytics, or related technical discipline Proven experience in process automation (Python, Power Automate, Power Apps, UiPath, or similar technologies) Working knowledge of AI/ML tools and frameworks (e.g., machine learning libraries, NLP, generative AI applications, AI copilots, or automation agents) Experience with data manipulation and visualization (SQL, Power BI, Databricks, Excel automation, or equivalent) Familiarity with ERP systems (SAP S/4HANA preferred) Experience working with APIs, system integrations, and structured/unstructured data sources Ability to work independently, manage multiple workstreams, and deliver within tight timescales Strong communication skills with the ability to translate technical concepts into business-friendly language for non-technical stakeholders Desirable: Experience in supply chain, logistics, or manufacturing environments Familiarity with SAP S/4HANA, APO, OTM, or logistics visibility platforms Experience with API integrations and cloud platforms (Azure preferred) Exposure to Agile or iterative delivery methods Knowledge of Microsoft Power Platform ecosystem (Power BI, Power Apps, Power Automate) Experience supporting digital transformation or automation initiatives in operational environments
15/05/2026
Contractor
Process Automation & Digitalization Specialist Location: Manchester Rate: 30 (An hour) Duration: 12 Months Initially Location: Manchester IR35: Inside (Must use an umbrella company) Key Responsibilities Process Automation: Identify, design, and implement automation solutions (workflow automation, automated reporting, data validation, milestone monitoring, exception management, document processing, and notification workflows) to eliminate manual tasks in supply operations processes AI & Analytics: Support development based on AI/ML-based tools for decision support, data analysis, predictive capabilities, and operational insights within Supply Operations team Digitalization: Support the digital transformation roadmap by building prototypes, proof-of-concepts, dashboards, Power Apps, and scalable digital solutions Integration: Connect automation solutions with existing systems (SAP S/4HANA, planning tools, reporting platforms, SharePoint, Microsoft Power Platform, and visibility tools) Documentation & Knowledge Transfer: Create technical documentation, process guides, and user training materials to ensure sustainability beyond the contract period Stakeholder Collaboration: Work with Supply Operations team (Logistics & Order Management Europe (ELOM), Planning & Customs), operations leads, and IT to understand pain points and translate them into practical technical solutions Continuous Improvement: Proactively identify opportunities for simplification, standardization, and efficiency improvements across operational and reporting processes Required Skills & Experience: Degree in Computer Science, Engineering, Data Science, Supply Chain Analytics, or related technical discipline Proven experience in process automation (Python, Power Automate, Power Apps, UiPath, or similar technologies) Working knowledge of AI/ML tools and frameworks (e.g., machine learning libraries, NLP, generative AI applications, AI copilots, or automation agents) Experience with data manipulation and visualization (SQL, Power BI, Databricks, Excel automation, or equivalent) Familiarity with ERP systems (SAP S/4HANA preferred) Experience working with APIs, system integrations, and structured/unstructured data sources Ability to work independently, manage multiple workstreams, and deliver within tight timescales Strong communication skills with the ability to translate technical concepts into business-friendly language for non-technical stakeholders Desirable: Experience in supply chain, logistics, or manufacturing environments Familiarity with SAP S/4HANA, APO, OTM, or logistics visibility platforms Experience with API integrations and cloud platforms (Azure preferred) Exposure to Agile or iterative delivery methods Knowledge of Microsoft Power Platform ecosystem (Power BI, Power Apps, Power Automate) Experience supporting digital transformation or automation initiatives in operational environments
About Us Bauer Media Outdoor reaches millions of people across Europe through digital and out of home advertising. We operate thousands of digital screens and poster sites in high impact locations across multiple markets. We are modernising the platforms that power how data is used across our business, improving how teams access, understand, and act on insights. Our mission is simple. Create tech that makes a difference- empower teams, delight customers, shape the media world of tomorrow The Role We are looking for a Specialist Power BI Developer to strengthen our BI capability and improve the reliability, scalability, and usability of our reporting estate. This is a hands on role focused on delivering high quality Power BI solutions end to end, while also taking ownership of how the Power BI Service environment is managed and operated in production. You will work closely with stakeholders across the business to turn data into meaningful, trusted insights, ensuring the platform is stable, well governed, and built to scale. You will operate across a broad Power BI estate that supports decision making across multiple European markets, covering semantic models, reporting layers, and the Power BI Service environment. Working closely with data engineering teams using Azure and Databricks, you will consume curated datasets and help shape how they are used within reporting. This is not a data engineering role. The focus is on business facing analytics, Power BI delivery, and operational excellence, alongside introducing more modern, AI assisted analytics capabilities into the reporting ecosystem in a practical and controlled way. Role Focus Power BI Delivery & Modelling Build and maintain scalable semantic models and high quality reports Develop robust DAX and translate business needs into structured solutions Improve performance, usability, and consistency across reporting Platform Ownership & Operations Own the Power BI Service environment including workspaces, datasets, access, and deployments Ensure refresh reliability, governance, and lifecycle management Troubleshoot issues and improve stability across the reporting estate Stakeholder Engagement & Support Work directly with stakeholders to shape and prioritise reporting needs Provide day to day support across live BI solutions and resolve root causes Bring structure to requests, balancing delivery with operational demand Data Connectivity & Standards Support Data Gateway configuration and data connectivity Promote best practices across modelling, DAX, SQL, and report design Encourage reuse of trusted models and consistent development patterns What Success Looks Like Reduced dependency on individuals across Power BI delivery and support Improved reliability of reports, refreshes, and data connectivity Clear ownership and structure across the Power BI Service environment Strong relationships with stakeholders across multiple markets Faster turnaround of reporting requests without sacrificing quality More effective prioritisation and handling of BI support issues Increased capacity within the team to focus on strategic analytics What You'll Bring Core Experience Strong end to end Power BI delivery experience Hands on experience with Power BI Service in production Strong DAX and solid SQL capability Good understanding of semantic and dimensional modelling Experience working directly with stakeholders and supporting live BI environments Platform & Approach Experience managing workspaces, datasets, permissions, and deployments Experience with Data Gateway configuration and troubleshooting Comfortable balancing build work with operational support Able to bring structure, prioritisation, and ownership to a busy environment Nice to Have Exposure to Microsoft Fabric and Azure based data platforms Experience with version control and structured release processes Experience working with external partners Awareness of AI assisted analytics The Kind of Person Who Succeeds Here Strong Power BI practitioner with real end to end ownership Comfortable operating in both build and support environments Able to bring structure and clarity to a busy reporting landscape Confident engaging with stakeholders and challenging where needed Focused on building solutions that are reliable, usable, and scalable Interview Process Recruiter screen Technical and practical Power BI discussion Final stage interview focused on delivery approach and stakeholder engagement What's In It For You? Out-of-home Advertising is a well established medium undergoing a digital revolution, and one we believe we are uniquely positioned to capture. You will be at the forefront of this journey, working with your peers to lead the way. As part of this you will get to grow and learn by working with the latest tech, joining with innovate partners, and working with great colleagues on a day-to-day basis. The package will also include: Hybrid working model with regular office presence to build team culture and relationships. 25 paid holidays Company Pension Scheme paid up to 8% Healthcare Cash Plan Life Insurance and group income protection scheme Cycle to work scheme Enhanced Maternity & Paternity Cover
15/05/2026
Full time
About Us Bauer Media Outdoor reaches millions of people across Europe through digital and out of home advertising. We operate thousands of digital screens and poster sites in high impact locations across multiple markets. We are modernising the platforms that power how data is used across our business, improving how teams access, understand, and act on insights. Our mission is simple. Create tech that makes a difference- empower teams, delight customers, shape the media world of tomorrow The Role We are looking for a Specialist Power BI Developer to strengthen our BI capability and improve the reliability, scalability, and usability of our reporting estate. This is a hands on role focused on delivering high quality Power BI solutions end to end, while also taking ownership of how the Power BI Service environment is managed and operated in production. You will work closely with stakeholders across the business to turn data into meaningful, trusted insights, ensuring the platform is stable, well governed, and built to scale. You will operate across a broad Power BI estate that supports decision making across multiple European markets, covering semantic models, reporting layers, and the Power BI Service environment. Working closely with data engineering teams using Azure and Databricks, you will consume curated datasets and help shape how they are used within reporting. This is not a data engineering role. The focus is on business facing analytics, Power BI delivery, and operational excellence, alongside introducing more modern, AI assisted analytics capabilities into the reporting ecosystem in a practical and controlled way. Role Focus Power BI Delivery & Modelling Build and maintain scalable semantic models and high quality reports Develop robust DAX and translate business needs into structured solutions Improve performance, usability, and consistency across reporting Platform Ownership & Operations Own the Power BI Service environment including workspaces, datasets, access, and deployments Ensure refresh reliability, governance, and lifecycle management Troubleshoot issues and improve stability across the reporting estate Stakeholder Engagement & Support Work directly with stakeholders to shape and prioritise reporting needs Provide day to day support across live BI solutions and resolve root causes Bring structure to requests, balancing delivery with operational demand Data Connectivity & Standards Support Data Gateway configuration and data connectivity Promote best practices across modelling, DAX, SQL, and report design Encourage reuse of trusted models and consistent development patterns What Success Looks Like Reduced dependency on individuals across Power BI delivery and support Improved reliability of reports, refreshes, and data connectivity Clear ownership and structure across the Power BI Service environment Strong relationships with stakeholders across multiple markets Faster turnaround of reporting requests without sacrificing quality More effective prioritisation and handling of BI support issues Increased capacity within the team to focus on strategic analytics What You'll Bring Core Experience Strong end to end Power BI delivery experience Hands on experience with Power BI Service in production Strong DAX and solid SQL capability Good understanding of semantic and dimensional modelling Experience working directly with stakeholders and supporting live BI environments Platform & Approach Experience managing workspaces, datasets, permissions, and deployments Experience with Data Gateway configuration and troubleshooting Comfortable balancing build work with operational support Able to bring structure, prioritisation, and ownership to a busy environment Nice to Have Exposure to Microsoft Fabric and Azure based data platforms Experience with version control and structured release processes Experience working with external partners Awareness of AI assisted analytics The Kind of Person Who Succeeds Here Strong Power BI practitioner with real end to end ownership Comfortable operating in both build and support environments Able to bring structure and clarity to a busy reporting landscape Confident engaging with stakeholders and challenging where needed Focused on building solutions that are reliable, usable, and scalable Interview Process Recruiter screen Technical and practical Power BI discussion Final stage interview focused on delivery approach and stakeholder engagement What's In It For You? Out-of-home Advertising is a well established medium undergoing a digital revolution, and one we believe we are uniquely positioned to capture. You will be at the forefront of this journey, working with your peers to lead the way. As part of this you will get to grow and learn by working with the latest tech, joining with innovate partners, and working with great colleagues on a day-to-day basis. The package will also include: Hybrid working model with regular office presence to build team culture and relationships. 25 paid holidays Company Pension Scheme paid up to 8% Healthcare Cash Plan Life Insurance and group income protection scheme Cycle to work scheme Enhanced Maternity & Paternity Cover
At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies 1-3 years' experience in data operations, data management, analytics, or automation, enabling effective handling and transformation of large datasets. Strong SQL proficiency (e.g., PostgreSQL, MySQL, SQL Server) to extract, transform, and optimize data for reporting and operational use. Hands on Python experience (Pandas, NumPy) for data manipulation and analysis, supporting scalable data workflows. Understanding of data architecture, data modeling, and ETL processes to ensure efficient data integration and pipeline development. Experience implementing data quality frameworks to ensure accuracy, consistency, and completeness of datasets. Strong communication and problem solving skills to collaborate across global teams and translate complex data insights into actionable outputs. Familiarity with data platforms such as Databricks, Spark, Snowflake, or similar technologies. Ability to communicate technical concepts clearly to non technical stakeholders. Education Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field. Responsibilities Support and enhance data quality and operations across multiple sources, ensuring reliable, scalable, and efficient data delivery. Develop and execute processes to monitor, manage, and improve data quality across datasets. Design and implement data deduplication frameworks to improve data accuracy and usability. Analyze and optimize data operations workflows, identifying automation opportunities to increase efficiency. Collaborate with cross functional teams (Sales, Product, Technology) to align data solutions with business needs. Support stakeholders by delivering data insights and responding to data related queries. Contribute to the development and enhancement of enterprise data platforms, ensuring integrity and scalability. Maintain best practices in data governance, data modeling, and pipeline optimization. About the Team Our Data Estate team is responsible for delivering high quality, mission critical data that powers decision making across global markets. We provide comprehensive company data through flagship platforms such as Orbis, we enable clients to access, analyze, and act on complex datasets efficiently, and we drive continuous improvements in data quality, accessibility, and operational excellence. By joining our team, you will contribute to innovative data solutions supporting global customers across industries. Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
15/05/2026
Full time
At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies 1-3 years' experience in data operations, data management, analytics, or automation, enabling effective handling and transformation of large datasets. Strong SQL proficiency (e.g., PostgreSQL, MySQL, SQL Server) to extract, transform, and optimize data for reporting and operational use. Hands on Python experience (Pandas, NumPy) for data manipulation and analysis, supporting scalable data workflows. Understanding of data architecture, data modeling, and ETL processes to ensure efficient data integration and pipeline development. Experience implementing data quality frameworks to ensure accuracy, consistency, and completeness of datasets. Strong communication and problem solving skills to collaborate across global teams and translate complex data insights into actionable outputs. Familiarity with data platforms such as Databricks, Spark, Snowflake, or similar technologies. Ability to communicate technical concepts clearly to non technical stakeholders. Education Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field. Responsibilities Support and enhance data quality and operations across multiple sources, ensuring reliable, scalable, and efficient data delivery. Develop and execute processes to monitor, manage, and improve data quality across datasets. Design and implement data deduplication frameworks to improve data accuracy and usability. Analyze and optimize data operations workflows, identifying automation opportunities to increase efficiency. Collaborate with cross functional teams (Sales, Product, Technology) to align data solutions with business needs. Support stakeholders by delivering data insights and responding to data related queries. Contribute to the development and enhancement of enterprise data platforms, ensuring integrity and scalability. Maintain best practices in data governance, data modeling, and pipeline optimization. About the Team Our Data Estate team is responsible for delivering high quality, mission critical data that powers decision making across global markets. We provide comprehensive company data through flagship platforms such as Orbis, we enable clients to access, analyze, and act on complex datasets efficiently, and we drive continuous improvements in data quality, accessibility, and operational excellence. By joining our team, you will contribute to innovative data solutions supporting global customers across industries. Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
Description Principal AI + Data Architect, Agentforce and AI Ecosystem We're Salesforce, the Customer Company, inspiring the future of business with AI + Data + CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. Agentforce is Salesforce's newest innovation-a next-generation platform that combines Data + AI + CRM + Trust to transform customer experiences. Our AI and Data Architect team is a startup within a global organization, dedicated to helping Salesforce customers and prospects design and implement cutting edge solutions that deliver real business value. Role Description As an AI and Data Technical Architect, you will act as a senior, hands on technical leader and trusted advisor to our customers. You will be responsible for designing, validating, and operationalizing enterprise grade data and AI architectures centered on Salesforce D360 and the Agentforce platform. This role sits at the intersection of data engineering, platform architecture, and applied AI, requiring you to guide customer Chief Data Officers, CxOs and Enterprise Architects through emerging AI solutions. You will work side by side with Account Executives and Product teams to ensure customers realize the full value of the platform by designing scalable, secure solutions that integrate D360 into complex enterprise ecosystems-including hyperscalers, data lakes, and governance frameworks. You will: Lead pre sales technical design by analyzing customer needs and recommending solutions aligned with Agentforce capabilities and integration with external agent frameworks. Shape best practices around generative AI, agent interoperability, prompt engineering, Data 360, and cross platform integrations. Collaborate with AEs and SEs to build hands on prototypes and demos using Agentforce and integrated external agents. Develop thought leadership content-demo templates, whitepapers, enablement sessions-focused on agent lifecycle, integration strategy, technical effectiveness and latest innovation trends. Act as a central technical knowledge resource, proactively addressing internal technical inquiries, facilitating deep technical enablement, and documenting best practices to empower specialist teams across the organization. If you are naturally curious about AI and Data, love diving into new technologies, and enjoy educating others while crafting solutions that deliver real business impact, we want to talk to you! Responsibilities Understand Agent Interoperability - Map and integrate external agents from hyperscalers (e.g. Copilot, Gemini) into Agentforce via open standards (MCP, A2A); design how these systems collaborate. Enable Conversational & Background Agents - Use Agentforce Studio and Agent Builder to configure chat and background agents; integrate with external channels including voice via hyperscaler APIs. Drive Prompt Engineering & Lifecycle Strategy - Lead prompt design, testing, monitoring, and iteration; define agent lifecycle best practices from development through refinement. Build Hands On Demos & Prototypes - Co-create quick prototypes ( Lead Pre Sales Workshops - Facilitate whiteboarding, deep dive sessions, and quick enablement for customers and internal teams. Advise on Data & Integration - Integrate Data Cloud (D360), CRM, MuleSoft APIs, and external agent endpoints ensuring cohesive architectures that align with compliance and governance policies. Support Early Adoption - Occasionally assist in proof of value engagements post sale by tuning agents and guiding customers toward self sufficient enablement. Own Technical Architecture Decisions - Oversee data modeling, identity resolution, real time vs. batch patterns, data graph design, and activation strategies within D360. Own Technical Enablement - Create and manage accessible technical documentation, knowledge bases, and FAQ resources to rapidly resolve internal technical inquiries, empowering specialist teams to handle technical discussions confidently. Requirements Technical Pre Sales/Consulting - 7+ years of hands on experience designing and delivering data, analytics, and AI architectures in enterprise environments. Salesforce Expertise - Hands on experience with Salesforce Agentforce and deep fluency with D360 and core Salesforce platform services. External Ecosystem Knowledge - Strong understanding of external agent ecosystems and interoperability. Proven Track Record - Experience in prompt engineering, agent lifecycle management, and hands on prototype development. AI & ML Expertise - Experience with machine learning concepts (predictive and generative AI), plus the ability to communicate value to diverse audiences. Data Stack Knowledge - Deep expertise in modern cloud data platforms (Snowflake, Databricks, BigQuery, Redshift) and data ingestion patterns (batch, streaming, CDC). Hands On Development - Proficiency in programming (e.g., JavaScript, Python, SQL, R) and data frameworks like pandas or Jupyter. Excellent Communication - Strong presentation skills; adept at explaining complex ideas and guiding stakeholders toward impactful solutions. Curiosity & Continuous Learning - Passion for exploring new AI frameworks, sharing insights, and experimenting with cutting edge technologies. Preferred Requirements Advanced Integration - Experience integrating Salesforce with external agents via APIs and open standards (MCP, A2A). Governance & Observability - Familiarity with prompt governance, observability, monitoring frameworks, responsible AI and compliance best practices Cross Platform Background - Background in cross platform integrations (e.g., Hyperscaler SDKs to Salesforce Flows). Multimodal Pipelines - Prior exposure to conversational voice pipelines or multimodal integrations via hyperscaler services. Advanced AI/ML Frameworks - Exposure to frameworks (TensorFlow, PyTorch), MLOps practices, and cloud AI platforms like Google Vertex AI or AWS Sagemaker. Education - BS in Computer Science, Engineering, Data Science, or equivalent technical field.
15/05/2026
Full time
Description Principal AI + Data Architect, Agentforce and AI Ecosystem We're Salesforce, the Customer Company, inspiring the future of business with AI + Data + CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. Agentforce is Salesforce's newest innovation-a next-generation platform that combines Data + AI + CRM + Trust to transform customer experiences. Our AI and Data Architect team is a startup within a global organization, dedicated to helping Salesforce customers and prospects design and implement cutting edge solutions that deliver real business value. Role Description As an AI and Data Technical Architect, you will act as a senior, hands on technical leader and trusted advisor to our customers. You will be responsible for designing, validating, and operationalizing enterprise grade data and AI architectures centered on Salesforce D360 and the Agentforce platform. This role sits at the intersection of data engineering, platform architecture, and applied AI, requiring you to guide customer Chief Data Officers, CxOs and Enterprise Architects through emerging AI solutions. You will work side by side with Account Executives and Product teams to ensure customers realize the full value of the platform by designing scalable, secure solutions that integrate D360 into complex enterprise ecosystems-including hyperscalers, data lakes, and governance frameworks. You will: Lead pre sales technical design by analyzing customer needs and recommending solutions aligned with Agentforce capabilities and integration with external agent frameworks. Shape best practices around generative AI, agent interoperability, prompt engineering, Data 360, and cross platform integrations. Collaborate with AEs and SEs to build hands on prototypes and demos using Agentforce and integrated external agents. Develop thought leadership content-demo templates, whitepapers, enablement sessions-focused on agent lifecycle, integration strategy, technical effectiveness and latest innovation trends. Act as a central technical knowledge resource, proactively addressing internal technical inquiries, facilitating deep technical enablement, and documenting best practices to empower specialist teams across the organization. If you are naturally curious about AI and Data, love diving into new technologies, and enjoy educating others while crafting solutions that deliver real business impact, we want to talk to you! Responsibilities Understand Agent Interoperability - Map and integrate external agents from hyperscalers (e.g. Copilot, Gemini) into Agentforce via open standards (MCP, A2A); design how these systems collaborate. Enable Conversational & Background Agents - Use Agentforce Studio and Agent Builder to configure chat and background agents; integrate with external channels including voice via hyperscaler APIs. Drive Prompt Engineering & Lifecycle Strategy - Lead prompt design, testing, monitoring, and iteration; define agent lifecycle best practices from development through refinement. Build Hands On Demos & Prototypes - Co-create quick prototypes ( Lead Pre Sales Workshops - Facilitate whiteboarding, deep dive sessions, and quick enablement for customers and internal teams. Advise on Data & Integration - Integrate Data Cloud (D360), CRM, MuleSoft APIs, and external agent endpoints ensuring cohesive architectures that align with compliance and governance policies. Support Early Adoption - Occasionally assist in proof of value engagements post sale by tuning agents and guiding customers toward self sufficient enablement. Own Technical Architecture Decisions - Oversee data modeling, identity resolution, real time vs. batch patterns, data graph design, and activation strategies within D360. Own Technical Enablement - Create and manage accessible technical documentation, knowledge bases, and FAQ resources to rapidly resolve internal technical inquiries, empowering specialist teams to handle technical discussions confidently. Requirements Technical Pre Sales/Consulting - 7+ years of hands on experience designing and delivering data, analytics, and AI architectures in enterprise environments. Salesforce Expertise - Hands on experience with Salesforce Agentforce and deep fluency with D360 and core Salesforce platform services. External Ecosystem Knowledge - Strong understanding of external agent ecosystems and interoperability. Proven Track Record - Experience in prompt engineering, agent lifecycle management, and hands on prototype development. AI & ML Expertise - Experience with machine learning concepts (predictive and generative AI), plus the ability to communicate value to diverse audiences. Data Stack Knowledge - Deep expertise in modern cloud data platforms (Snowflake, Databricks, BigQuery, Redshift) and data ingestion patterns (batch, streaming, CDC). Hands On Development - Proficiency in programming (e.g., JavaScript, Python, SQL, R) and data frameworks like pandas or Jupyter. Excellent Communication - Strong presentation skills; adept at explaining complex ideas and guiding stakeholders toward impactful solutions. Curiosity & Continuous Learning - Passion for exploring new AI frameworks, sharing insights, and experimenting with cutting edge technologies. Preferred Requirements Advanced Integration - Experience integrating Salesforce with external agents via APIs and open standards (MCP, A2A). Governance & Observability - Familiarity with prompt governance, observability, monitoring frameworks, responsible AI and compliance best practices Cross Platform Background - Background in cross platform integrations (e.g., Hyperscaler SDKs to Salesforce Flows). Multimodal Pipelines - Prior exposure to conversational voice pipelines or multimodal integrations via hyperscaler services. Advanced AI/ML Frameworks - Exposure to frameworks (TensorFlow, PyTorch), MLOps practices, and cloud AI platforms like Google Vertex AI or AWS Sagemaker. Education - BS in Computer Science, Engineering, Data Science, or equivalent technical field.
Description Role Description As an AI and Data Technical Architect, you will act as a senior, hands on technical leader and trusted advisor to our customers. You will be responsible for designing, validating, and operationalizing enterprise grade data and AI architectures centered on Salesforce D360 and the Agentforce platform. This role sits at the intersection of data engineering, platform architecture, and applied AI, requiring you to guide customer Chief Data Officers and Enterprise Architects through emerging AI solutions. You will work side by side with Account Executives and Product teams to ensure customers realize the full value of the platform by designing scalable, secure solutions that integrate D360 into complex enterprise ecosystems-including hyperscalers, data lakes, and governance frameworks. You will: Lead pre sales technical design by analyzing customer needs and recommending solutions aligned with Agentforce capabilities and integration with external agent frameworks. Shape best practices around generative AI, agent interoperability, prompt engineering, Data Cloud, and cross platform integrations. Collaborate with AEs and SEs to build hands on prototypes and demos using Agentforce and integrated external agents. Develop thought leadership content-demo templates, whitepapers, enablement sessions-focused on agent lifecycle, integration strategy, and technical effectiveness. Act as a central technical knowledge resource, proactively addressing internal technical inquiries, facilitating deep technical enablement, and documenting best practices to empower specialist teams across the organization. If you are naturally curious about AI and Data, love diving into new technologies, and enjoy educating others while crafting solutions that deliver real business impact, we want to talk to you! Responsibilities Understand Agent Interoperability - Map and integrate external agents from hyperscalers (e.g. Copilot, Gemini) into Agentforce via open standards (MCP, A2A); design how these systems collaborate. Enable Conversational & Background Agents - Use Agentforce Studio and Agent Builder to configure chat and background agents; integrate with external channels including voice via hyperscaler APIs. Drive Prompt Engineering & Lifecycle Strategy - Lead prompt design, testing, monitoring, and iteration; define agent lifecycle best practices from development through refinement. Build Hands On Demos & Prototypes - Co create quick prototypes ( Lead Pre Sales Workshops - Facilitate whiteboarding, deep dive sessions, and quick enablement for customers and internal teams. Advise on Data & Integration - Integrate Data Cloud (D360), CRM, MuleSoft APIs, and external agent endpoints ensuring cohesive architectures that align with compliance and governance policies. Support Early Adoption - Occasionally assist in proof of value engagements post sale by tuning agents and guiding customers toward self sufficient enablement. Own Technical Architecture Decisions - Oversee data modeling, identity resolution, real time vs. batch patterns, data graph design, and activation strategies within D360. Own Technical Enablement - Create and manage accessible technical documentation, knowledge bases, and FAQ resources to rapidly resolve internal technical inquiries, empowering specialist teams to handle technical discussions confidently. Requirements Technical Pre Sales/Consulting - 7+ years of hands on experience designing and delivering data, analytics, and AI architectures in enterprise environments. Salesforce Expertise - Hands on experience with Salesforce Agentforce and deep fluency with D360 and core Salesforce platform services. External Ecosystem Knowledge - Strong understanding of external agent ecosystems and interoperability. Proven Track Record - Experience in prompt engineering, agent lifecycle management, and hands on prototype development. AI & ML Expertise - Experience with machine learning concepts (predictive and generative AI), plus the ability to communicate value to diverse audiences. Data Stack Knowledge - Deep expertise in modern cloud data platforms (Snowflake, Databricks, BigQuery, Redshift) and data ingestion patterns (batch, streaming, CDC). Hands On Development - Proficiency in programming (e.g., JavaScript, Python, SQL, R) and data frameworks like pandas or Jupyter. Excellent Communication - Strong presentation skills; adept at explaining complex ideas and guiding stakeholders toward impactful solutions. Curiosity & Continuous Learning - Passion for exploring new AI frameworks, sharing insights, and experimenting with cutting edge technologies. Preferred Requirements Advanced Integration - Experience integrating Salesforce with external agents via APIs and open standards (MCP, A2A). Governance & Observability - Familiarity with prompt governance, observability, and monitoring frameworks. Cross Platform Background - Background in cross platform integrations (e.g., Hyperscaler SDKs to Salesforce Flows). Multimodal Pipelines - Prior exposure to conversational voice pipelines or multimodal integrations via hyperscaler services. Advanced AI/ML Frameworks - Exposure to frameworks (TensorFlow, PyTorch), MLOps practices, and cloud AI platforms like Google Vertex AI or AWS Sagemaker. Education - BS in Computer Science, Engineering, Data Science, or equivalent technical field
14/05/2026
Full time
Description Role Description As an AI and Data Technical Architect, you will act as a senior, hands on technical leader and trusted advisor to our customers. You will be responsible for designing, validating, and operationalizing enterprise grade data and AI architectures centered on Salesforce D360 and the Agentforce platform. This role sits at the intersection of data engineering, platform architecture, and applied AI, requiring you to guide customer Chief Data Officers and Enterprise Architects through emerging AI solutions. You will work side by side with Account Executives and Product teams to ensure customers realize the full value of the platform by designing scalable, secure solutions that integrate D360 into complex enterprise ecosystems-including hyperscalers, data lakes, and governance frameworks. You will: Lead pre sales technical design by analyzing customer needs and recommending solutions aligned with Agentforce capabilities and integration with external agent frameworks. Shape best practices around generative AI, agent interoperability, prompt engineering, Data Cloud, and cross platform integrations. Collaborate with AEs and SEs to build hands on prototypes and demos using Agentforce and integrated external agents. Develop thought leadership content-demo templates, whitepapers, enablement sessions-focused on agent lifecycle, integration strategy, and technical effectiveness. Act as a central technical knowledge resource, proactively addressing internal technical inquiries, facilitating deep technical enablement, and documenting best practices to empower specialist teams across the organization. If you are naturally curious about AI and Data, love diving into new technologies, and enjoy educating others while crafting solutions that deliver real business impact, we want to talk to you! Responsibilities Understand Agent Interoperability - Map and integrate external agents from hyperscalers (e.g. Copilot, Gemini) into Agentforce via open standards (MCP, A2A); design how these systems collaborate. Enable Conversational & Background Agents - Use Agentforce Studio and Agent Builder to configure chat and background agents; integrate with external channels including voice via hyperscaler APIs. Drive Prompt Engineering & Lifecycle Strategy - Lead prompt design, testing, monitoring, and iteration; define agent lifecycle best practices from development through refinement. Build Hands On Demos & Prototypes - Co create quick prototypes ( Lead Pre Sales Workshops - Facilitate whiteboarding, deep dive sessions, and quick enablement for customers and internal teams. Advise on Data & Integration - Integrate Data Cloud (D360), CRM, MuleSoft APIs, and external agent endpoints ensuring cohesive architectures that align with compliance and governance policies. Support Early Adoption - Occasionally assist in proof of value engagements post sale by tuning agents and guiding customers toward self sufficient enablement. Own Technical Architecture Decisions - Oversee data modeling, identity resolution, real time vs. batch patterns, data graph design, and activation strategies within D360. Own Technical Enablement - Create and manage accessible technical documentation, knowledge bases, and FAQ resources to rapidly resolve internal technical inquiries, empowering specialist teams to handle technical discussions confidently. Requirements Technical Pre Sales/Consulting - 7+ years of hands on experience designing and delivering data, analytics, and AI architectures in enterprise environments. Salesforce Expertise - Hands on experience with Salesforce Agentforce and deep fluency with D360 and core Salesforce platform services. External Ecosystem Knowledge - Strong understanding of external agent ecosystems and interoperability. Proven Track Record - Experience in prompt engineering, agent lifecycle management, and hands on prototype development. AI & ML Expertise - Experience with machine learning concepts (predictive and generative AI), plus the ability to communicate value to diverse audiences. Data Stack Knowledge - Deep expertise in modern cloud data platforms (Snowflake, Databricks, BigQuery, Redshift) and data ingestion patterns (batch, streaming, CDC). Hands On Development - Proficiency in programming (e.g., JavaScript, Python, SQL, R) and data frameworks like pandas or Jupyter. Excellent Communication - Strong presentation skills; adept at explaining complex ideas and guiding stakeholders toward impactful solutions. Curiosity & Continuous Learning - Passion for exploring new AI frameworks, sharing insights, and experimenting with cutting edge technologies. Preferred Requirements Advanced Integration - Experience integrating Salesforce with external agents via APIs and open standards (MCP, A2A). Governance & Observability - Familiarity with prompt governance, observability, and monitoring frameworks. Cross Platform Background - Background in cross platform integrations (e.g., Hyperscaler SDKs to Salesforce Flows). Multimodal Pipelines - Prior exposure to conversational voice pipelines or multimodal integrations via hyperscaler services. Advanced AI/ML Frameworks - Exposure to frameworks (TensorFlow, PyTorch), MLOps practices, and cloud AI platforms like Google Vertex AI or AWS Sagemaker. Education - BS in Computer Science, Engineering, Data Science, or equivalent technical field
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 active SC 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.
12/05/2026
Contractor
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 active SC 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 Solutions Architect (Utilities/Energy) London, United Kingdom REQ ID: FEQ227R246 Location: London, UK Recruiter: Dina Hussain At Databricks, our core values are at the heart of everything we do; a culture of proactiveness and a customer centric mindset guides us to build a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer focused team that values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. You will engage with our largest and most complex customers across the region to advise them on adopting the Databricks Data Intelligence Platform, in collaboration with a world class, cross functional team of Solutions Architects, Account Executives, and technology Specialists. You will work closely with a small group of customers and their account teams to help them respond to key business opportunities and challenges. Join us in our quest to change how people work with data and make a better world! The impact you will have Engage with some of Databricks' most complex customers to help them achieve their unified platform goals. Develop and execute customer engagement strategies in partnership with the Account Executives and Solutions Architects in your designated accounts. Coach core account teams and peers on positioning, adoption strategies and execution to achieve your outcomes in a defined timeline. Influence stakeholders at all levels through complex engagements with the wider cloud ecosystem and 3rd party applications, ensuring they are excited about the Databricks vision and solution strategy. Be a 'champion' for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Lakehouse platform. Contribute to Databricks' technical community engagement by developing customer facing collateral and leading workshops, seminars, and meet ups. Opportunity to continue your development in one of four tracks - technical specialisation, industry vertical thought leadership, strategic customer vision, and people management. What we look for Know how to engage in complex customer interactions and sales lifecycle in a technical pre sales capacity. Have a technical background in Data Engineering or Data Warehousing (DWH) or a Machine Learning/AI background. Work with our Utilities customers, focusing on establishing the Databricks Data Intelligence Platform as their platform of choice. Have a builder mindset, instinctively prototype, create demos, and craft tailored solutions rather than relying only on slide decks. Enjoy a high degree of autonomy and thrive in working with ambiguous requirements and challenging customer environments. Ability to influence decision makers and C level executives through developing relationships and orchestrating teams to achieve long term success for customers. Prior experience with coding in a core programming language (Python or SQL) and willingness to learn a base level of Spark. Hands on expertise with complex proofs of concept and public cloud platform(s) across AWS, Azure and Google. Know how to provide technical solutions for specialised customer needs and navigate a competitive landscape. Nice to have: Databricks Certification. Up to % travel to London offices and customer sites. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
12/05/2026
Full time
Senior Solutions Architect (Utilities/Energy) London, United Kingdom REQ ID: FEQ227R246 Location: London, UK Recruiter: Dina Hussain At Databricks, our core values are at the heart of everything we do; a culture of proactiveness and a customer centric mindset guides us to build a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer focused team that values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. You will engage with our largest and most complex customers across the region to advise them on adopting the Databricks Data Intelligence Platform, in collaboration with a world class, cross functional team of Solutions Architects, Account Executives, and technology Specialists. You will work closely with a small group of customers and their account teams to help them respond to key business opportunities and challenges. Join us in our quest to change how people work with data and make a better world! The impact you will have Engage with some of Databricks' most complex customers to help them achieve their unified platform goals. Develop and execute customer engagement strategies in partnership with the Account Executives and Solutions Architects in your designated accounts. Coach core account teams and peers on positioning, adoption strategies and execution to achieve your outcomes in a defined timeline. Influence stakeholders at all levels through complex engagements with the wider cloud ecosystem and 3rd party applications, ensuring they are excited about the Databricks vision and solution strategy. Be a 'champion' for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Lakehouse platform. Contribute to Databricks' technical community engagement by developing customer facing collateral and leading workshops, seminars, and meet ups. Opportunity to continue your development in one of four tracks - technical specialisation, industry vertical thought leadership, strategic customer vision, and people management. What we look for Know how to engage in complex customer interactions and sales lifecycle in a technical pre sales capacity. Have a technical background in Data Engineering or Data Warehousing (DWH) or a Machine Learning/AI background. Work with our Utilities customers, focusing on establishing the Databricks Data Intelligence Platform as their platform of choice. Have a builder mindset, instinctively prototype, create demos, and craft tailored solutions rather than relying only on slide decks. Enjoy a high degree of autonomy and thrive in working with ambiguous requirements and challenging customer environments. Ability to influence decision makers and C level executives through developing relationships and orchestrating teams to achieve long term success for customers. Prior experience with coding in a core programming language (Python or SQL) and willingness to learn a base level of Spark. Hands on expertise with complex proofs of concept and public cloud platform(s) across AWS, Azure and Google. Know how to provide technical solutions for specialised customer needs and navigate a competitive landscape. Nice to have: Databricks Certification. Up to % travel to London offices and customer sites. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
