Tenth Revolution Group
Location: London (Hybrid - 2-3 days in office + client site as required) Salary: Around £110,000 + flexible cash benefits + up to 20% bonus Level: Director Level We're working with a leading consultancy that's shaping the future of data in financial services. They're looking for a Data Advisory Lead to join their growing Financial Services practice at Director Level, and help Tier 1 banking clients unlock the full potential of their data. This is a unique opportunity to step into a newly created leadership role, blending strategic advisory, client engagement, and technical insight. You'll be at the forefront of AI and GenAI adoption, helping clients navigate transformation journeys with the right mix of functional and technical expertise. What You'll Be Doing: Lead strategic data initiatives for Tier 1 banks, aligning business goals with regulatory and technological change. Advise senior stakeholders (CDO, CIO, CRO, CFO) and guide multi-disciplinary teams through complex transformation programmes. Shape enterprise data strategies, governance frameworks, and operating models. Engage in high-level conversations around AI, GenAI, and modern data platforms like Snowflake and Databricks - you don't need to be a deep technical SME, but you'll need to understand the landscape. Drive client growth by identifying opportunities, building relationships, and offering the right solutions - not just selling tech, but solving real business problems. What We're Looking For: Strong track-record in data advisory, strategy, or management roles. Experience working for Consulting firms and significant banking sector experience. Deep understanding of FS business models, regulatory landscape, and data challenges. Proven track record in delivering data transformation programmes. Strong knowledge of governance, architecture, and analytics platforms. Excellent stakeholder management and communication skills. Why Apply? Shape the future of data strategy in banking - this is the first role of its kind in the business, with incredible growth potential. Work with Tier 1 banking clients on high-impact transformation programmes. Join a dynamic, forward-thinking consultancy with a strong FS footprint. Enjoy a hybrid working model with flexibility and autonomy. Competitive salary package with excellent benefits and career progression. Ready to lead the future of data in financial services? Apply now or reach out for a confidential conversation. Please Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check. Tenth Revolution Group / Nigel Frank are the go-to recruiter for Data & AI roles in the UK, offering more opportunities across the country than any other. We're the proud sponsor and supporter of SQLBits, and the London Fabric & Power BI User Group. To find out more and speak confidentially about your job search or hiring needs, please contact me directly at
Location: London (Hybrid - 2-3 days in office + client site as required) Salary: Around £110,000 + flexible cash benefits + up to 20% bonus Level: Director Level We're working with a leading consultancy that's shaping the future of data in financial services. They're looking for a Data Advisory Lead to join their growing Financial Services practice at Director Level, and help Tier 1 banking clients unlock the full potential of their data. This is a unique opportunity to step into a newly created leadership role, blending strategic advisory, client engagement, and technical insight. You'll be at the forefront of AI and GenAI adoption, helping clients navigate transformation journeys with the right mix of functional and technical expertise. What You'll Be Doing: Lead strategic data initiatives for Tier 1 banks, aligning business goals with regulatory and technological change. Advise senior stakeholders (CDO, CIO, CRO, CFO) and guide multi-disciplinary teams through complex transformation programmes. Shape enterprise data strategies, governance frameworks, and operating models. Engage in high-level conversations around AI, GenAI, and modern data platforms like Snowflake and Databricks - you don't need to be a deep technical SME, but you'll need to understand the landscape. Drive client growth by identifying opportunities, building relationships, and offering the right solutions - not just selling tech, but solving real business problems. What We're Looking For: Strong track-record in data advisory, strategy, or management roles. Experience working for Consulting firms and significant banking sector experience. Deep understanding of FS business models, regulatory landscape, and data challenges. Proven track record in delivering data transformation programmes. Strong knowledge of governance, architecture, and analytics platforms. Excellent stakeholder management and communication skills. Why Apply? Shape the future of data strategy in banking - this is the first role of its kind in the business, with incredible growth potential. Work with Tier 1 banking clients on high-impact transformation programmes. Join a dynamic, forward-thinking consultancy with a strong FS footprint. Enjoy a hybrid working model with flexibility and autonomy. Competitive salary package with excellent benefits and career progression. Ready to lead the future of data in financial services? Apply now or reach out for a confidential conversation. Please Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check. Tenth Revolution Group / Nigel Frank are the go-to recruiter for Data & AI roles in the UK, offering more opportunities across the country than any other. We're the proud sponsor and supporter of SQLBits, and the London Fabric & Power BI User Group. To find out more and speak confidentially about your job search or hiring needs, please contact me directly at
Pontoon
Warwick, Warwickshire
Job Title: Lead Data Engineer Location: Warwick (Hybrid - once per week onsite) Remuneration: From 700 per day (via umbrella company) Contract Details: Fixed Term Contract, 6 months, Full Time Are you ready to take the lead in transforming data engineering? Our client, a forward-thinking organisation, is seeking a highly skilled and hands-on Lead Data Engineer to drive their Data & Insights platform built on the Azure stack. This is a Databricks-heavy role , ideal for someone who thrives in technical environments and enjoys working directly with cutting-edge tools. Why This Role Stands Out This is not just a leadership role - it's a hands-on engineering opportunity where your Databricks expertise will be front and centre . You'll be the go-to person for all things Databricks, from architecture and configuration to pipeline promotion and troubleshooting. Key Responsibilities Lead and deliver hands-on data engineering across all layers of the Azure-based data platform. Act as the Databricks SME (Subject Matter Expert) , overseeing architecture, configuration, and documentation. Guide and support the engineering team while contributing directly to development efforts. Manage DevOps practices including branch supervision and merging. Promote data pipelines and notebooks through development, testing, and production environments. Enhance monitoring and control frameworks to ensure platform reliability. Provide technical leadership and mentorship to a small team of Data Engineers. Essential Skills Extensive hands-on experience with Databricks - this is the core of the role. Strong background in Synapse and Azure DevOps. Proficiency in SQL and PySpark within a Databricks environment. Proven experience leading small engineering teams. Skilled in configuration management and technical documentation. If you're a Databricks expert looking for a role that blends leadership with deep technical involvement, this is your chance to make a real impact. Join a dynamic team and help shape the future of data engineering. Ready to elevate your career? Apply now and be a vital part of this exciting transformation! Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.
Job Title: Lead Data Engineer Location: Warwick (Hybrid - once per week onsite) Remuneration: From 700 per day (via umbrella company) Contract Details: Fixed Term Contract, 6 months, Full Time Are you ready to take the lead in transforming data engineering? Our client, a forward-thinking organisation, is seeking a highly skilled and hands-on Lead Data Engineer to drive their Data & Insights platform built on the Azure stack. This is a Databricks-heavy role , ideal for someone who thrives in technical environments and enjoys working directly with cutting-edge tools. Why This Role Stands Out This is not just a leadership role - it's a hands-on engineering opportunity where your Databricks expertise will be front and centre . You'll be the go-to person for all things Databricks, from architecture and configuration to pipeline promotion and troubleshooting. Key Responsibilities Lead and deliver hands-on data engineering across all layers of the Azure-based data platform. Act as the Databricks SME (Subject Matter Expert) , overseeing architecture, configuration, and documentation. Guide and support the engineering team while contributing directly to development efforts. Manage DevOps practices including branch supervision and merging. Promote data pipelines and notebooks through development, testing, and production environments. Enhance monitoring and control frameworks to ensure platform reliability. Provide technical leadership and mentorship to a small team of Data Engineers. Essential Skills Extensive hands-on experience with Databricks - this is the core of the role. Strong background in Synapse and Azure DevOps. Proficiency in SQL and PySpark within a Databricks environment. Proven experience leading small engineering teams. Skilled in configuration management and technical documentation. If you're a Databricks expert looking for a role that blends leadership with deep technical involvement, this is your chance to make a real impact. Join a dynamic team and help shape the future of data engineering. Ready to elevate your career? Apply now and be a vital part of this exciting transformation! Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.
W Talent
City, London
Principal Cybersecurity Machine Learning Engineer The position is a senior technical role, requiring knowledge of data engineering, data science, advanced analytics techniques, research and development, and innovation within one or more of the Cybersecurity sciences (e.g. network, endpoint and cloud security, cryptography, malware analysis, vulnerability assessment, privileged access management, anomaly/intrusion detection, incident response, or offensive security). The Principal Cybersecurity Analytics Engineer role is a key leadership, hands on technical role, contributing to, coordinating, and leading delivery of advanced analytics solutions to cybersecurity problems through rapid development of prototypes, engineering of production solutions, and exploration of longer term, potentially ground-breaking technologies. Cybersecurity-specific knowledge is required for the role, but exceptional candidates from other disciplines will also be considered. The ideal candidate will possess strong technical skills, an eagerness to learn, a keen interest in Cybersecurity, the ability to work collaboratively in a fast-paced environment, and an aptitude for picking up new tools and techniques on the job, building on existing skillsets as a foundation. You will have access to tailored professional development opportunities and a competitive pay and benefits package. This includes private healthcare for all UK-based employees, enhanced maternity and adoption pay and support when you return to work, and a contributory pension scheme with a generous employer contribution. In this role you will: Data Engineering Ingestion and provisioning of datasets, delta tables, and/or curated, re-usable data assets to enable Cybersecurity use cases. Support and enhancement of data ingestion infrastructure and pipelines. Platform Operations and Production Support Provide maintenance and run support for landing zones/cloud workspaces operated on behalf of Cybersecurity teams. Cybersecurity Sciences Research & Development (R&D) and Innovation Drive innovative research & development to test and evolve new technologies and advanced analytic techniques. Explore and develo innovative capabilities, exploiting emerging technologies and data science to help stay ahead of advancing cyber threats. Rapid Response Respond to urgent requests to address vulnerabilities or emerging threats. Advanced Analytics & Security Software Development Support Cybersecurity teams in using data and advanced analytic technologies effectively to enhance operations and inform decisions. Deliver critical analytics engineering requirements across Cybersecurity. Develop new data products, analysis platforms, and custom AI solutions to enable Cybersecurity teams to monitor controls more effectively, automatically detect and triage malicious activity, optimise manual tasks, better protect HSBC, and meet the needs of customers. Develop new models, detections, and automations to protect against advanced and emerging threats and help Cybersecurity operate efficiently and effectively at scale. Develop custom security applications, APIs, and data-driven services in support of the Cybersecurity mission. To be successful in this role you should meet the following requirements: Strong Data Technology skills, with the ability to build, operate, maintain and support loud infrastructure & data services at scale Extensive experience of Big Data Technologies (Databricks, Spark etc) Cloud Infrastructure & Platform Engineering experience (Azure preferred) The ability to conduct cybersecurity industry research and rapidly develop data-driven prototypes for live business problems faced by Cybersecurity teams Experience developing custom security applications, APIs, AI/ML models, detections, automations, and advanced analytic technologies to mitigate against current and emerging threats The ability to act as a Cybersecurity data domain expert and advise stakeholders how to use data and analytics to drive business change and improvement Proficiency in applying data science and advanced analytics techniques to the Cybersecurity domain and its associated datasets Full Stack Engineering and custom security software development experience with proficiency in programming languages such as Python, Java, C#, or similar preferred. This role can be based in Sheffield or Birmingham or London
Principal Cybersecurity Machine Learning Engineer The position is a senior technical role, requiring knowledge of data engineering, data science, advanced analytics techniques, research and development, and innovation within one or more of the Cybersecurity sciences (e.g. network, endpoint and cloud security, cryptography, malware analysis, vulnerability assessment, privileged access management, anomaly/intrusion detection, incident response, or offensive security). The Principal Cybersecurity Analytics Engineer role is a key leadership, hands on technical role, contributing to, coordinating, and leading delivery of advanced analytics solutions to cybersecurity problems through rapid development of prototypes, engineering of production solutions, and exploration of longer term, potentially ground-breaking technologies. Cybersecurity-specific knowledge is required for the role, but exceptional candidates from other disciplines will also be considered. The ideal candidate will possess strong technical skills, an eagerness to learn, a keen interest in Cybersecurity, the ability to work collaboratively in a fast-paced environment, and an aptitude for picking up new tools and techniques on the job, building on existing skillsets as a foundation. You will have access to tailored professional development opportunities and a competitive pay and benefits package. This includes private healthcare for all UK-based employees, enhanced maternity and adoption pay and support when you return to work, and a contributory pension scheme with a generous employer contribution. In this role you will: Data Engineering Ingestion and provisioning of datasets, delta tables, and/or curated, re-usable data assets to enable Cybersecurity use cases. Support and enhancement of data ingestion infrastructure and pipelines. Platform Operations and Production Support Provide maintenance and run support for landing zones/cloud workspaces operated on behalf of Cybersecurity teams. Cybersecurity Sciences Research & Development (R&D) and Innovation Drive innovative research & development to test and evolve new technologies and advanced analytic techniques. Explore and develo innovative capabilities, exploiting emerging technologies and data science to help stay ahead of advancing cyber threats. Rapid Response Respond to urgent requests to address vulnerabilities or emerging threats. Advanced Analytics & Security Software Development Support Cybersecurity teams in using data and advanced analytic technologies effectively to enhance operations and inform decisions. Deliver critical analytics engineering requirements across Cybersecurity. Develop new data products, analysis platforms, and custom AI solutions to enable Cybersecurity teams to monitor controls more effectively, automatically detect and triage malicious activity, optimise manual tasks, better protect HSBC, and meet the needs of customers. Develop new models, detections, and automations to protect against advanced and emerging threats and help Cybersecurity operate efficiently and effectively at scale. Develop custom security applications, APIs, and data-driven services in support of the Cybersecurity mission. To be successful in this role you should meet the following requirements: Strong Data Technology skills, with the ability to build, operate, maintain and support loud infrastructure & data services at scale Extensive experience of Big Data Technologies (Databricks, Spark etc) Cloud Infrastructure & Platform Engineering experience (Azure preferred) The ability to conduct cybersecurity industry research and rapidly develop data-driven prototypes for live business problems faced by Cybersecurity teams Experience developing custom security applications, APIs, AI/ML models, detections, automations, and advanced analytic technologies to mitigate against current and emerging threats The ability to act as a Cybersecurity data domain expert and advise stakeholders how to use data and analytics to drive business change and improvement Proficiency in applying data science and advanced analytics techniques to the Cybersecurity domain and its associated datasets Full Stack Engineering and custom security software development experience with proficiency in programming languages such as Python, Java, C#, or similar preferred. This role can be based in Sheffield or Birmingham or London
