A leading RegTech firm in the United Kingdom is seeking an experienced Technical Support Engineer for its Workplace IT Support Team. You will provide 1st/2nd line technical support for M365 and workplace systems, ensuring SLA compliance and troubleshooting hardware and software issues. The ideal candidate will have proven M365 administration experience, strong troubleshooting skills, and the ability to improve processes. Join a high-performing team and make a significant impact in transforming regulatory compliance.
03/02/2026
Full time
A leading RegTech firm in the United Kingdom is seeking an experienced Technical Support Engineer for its Workplace IT Support Team. You will provide 1st/2nd line technical support for M365 and workplace systems, ensuring SLA compliance and troubleshooting hardware and software issues. The ideal candidate will have proven M365 administration experience, strong troubleshooting skills, and the ability to improve processes. Join a high-performing team and make a significant impact in transforming regulatory compliance.
CUBE are a global RegTech business defining and implementing the gold standard of regulatory intelligence for the financial services industry. We deliver our services through intuitive SaaS solutions, powered by AI, to simplify the complex and everchanging world of compliance for our clients. Why us? CUBE is a globally recognized brand at the forefront of Regulatory Technology. Our industry leading SaaS solutions are trusted by the world's top financial institutions globally. In 2024, we achieved over 50% growth, both organically and through two strategic acquisitions. We're a fast paced, high performing team that thrives on pushing boundaries-continuously evolving our products, services, and operations. At CUBE, we don't just keep up we stay ahead. We believe our future is built by bold, ambitious individuals who are driven to make a real difference. Our "make it happen" culture empowers you to take ownership of your career and accelerate your personal and professional development from day one. With over 700 CUBERs across 19 countries spanning EMEA, the Americas, and APAC, we operate as one team with a shared mission to transform regulatory compliance. Diversity, collaboration, and purpose are the heartbeat of our success. We were among the first to harness the power of AI in regulatory intelligence, and we continue to lead with our cutting edge technology. At CUBE, you will work alongside some of the brightest minds in AI research and engineering in developing impactful solutions that are reshaping the world of regulatory compliance. Role Mission We're seeking an experienced Technical Support Engineer to join our Workplace IT Support Team. Reporting to the Workplace Services Support Manager, you'll deliver comprehensive M365, end user compute, and workplace systems support to our global staff. This role combines hands on technical support with some project delivery, managing the complete staff life cycle, and acting as a key technical resource supporting Security Operations, Business Systems, and IT Procurement functions. This is an excellent opportunity for a self motivated support professional to make a real impact in a fast growing RegTech business serving global financial institutions. Key Responsibilities Technical Support & Service Delivery Provide 1st/2nd line technical support for M365, end user compute, and workplace systems to staff Log, prioritize, and resolve incidents via Service Desk ensuring SLA compliance, escalating complex issues as needed Participate in high priority incident (P1/P2) response, maintaining detailed documentation for RCA Troubleshoot hardware, software, application, and connectivity issues using systematic diagnostic approaches, coordinating support cases with Microsoft, Dell, and other suppliers Complete daily, weekly and monthly checks and reports Identify opportunities for process improvements and automation Execute complete staff lifecycle management including onboarding/offboarding (account creation/revocation, license allocation, equipment provisioning), access requests, and regular access audits Administer M365 tenant (Entra ID, Exchange Online, Teams, SharePoint, Intune, Defender, Purview) including user/group management, Active Directory policies, routine maintenance, and hybrid identity infrastructure Assist Security Operations with incident investigation, roll out of security controls, and compliance activities (ISO27001, SOC2) Provide technical and project support for Jira, Confluence, Miro and other business applications Obtain quotes, coordinate equipment orders, manage asset register, supplier relationships, and maintenance renewals Create and maintain technical documentation, procedures, knowledge base articles and training materials Participate in workplace technology projects including UAT, pilot programs, and training delivery Experience & Knowledge Minimum 2-3 years experience in technical support, service desk, or IT operations roles Proven M365 administration experience (Entra ID, Exchange Online, Teams, SharePoint, Intune) Hands on Windows 10/11 and macOS desktop/laptop support and troubleshooting Atlassian suite (Confluence, Jira) administration and support experience Excellent customer service and communication skills (verbal and written) Strong troubleshooting skills across hardware, software, network, and application issues Exposure to information security principles and compliance frameworks (ISO27001, SOC2) Desirable Requirements Microsoft certifications (MS-900, MS-102, MD-102, SC-900 or similar) PowerShell, Python, or other scripting languages for automation Experience supporting application development, infrastructure, or data management teams Knowledge of SSO, authentication, and identity management concepts Interested? If you are passionate about leveraging technology to transform regulatory compliance and meet the qualifications outlined above, we invite you to apply. Please submit your resume detailing your relevant experience and interest in CUBE. CUBE is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
03/02/2026
Full time
CUBE are a global RegTech business defining and implementing the gold standard of regulatory intelligence for the financial services industry. We deliver our services through intuitive SaaS solutions, powered by AI, to simplify the complex and everchanging world of compliance for our clients. Why us? CUBE is a globally recognized brand at the forefront of Regulatory Technology. Our industry leading SaaS solutions are trusted by the world's top financial institutions globally. In 2024, we achieved over 50% growth, both organically and through two strategic acquisitions. We're a fast paced, high performing team that thrives on pushing boundaries-continuously evolving our products, services, and operations. At CUBE, we don't just keep up we stay ahead. We believe our future is built by bold, ambitious individuals who are driven to make a real difference. Our "make it happen" culture empowers you to take ownership of your career and accelerate your personal and professional development from day one. With over 700 CUBERs across 19 countries spanning EMEA, the Americas, and APAC, we operate as one team with a shared mission to transform regulatory compliance. Diversity, collaboration, and purpose are the heartbeat of our success. We were among the first to harness the power of AI in regulatory intelligence, and we continue to lead with our cutting edge technology. At CUBE, you will work alongside some of the brightest minds in AI research and engineering in developing impactful solutions that are reshaping the world of regulatory compliance. Role Mission We're seeking an experienced Technical Support Engineer to join our Workplace IT Support Team. Reporting to the Workplace Services Support Manager, you'll deliver comprehensive M365, end user compute, and workplace systems support to our global staff. This role combines hands on technical support with some project delivery, managing the complete staff life cycle, and acting as a key technical resource supporting Security Operations, Business Systems, and IT Procurement functions. This is an excellent opportunity for a self motivated support professional to make a real impact in a fast growing RegTech business serving global financial institutions. Key Responsibilities Technical Support & Service Delivery Provide 1st/2nd line technical support for M365, end user compute, and workplace systems to staff Log, prioritize, and resolve incidents via Service Desk ensuring SLA compliance, escalating complex issues as needed Participate in high priority incident (P1/P2) response, maintaining detailed documentation for RCA Troubleshoot hardware, software, application, and connectivity issues using systematic diagnostic approaches, coordinating support cases with Microsoft, Dell, and other suppliers Complete daily, weekly and monthly checks and reports Identify opportunities for process improvements and automation Execute complete staff lifecycle management including onboarding/offboarding (account creation/revocation, license allocation, equipment provisioning), access requests, and regular access audits Administer M365 tenant (Entra ID, Exchange Online, Teams, SharePoint, Intune, Defender, Purview) including user/group management, Active Directory policies, routine maintenance, and hybrid identity infrastructure Assist Security Operations with incident investigation, roll out of security controls, and compliance activities (ISO27001, SOC2) Provide technical and project support for Jira, Confluence, Miro and other business applications Obtain quotes, coordinate equipment orders, manage asset register, supplier relationships, and maintenance renewals Create and maintain technical documentation, procedures, knowledge base articles and training materials Participate in workplace technology projects including UAT, pilot programs, and training delivery Experience & Knowledge Minimum 2-3 years experience in technical support, service desk, or IT operations roles Proven M365 administration experience (Entra ID, Exchange Online, Teams, SharePoint, Intune) Hands on Windows 10/11 and macOS desktop/laptop support and troubleshooting Atlassian suite (Confluence, Jira) administration and support experience Excellent customer service and communication skills (verbal and written) Strong troubleshooting skills across hardware, software, network, and application issues Exposure to information security principles and compliance frameworks (ISO27001, SOC2) Desirable Requirements Microsoft certifications (MS-900, MS-102, MD-102, SC-900 or similar) PowerShell, Python, or other scripting languages for automation Experience supporting application development, infrastructure, or data management teams Knowledge of SSO, authentication, and identity management concepts Interested? If you are passionate about leveraging technology to transform regulatory compliance and meet the qualifications outlined above, we invite you to apply. Please submit your resume detailing your relevant experience and interest in CUBE. CUBE is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
A leading RegTech firm in Greater London is seeking a Machine Learning Engineer to drive the development of AI/ML products. This role involves creating ML solutions, utilizing cloud architecture, and collaborating with subject matter experts. The ideal candidate has over two years of experience in ML, particularly in NLP, proficiency in Python, and a solid grasp of statistical methods. Join a dynamic team committed to innovation in regulatory compliance and leverage your skills to make a significant impact.
02/02/2026
Full time
A leading RegTech firm in Greater London is seeking a Machine Learning Engineer to drive the development of AI/ML products. This role involves creating ML solutions, utilizing cloud architecture, and collaborating with subject matter experts. The ideal candidate has over two years of experience in ML, particularly in NLP, proficiency in Python, and a solid grasp of statistical methods. Join a dynamic team committed to innovation in regulatory compliance and leverage your skills to make a significant impact.
CUBE are a global RegTech business defining and implementing the gold standard of regulatory intelligence for the financial services industry. We deliver our services through intuitive SaaS solutions, powered by AI, to simplify the complex and everchanging world of compliance for our clients. Why us? CUBE is a globally recognized brand at the forefront of Regulatory Technology. Our industry leading SaaS solutions are trusted by the world's top financial institutions globally. In 2024, we achieved over 50% growth, both organically and through two strategic acquisitions. We're a fast paced, high performing team that thrives on pushing boundaries-continuously evolving our products, services, and operations. At CUBE, we don't just keep up we stay ahead. We believe our future is built by bold, ambitious individuals who are driven to make a real difference. Our "make it happen" culture empowers you to take ownership of your career and accelerate your personal and professional development from day one. With over 700 CUBERs across 19 countries spanning EMEA, the Americas, and APAC, we operate as one team with a shared mission to transform regulatory compliance. Diversity, collaboration, and purpose are the heartbeat of our success. We were among the first to harness the power of AI in regulatory intelligence, and we continue to lead with our cutting edge technology. At CUBE, You will work alongside some of the brightest minds in AI research and engineering in developing impactful solutions that are reshaping the world of regulatory compliance. Role Overview As a Machine Learning Engineer, you will drive the development and continuous improvement of our AI/ML powered products, including recommender systems, NLP solutions, and LLM driven features. Your mission is to deliver advanced, production ready ML solutions that delight users while maintaining excellence in cloud based ML engineering with equal focus on Development and Operations. Key Responsibilities Develop, improve and productionise ML and LLM based features for our internal and external platforms to solve challenges like: High cardinality hierarchical classifications Personalised content filtering of legal documents Using ML/LLMs to network heterogenous text data at scale Building agent ready tools to leverage insights from our knowledge graph Leverage cloud architecture (primarily Azure) to deploy interpretable ML/DL solutions that scale efficiently. Collaborate with SMEs to ground research proposals to CUBE's dynamic, unstructured, high dimensional data. Continuously seek opportunities to innovate, learn, and apply the latest research to new products and services. Requirements Experience & Technical Skills: At least two years of professional experience in ML, ideally within the NLP domain. Solid understanding of statistical and machine learning techniques with ability to select models that best suit the problem at hand. Ability to write clear, robust, and testable code in Python. Confident using SQL and NoSQL/graph databases. Solid understanding of data structures, data modelling, and software architecture, especially cloud based. Mindset & Approach: A systems thinking approach with ability to think in O(n) as much as plan product orchestration. An engineer who can keep up with mathematically and statistically oriented colleagues. Natural creativity with a track record of exploring innovative use cases of data and applications of statistical/ML methods. Strong communication skills, capable of explaining complex technical concepts to employees across the business. Desirable: Experience building and deploying LLM based agentic solutions into production. Solid understanding of recommender system principles and how they work. Demonstrated proficiency through GitHub profiles/online portfolios, Stack Overflow or Kaggle contributions. Experience or interest in neurosymbolic AI. A healthy sense of humour, or short of this, a high weekly rate of Machine Learning puns. Interested? If you are passionate about leveraging technology to transform regulatory compliance and meet the qualifications outlined above, we invite you to apply. Please submit your resume detailing your relevant experience and interest in CUBE. CUBE is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
02/02/2026
Full time
CUBE are a global RegTech business defining and implementing the gold standard of regulatory intelligence for the financial services industry. We deliver our services through intuitive SaaS solutions, powered by AI, to simplify the complex and everchanging world of compliance for our clients. Why us? CUBE is a globally recognized brand at the forefront of Regulatory Technology. Our industry leading SaaS solutions are trusted by the world's top financial institutions globally. In 2024, we achieved over 50% growth, both organically and through two strategic acquisitions. We're a fast paced, high performing team that thrives on pushing boundaries-continuously evolving our products, services, and operations. At CUBE, we don't just keep up we stay ahead. We believe our future is built by bold, ambitious individuals who are driven to make a real difference. Our "make it happen" culture empowers you to take ownership of your career and accelerate your personal and professional development from day one. With over 700 CUBERs across 19 countries spanning EMEA, the Americas, and APAC, we operate as one team with a shared mission to transform regulatory compliance. Diversity, collaboration, and purpose are the heartbeat of our success. We were among the first to harness the power of AI in regulatory intelligence, and we continue to lead with our cutting edge technology. At CUBE, You will work alongside some of the brightest minds in AI research and engineering in developing impactful solutions that are reshaping the world of regulatory compliance. Role Overview As a Machine Learning Engineer, you will drive the development and continuous improvement of our AI/ML powered products, including recommender systems, NLP solutions, and LLM driven features. Your mission is to deliver advanced, production ready ML solutions that delight users while maintaining excellence in cloud based ML engineering with equal focus on Development and Operations. Key Responsibilities Develop, improve and productionise ML and LLM based features for our internal and external platforms to solve challenges like: High cardinality hierarchical classifications Personalised content filtering of legal documents Using ML/LLMs to network heterogenous text data at scale Building agent ready tools to leverage insights from our knowledge graph Leverage cloud architecture (primarily Azure) to deploy interpretable ML/DL solutions that scale efficiently. Collaborate with SMEs to ground research proposals to CUBE's dynamic, unstructured, high dimensional data. Continuously seek opportunities to innovate, learn, and apply the latest research to new products and services. Requirements Experience & Technical Skills: At least two years of professional experience in ML, ideally within the NLP domain. Solid understanding of statistical and machine learning techniques with ability to select models that best suit the problem at hand. Ability to write clear, robust, and testable code in Python. Confident using SQL and NoSQL/graph databases. Solid understanding of data structures, data modelling, and software architecture, especially cloud based. Mindset & Approach: A systems thinking approach with ability to think in O(n) as much as plan product orchestration. An engineer who can keep up with mathematically and statistically oriented colleagues. Natural creativity with a track record of exploring innovative use cases of data and applications of statistical/ML methods. Strong communication skills, capable of explaining complex technical concepts to employees across the business. Desirable: Experience building and deploying LLM based agentic solutions into production. Solid understanding of recommender system principles and how they work. Demonstrated proficiency through GitHub profiles/online portfolios, Stack Overflow or Kaggle contributions. Experience or interest in neurosymbolic AI. A healthy sense of humour, or short of this, a high weekly rate of Machine Learning puns. Interested? If you are passionate about leveraging technology to transform regulatory compliance and meet the qualifications outlined above, we invite you to apply. Please submit your resume detailing your relevant experience and interest in CUBE. CUBE is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
CUBE are a global RegTech business defining and implementing the gold standard of regulatory intelligence for the financial services industry. We deliver our services through intuitive SaaS solutions, powered by AI, to simplify the complex and everchanging world of compliance for our clients. Why us? CUBE is a globally recognized brand at the forefront of Regulatory Technology. Our industry-leading SaaS solutions are trusted by the world's top financial institutions globally. In 2024, we achieved over 50% growth, both organically and through two strategic acquisitions. We're a fast-paced, high-performing team that thrives on pushing boundaries-continuously evolving our products, services, and operations. At CUBE, we don't just keep up we stay ahead. We believe our future is built by bold, ambitious individuals who are driven to make a real difference. Our "make it happen" culture empowers you to take ownership of your career and accelerate your personal and professional development from day one. With over 700 CUBERs across 19 countries spanning EMEA, the Americas, and APAC, we operate as one team with a shared mission to transform regulatory compliance. Diversity, collaboration, and purpose are the heartbeat of our success. We were among the first to harness the power of AI in regulatory intelligence, and we continue to lead with our cutting edge technology. At CUBE, You will work alongside some of the brightest minds in AI research and engineering in developing impactful solutions that are reshaping the world of regulatory compliance. As Head of Product Design at CUBE, you will lead and scale our design function to deliver exceptional user experiences across our enterprise B2B SaaS platform. You will shape the design vision, manage a team of talented UX and UI designers, and work closely with product, engineering, and customer teams to create intuitive, visually impactful, and highly usable products. Your leadership will ensure that design is a strategic driver of customer engagement, adoption, and value creation, helping financial institutions manage regulatory change with clarity and confidence. Responsibilities Leadership & Strategy Define and own the design vision and strategy for CUBE's platform, ensuring alignment with product and business goals. Build, mentor, and inspire a high-performing design team, fostering a culture of creativity, collaboration, and continuous improvement. Design Execution Oversee the end-to-end design process, from discovery and ideation to prototyping, testing, and delivery. Champion user-centered design principles to create intuitive, elegant, and impactful user experiences. Drive rapid prototyping and leverage AI-powered tools to accelerate design cycles and innovation. Collaboration & Influence Partner with product managers, engineers, and customer-facing teams to ensure seamless integration of design into the product development lifecycle. Lead customer workshops and discovery sessions to translate complex needs into simple, actionable design solutions. Advocate for design excellence across the organization, influencing stakeholders at all levels. Quality & Consistency Establish and maintain design systems, standards, and best practices to ensure consistency and scalability across products. Monitor and measure the impact of design on user engagement, adoption, and satisfaction, using data to inform decisions. Knowledge and experience Proven experience leading design teams in an Enterprise B2B SaaS environment. Strong track record of delivering customer-facing products that balance usability, functionality, and visual appeal. Expertise in UX and UI design, with a deep understanding of user-centered design principles and methodologies. Experience with rapid prototyping, including the use of AI tools to accelerate design and testing. Excellent communication and stakeholder management skills, with the ability to influence and inspire across technical and non-technical audiences. Familiarity with design systems, accessibility standards, and responsive web design. Bonus: Knowledge of regulatory technology or financial services. Interested? If you are passionate about leveraging technology to transform regulatory compliance and meet the qualifications outlined above, we invite you to apply. Please submit your resume detailing your relevant experience and interest in CUBE. CUBE is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
02/02/2026
Full time
CUBE are a global RegTech business defining and implementing the gold standard of regulatory intelligence for the financial services industry. We deliver our services through intuitive SaaS solutions, powered by AI, to simplify the complex and everchanging world of compliance for our clients. Why us? CUBE is a globally recognized brand at the forefront of Regulatory Technology. Our industry-leading SaaS solutions are trusted by the world's top financial institutions globally. In 2024, we achieved over 50% growth, both organically and through two strategic acquisitions. We're a fast-paced, high-performing team that thrives on pushing boundaries-continuously evolving our products, services, and operations. At CUBE, we don't just keep up we stay ahead. We believe our future is built by bold, ambitious individuals who are driven to make a real difference. Our "make it happen" culture empowers you to take ownership of your career and accelerate your personal and professional development from day one. With over 700 CUBERs across 19 countries spanning EMEA, the Americas, and APAC, we operate as one team with a shared mission to transform regulatory compliance. Diversity, collaboration, and purpose are the heartbeat of our success. We were among the first to harness the power of AI in regulatory intelligence, and we continue to lead with our cutting edge technology. At CUBE, You will work alongside some of the brightest minds in AI research and engineering in developing impactful solutions that are reshaping the world of regulatory compliance. As Head of Product Design at CUBE, you will lead and scale our design function to deliver exceptional user experiences across our enterprise B2B SaaS platform. You will shape the design vision, manage a team of talented UX and UI designers, and work closely with product, engineering, and customer teams to create intuitive, visually impactful, and highly usable products. Your leadership will ensure that design is a strategic driver of customer engagement, adoption, and value creation, helping financial institutions manage regulatory change with clarity and confidence. Responsibilities Leadership & Strategy Define and own the design vision and strategy for CUBE's platform, ensuring alignment with product and business goals. Build, mentor, and inspire a high-performing design team, fostering a culture of creativity, collaboration, and continuous improvement. Design Execution Oversee the end-to-end design process, from discovery and ideation to prototyping, testing, and delivery. Champion user-centered design principles to create intuitive, elegant, and impactful user experiences. Drive rapid prototyping and leverage AI-powered tools to accelerate design cycles and innovation. Collaboration & Influence Partner with product managers, engineers, and customer-facing teams to ensure seamless integration of design into the product development lifecycle. Lead customer workshops and discovery sessions to translate complex needs into simple, actionable design solutions. Advocate for design excellence across the organization, influencing stakeholders at all levels. Quality & Consistency Establish and maintain design systems, standards, and best practices to ensure consistency and scalability across products. Monitor and measure the impact of design on user engagement, adoption, and satisfaction, using data to inform decisions. Knowledge and experience Proven experience leading design teams in an Enterprise B2B SaaS environment. Strong track record of delivering customer-facing products that balance usability, functionality, and visual appeal. Expertise in UX and UI design, with a deep understanding of user-centered design principles and methodologies. Experience with rapid prototyping, including the use of AI tools to accelerate design and testing. Excellent communication and stakeholder management skills, with the ability to influence and inspire across technical and non-technical audiences. Familiarity with design systems, accessibility standards, and responsive web design. Bonus: Knowledge of regulatory technology or financial services. Interested? If you are passionate about leveraging technology to transform regulatory compliance and meet the qualifications outlined above, we invite you to apply. Please submit your resume detailing your relevant experience and interest in CUBE. CUBE is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
A global RegTech business seeking a Head of Data Engineering to lead the design and operation of their data platform. You will be responsible for building a high-performing Azure-based data platform, establishing governance frameworks, and leading a talented team. Ideal candidates will have substantial experience in data engineering leadership within B2B SaaS environments. Join us to shape the future of regulatory compliance using advanced technology and innovative solutions.
02/02/2026
Full time
A global RegTech business seeking a Head of Data Engineering to lead the design and operation of their data platform. You will be responsible for building a high-performing Azure-based data platform, establishing governance frameworks, and leading a talented team. Ideal candidates will have substantial experience in data engineering leadership within B2B SaaS environments. Join us to shape the future of regulatory compliance using advanced technology and innovative solutions.
CUBE are a global RegTech business defining and implementing the gold standard of regulatory intelligence for the financial services industry. We deliver our services through intuitive SaaS solutions, powered by AI, to simplify the complex and everchanging world of compliance for our clients. Why us? CUBE is a globally recognized brand at the forefront of Regulatory Technology. Our industry-leading SaaS solutions are trusted by the world's top financial institutions globally. In 2024, we achieved over 50% growth, both organically and through two strategic acquisitions. We're a fast-paced, high-performing team that thrives on pushing boundaries-continuously evolving our products, services, and operations. At CUBE, we don't just keep up we stay ahead. We believe our future is built by bold, ambitious individuals who are driven to make a real difference. Our "make it happen" culture empowers you to take ownership of your career and accelerate your personal and professional development from day one. With over 700 CUBERs across 19 countries spanning EMEA, the Americas, and APAC, we operate as one team with a shared mission to transform regulatory compliance. Diversity, collaboration, and purpose are the heartbeat of our success. We were among the first to harness the power of AI in regulatory intelligence, and we continue to lead with our cutting edge technology. At CUBE, You work alongside some of the brightest minds in AI research and engineering in developing impactful solutions that are reshaping the world of regulatory compliance. Purpose of the job: Lead the design, delivery, and operation of CUBE's modern data platform-the foundational infrastructure that transforms unstructured regulatory content into organised, governed, and AI ready data assets. Your mission is to build and scale a high performing Azure based data platform that enables complex analytical queries, powers AI driven intelligence, and supports CUBE's position as the leading regulatory risk management platform. You will own the technical vision, roadmap, and delivery of data engineering capabilities that underpin our product innovation and customer value. You will build, develop, and lead a multidisciplinary team of data engineers, data architects, and infrastructure engineers, fostering a culture of technical excellence, collaboration, and continuous improvement. This role is critical to CUBE's data and AI strategy. Responsibilities: Establish and enforce data governance frameworks, ensuring data quality, lineage, security, and compliance across the platform. Build platform capabilities to support complex analytical queries, AI model training, and real time intelligence requirements. Collaborate with Data & AI Engineering leadership, product teams, and architects to align platform capabilities with business objectives and product requirements. Drive technical delivery through agile practices, setting clear objectives, managing backlogs, and ensuring on time, high quality releases. Champion engineering best practices including CI/CD, infrastructure as code, automated testing, and observability. Optimise platform performance, cost efficiency, and reliability, monitoring key metrics and driving continuous improvement. Build, develop, and mentor a high performing team of data engineers, data architects, and infrastructure engineers. Establish clear career frameworks, foster technical growth, and create an inclusive, collaborative team culture. Stay abreast of emerging technologies and Azure platform capabilities, evaluating and adopting innovations that deliver competitive advantage. Contribute to the broader Data & AI Engineering strategy and organisational initiatives. What we're looking for: Significant experience as a Head of Data Engineering, Lead Data Platform Engineer, or equivalent senior technical leadership role. Proven track record of designing and delivering modern data platforms at scale in B2B SaaS or enterprise environments. Deep expertise in Microsoft Azure data services including Azure Data Factory, Synapse Analytics, Data Lake Storage, and Fabric. Strong understanding of data architecture patterns for ingesting, transforming, and governing unstructured and semi structured data. Experience building data platforms that support AI/ML workloads, including feature engineering, model training pipelines, and inference infrastructure. Hands on knowledge of data governance frameworks, including data quality, lineage, cataloguing, and compliance requirements. Proficiency in modern data engineering tools and practices including Python, SQL, Spark, Terraform, and CI/CD pipelines. Experience leading and developing engineering teams, with demonstrated ability to recruit, mentor, and build high performing technical organisations. Strong understanding of agile delivery practices, backlog management, and technical project execution. Excellent communication skills to articulate complex technical concepts to non technical stakeholders and influence executive decision making. Mindset & Approach: Strategic thinker with a pragmatic approach to technical delivery and trade offs. Engineering excellence mindset: passionate about quality, performance, and maintainability. Outcome driven and data informed, measuring success through platform adoption, performance metrics, and business impact. Strong people leadership capabilities with a focus on building inclusive, collaborative teams. Growth oriented: committed to continuous learning and developing team capabilities. Comfortable navigating ambiguity and complexity, bringing clarity and focus for technical teams. Commercial awareness, understanding how technical decisions align with business objectives and customer value. Ownership driven with accountability for technical delivery and platform reliability. Interested? If you are passionate about leveraging technology to transform regulatory compliance and meet the qualifications outlined above, we invite you to apply. Please submit your resume detailing your relevant experience and interest in CUBE. CUBE is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
02/02/2026
Full time
CUBE are a global RegTech business defining and implementing the gold standard of regulatory intelligence for the financial services industry. We deliver our services through intuitive SaaS solutions, powered by AI, to simplify the complex and everchanging world of compliance for our clients. Why us? CUBE is a globally recognized brand at the forefront of Regulatory Technology. Our industry-leading SaaS solutions are trusted by the world's top financial institutions globally. In 2024, we achieved over 50% growth, both organically and through two strategic acquisitions. We're a fast-paced, high-performing team that thrives on pushing boundaries-continuously evolving our products, services, and operations. At CUBE, we don't just keep up we stay ahead. We believe our future is built by bold, ambitious individuals who are driven to make a real difference. Our "make it happen" culture empowers you to take ownership of your career and accelerate your personal and professional development from day one. With over 700 CUBERs across 19 countries spanning EMEA, the Americas, and APAC, we operate as one team with a shared mission to transform regulatory compliance. Diversity, collaboration, and purpose are the heartbeat of our success. We were among the first to harness the power of AI in regulatory intelligence, and we continue to lead with our cutting edge technology. At CUBE, You work alongside some of the brightest minds in AI research and engineering in developing impactful solutions that are reshaping the world of regulatory compliance. Purpose of the job: Lead the design, delivery, and operation of CUBE's modern data platform-the foundational infrastructure that transforms unstructured regulatory content into organised, governed, and AI ready data assets. Your mission is to build and scale a high performing Azure based data platform that enables complex analytical queries, powers AI driven intelligence, and supports CUBE's position as the leading regulatory risk management platform. You will own the technical vision, roadmap, and delivery of data engineering capabilities that underpin our product innovation and customer value. You will build, develop, and lead a multidisciplinary team of data engineers, data architects, and infrastructure engineers, fostering a culture of technical excellence, collaboration, and continuous improvement. This role is critical to CUBE's data and AI strategy. Responsibilities: Establish and enforce data governance frameworks, ensuring data quality, lineage, security, and compliance across the platform. Build platform capabilities to support complex analytical queries, AI model training, and real time intelligence requirements. Collaborate with Data & AI Engineering leadership, product teams, and architects to align platform capabilities with business objectives and product requirements. Drive technical delivery through agile practices, setting clear objectives, managing backlogs, and ensuring on time, high quality releases. Champion engineering best practices including CI/CD, infrastructure as code, automated testing, and observability. Optimise platform performance, cost efficiency, and reliability, monitoring key metrics and driving continuous improvement. Build, develop, and mentor a high performing team of data engineers, data architects, and infrastructure engineers. Establish clear career frameworks, foster technical growth, and create an inclusive, collaborative team culture. Stay abreast of emerging technologies and Azure platform capabilities, evaluating and adopting innovations that deliver competitive advantage. Contribute to the broader Data & AI Engineering strategy and organisational initiatives. What we're looking for: Significant experience as a Head of Data Engineering, Lead Data Platform Engineer, or equivalent senior technical leadership role. Proven track record of designing and delivering modern data platforms at scale in B2B SaaS or enterprise environments. Deep expertise in Microsoft Azure data services including Azure Data Factory, Synapse Analytics, Data Lake Storage, and Fabric. Strong understanding of data architecture patterns for ingesting, transforming, and governing unstructured and semi structured data. Experience building data platforms that support AI/ML workloads, including feature engineering, model training pipelines, and inference infrastructure. Hands on knowledge of data governance frameworks, including data quality, lineage, cataloguing, and compliance requirements. Proficiency in modern data engineering tools and practices including Python, SQL, Spark, Terraform, and CI/CD pipelines. Experience leading and developing engineering teams, with demonstrated ability to recruit, mentor, and build high performing technical organisations. Strong understanding of agile delivery practices, backlog management, and technical project execution. Excellent communication skills to articulate complex technical concepts to non technical stakeholders and influence executive decision making. Mindset & Approach: Strategic thinker with a pragmatic approach to technical delivery and trade offs. Engineering excellence mindset: passionate about quality, performance, and maintainability. Outcome driven and data informed, measuring success through platform adoption, performance metrics, and business impact. Strong people leadership capabilities with a focus on building inclusive, collaborative teams. Growth oriented: committed to continuous learning and developing team capabilities. Comfortable navigating ambiguity and complexity, bringing clarity and focus for technical teams. Commercial awareness, understanding how technical decisions align with business objectives and customer value. Ownership driven with accountability for technical delivery and platform reliability. Interested? If you are passionate about leveraging technology to transform regulatory compliance and meet the qualifications outlined above, we invite you to apply. Please submit your resume detailing your relevant experience and interest in CUBE. CUBE is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.