201 to 225 of 252 Data Lake Jobs in the South East

identity management. Experience with Copilot Studio and building custom Copilot agents or plugins. Familiarity with REST APIs, JSON, OAuth, and integration patterns with enterprise systems (e.g., CRM, ERP, data lakes). Understanding of prompt engineering, grounding techniques, and responsible AI principles. Soft Skills: Strong communication and stakeholder engagement skills, with the ability to explain complex technical concepts to More ❯

skills are required: Strong experience in a similar role (Quant Development/Analysis) Front Office experience , Ideally with experience working on Fixed income products Strong Python Strong exposure to datalake techynologies - Snowflake etc Excellent communication skills Interviews taking place ASAP. Please don't hesitate to reach out direct. More ❯

and analysing vast datasets, their collaborative agent system predicts client needs before they arise, delivering the “silver bullet” of foresight to financial institutions. With an intelligent data lake that learns continuously, this technology has the potential to revolutionize B2B sales productivity and client service delivery on a global scale. THE ROLE As CTO , you’ll be both … leader who can turn an ambitious vision into a scalable, intelligent platform. You’ll own technology decisions, defining the product roadmap, and build a world-class engineering and data team. From shaping the MVP to driving innovation and investor credibility, this is a rare opportunity to create lasting impact in an emerging AI frontier. Specifically, you can expect … for the Predictive Intelligence platform. Designing and overseeing the development of the MVP and scaling it to enterprise-grade readiness. Building and mentoring a high-performing engineering and data team from the ground up. Partnering closely with the founding team on product direction, innovation, and go-to-market execution. Owning decisions around tech stack, tooling, and infrastructure — balancing More ❯

and analysing vast datasets, their collaborative agent system predicts client needs before they arise, delivering the “silver bullet” of foresight to financial institutions. With an intelligent data lake that learns continuously, this technology has the potential to revolutionize B2B sales productivity and client service delivery on a global scale. THE ROLE As CTO , you’ll be both … leader who can turn an ambitious vision into a scalable, intelligent platform. You’ll own technology decisions, defining the product roadmap, and build a world-class engineering and data team. From shaping the MVP to driving innovation and investor credibility, this is a rare opportunity to create lasting impact in an emerging AI frontier. Specifically, you can expect … for the Predictive Intelligence platform. Designing and overseeing the development of the MVP and scaling it to enterprise-grade readiness. Building and mentoring a high-performing engineering and data team from the ground up. Partnering closely with the founding team on product direction, innovation, and go-to-market execution. Owning decisions around tech stack, tooling, and infrastructure — balancing More ❯

and analysing vast datasets, their collaborative agent system predicts client needs before they arise, delivering the “silver bullet” of foresight to financial institutions. With an intelligent data lake that learns continuously, this technology has the potential to revolutionize B2B sales productivity and client service delivery on a global scale. THE ROLE As CTO , you’ll be both … leader who can turn an ambitious vision into a scalable, intelligent platform. You’ll own technology decisions, defining the product roadmap, and build a world-class engineering and data team. From shaping the MVP to driving innovation and investor credibility, this is a rare opportunity to create lasting impact in an emerging AI frontier. Specifically, you can expect … for the Predictive Intelligence platform. Designing and overseeing the development of the MVP and scaling it to enterprise-grade readiness. Building and mentoring a high-performing engineering and data team from the ground up. Partnering closely with the founding team on product direction, innovation, and go-to-market execution. Owning decisions around tech stack, tooling, and infrastructure — balancing More ❯

onsite per week) Contract Type: Contract Duration: 6–12 months (possibility of extension) Start Date: ASAP Overview We are seeking an experienced Machine Learning Engineer to join our data science and AI engineering team on a contract basis in London. The ideal candidate will be responsible for designing, developing, and deploying machine learning models and scalable data … advanced analytics and intelligent automation initiatives. This role offers a hybrid work arrangement , combining flexibility with collaboration, and is ideal for a contractor who thrives in fast-paced, data-driven environments. Key Responsibilities Design, build, and deploy machine learning models and AI-driven solutions to address business challenges. Collaborate with data scientists to transition prototypes into … production-ready systems . Develop and maintain end-to-end ML pipelines for data ingestion, training, testing, and deployment. Optimise model performance, scalability, and reliability using MLOps best practices. Work with large-scale structured and unstructured datasets for model training and validation. Implement model monitoring, versioning, and retraining processes to ensure continuous improvement. Collaborate cross-functionally with engineering More ❯

onsite per week) Contract Type: Contract Duration: 6–12 months (possibility of extension) Start Date: ASAP Overview We are seeking an experienced Machine Learning Engineer to join our data science and AI engineering team on a contract basis in London. The ideal candidate will be responsible for designing, developing, and deploying machine learning models and scalable data … advanced analytics and intelligent automation initiatives. This role offers a hybrid work arrangement , combining flexibility with collaboration, and is ideal for a contractor who thrives in fast-paced, data-driven environments. Key Responsibilities Design, build, and deploy machine learning models and AI-driven solutions to address business challenges. Collaborate with data scientists to transition prototypes into … production-ready systems . Develop and maintain end-to-end ML pipelines for data ingestion, training, testing, and deployment. Optimise model performance, scalability, and reliability using MLOps best practices. Work with large-scale structured and unstructured datasets for model training and validation. Implement model monitoring, versioning, and retraining processes to ensure continuous improvement. Collaborate cross-functionally with engineering More ❯

onsite per week) Contract Type: Contract Duration: 6–12 months (possibility of extension) Start Date: ASAP Overview We are seeking an experienced Machine Learning Engineer to join our data science and AI engineering team on a contract basis in London. The ideal candidate will be responsible for designing, developing, and deploying machine learning models and scalable data … advanced analytics and intelligent automation initiatives. This role offers a hybrid work arrangement , combining flexibility with collaboration, and is ideal for a contractor who thrives in fast-paced, data-driven environments. Key Responsibilities Design, build, and deploy machine learning models and AI-driven solutions to address business challenges. Collaborate with data scientists to transition prototypes into … production-ready systems . Develop and maintain end-to-end ML pipelines for data ingestion, training, testing, and deployment. Optimise model performance, scalability, and reliability using MLOps best practices. Work with large-scale structured and unstructured datasets for model training and validation. Implement model monitoring, versioning, and retraining processes to ensure continuous improvement. Collaborate cross-functionally with engineering More ❯

objective from discovery through to adoption into BAU, utilising a combination of agile and traditional project and change management techniques. There is also a large-scale focus on data analysis and modelling. We put a large focus on internal advocacy, you will get real responsibility and accountability from the outset, you tell us how far you want to … combined minimum of 5 years Business Analysis experience in a previous consultancy or in industry Financial Services experience across Investments, Insurance, Asset Management or Wealth Management Experience in data analysis, data modelling, data lakes, visualisation techniques and implementation of digital dashboards Experience in identifying, scoping and implementing opportunities for non-technical and digitally enabled More ❯

objective from discovery through to adoption into BAU, utilising a combination of agile and traditional project and change management techniques. There is also a large-scale focus on data analysis and modelling. We put a large focus on internal advocacy, you will get real responsibility and accountability from the outset, you tell us how far you want to … combined minimum of 5 years Business Analysis experience in a previous consultancy or in industry Financial Services experience across Investments, Insurance, Asset Management or Wealth Management Experience in data analysis, data modelling, data lakes, visualisation techniques and implementation of digital dashboards Experience in identifying, scoping and implementing opportunities for non-technical and digitally enabled More ❯

objective from discovery through to adoption into BAU, utilising a combination of agile and traditional project and change management techniques. There is also a large-scale focus on data analysis and modelling. We put a large focus on internal advocacy, you will get real responsibility and accountability from the outset, you tell us how far you want to … combined minimum of 5 years Business Analysis experience in a previous consultancy or in industry Financial Services experience across Investments, Insurance, Asset Management or Wealth Management Experience in data analysis, data modelling, data lakes, visualisation techniques and implementation of digital dashboards Experience in identifying, scoping and implementing opportunities for non-technical and digitally enabled More ❯

General Ledger system to Finance functions across their EMEA entities. The main focus will be in Finance Data & Processing Architecture including the roll out of Azure Databricks Lake House and Oracle Cloud platforms supplemented with process orchestration, workflow and microservices. This is a newly created highly visible role, on a greenfield programme. A brilliant opportunity! The following … skills/experience is required: Strong Delivery Manager/Project Manager background. Previously implemented a General Ledger system Good working knowledge of finance processes and associated data sets/taxonomies. Understanding of Data lakes, Data sourcing, accounting rules engines, reference data, is desirable. Understanding of accounting is desirable. Excellent communication skills. Salary More ❯

General Ledger system to Finance functions across their EMEA entities. The main focus will be in Finance Data & Processing Architecture including the roll out of Azure Databricks Lake House and Oracle Cloud platforms supplemented with process orchestration, workflow and microservices. This is a newly created highly visible role, on a greenfield programme. A brilliant opportunity! The following … skills/experience is required: Strong Delivery Manager/Project Manager background. Previously implemented a General Ledger system Good working knowledge of finance processes and associated data sets/taxonomies. Understanding of Data lakes, Data sourcing, accounting rules engines, reference data, is desirable. Understanding of accounting is desirable. Excellent communication skills. Salary More ❯

General Ledger system to Finance functions across their EMEA entities. The main focus will be in Finance Data & Processing Architecture including the roll out of Azure Databricks Lake House and Oracle Cloud platforms supplemented with process orchestration, workflow and microservices. This is a newly created highly visible role, on a greenfield programme. A brilliant opportunity! The following … skills/experience is required: Strong Delivery Manager/Project Manager background. Previously implemented a General Ledger system Good working knowledge of finance processes and associated data sets/taxonomies. Understanding of Data lakes, Data sourcing, accounting rules engines, reference data, is desirable. Understanding of accounting is desirable. Excellent communication skills. Salary More ❯

Role As the UK Engineering and SRE Lead (Backend) , you'll own the performance, scalability, and operational resilience of our UK backend systems - including payment gateways, settlement, fraud monitoring, datalake, and core banking services. You'll combine deep backend engineering expertise with a strong Site Reliability Engineering mindset, leading a hybrid team of software, DevOps, and SRE engineers. This role More ❯

Role As the UK Engineering and SRE Lead (Backend) , you’ll own the performance, scalability, and operational resilience of our UK backend systems — including payment gateways, settlement, fraud monitoring, datalake, and core banking services. You’ll combine deep backend engineering expertise with a strong Site Reliability Engineering mindset, leading a hybrid team of software, DevOps, and SRE engineers. This role More ❯

Role As the UK Engineering and SRE Lead (Backend) , you’ll own the performance, scalability, and operational resilience of our UK backend systems — including payment gateways, settlement, fraud monitoring, datalake, and core banking services. You’ll combine deep backend engineering expertise with a strong Site Reliability Engineering mindset, leading a hybrid team of software, DevOps, and SRE engineers. This role More ❯

Role As the UK Engineering and SRE Lead (Backend) , you’ll own the performance, scalability, and operational resilience of our UK backend systems — including payment gateways, settlement, fraud monitoring, datalake, and core banking services. You’ll combine deep backend engineering expertise with a strong Site Reliability Engineering mindset, leading a hybrid team of software, DevOps, and SRE engineers. This role More ❯

track record in leading architecture for large-scale transformation programmes (legacy to modern/cloud) with deep expertise in architectural patterns & governance frameworks (e.g., TOGAF, event-driven design, data-centric architecture). You must be a skilled communicator, able to convey complex concepts to both technical and non-technical audiences and strong leadership qualities: negotiation, influence, conflict resolution … portfolio & order management), operations, and distribution. Strong grasp of modern enterprise technology stacks : Cloud platforms (AWS, Azure, hybrid environments) Containerisation & orchestration (Kubernetes, microservices) API-first design & integration strategies Data platforms (data lakes, MDM, unified investment data hubs, analytics platforms Hands-on experience guiding systems development lifecycle from concept to deployment. Proactive, adaptable problem-solver … with a "can-do" mindset. Finbourne LUSID data hub, operations automation, digital client platforms would be highly advantageous. Domain Knowledge: (Nice to Have) Asset Management - Investments, Mutual Funds, Pensions, Public and Private Assets (Real Estate, loans, etc) Capital Markets - Equities, Debt Funds and Securities Understanding of Commercial and Investment Banking More ❯

track record in leading architecture for large-scale transformation programmes (legacy to modern/cloud) with deep expertise in architectural patterns & governance frameworks (e.g., TOGAF, event-driven design, data-centric architecture). You must be a skilled communicator, able to convey complex concepts to both technical and non-technical audiences and strong leadership qualities: negotiation, influence, conflict resolution … portfolio & order management), operations, and distribution. Strong grasp of modern enterprise technology stacks : Cloud platforms (AWS, Azure, hybrid environments) Containerisation & orchestration (Kubernetes, microservices) API-first design & integration strategies Data platforms (data lakes, MDM, unified investment data hubs, analytics platforms Hands-on experience guiding systems development lifecycle from concept to deployment. Proactive, adaptable problem-solver … with a “can-do” mindset. Finbourne LUSID data hub, operations automation, digital client platforms would be highly advantageous. Domain Knowledge: (Nice to Have) Asset Management – Investments, Mutual Funds, Pensions, Public and Private Assets (Real Estate, loans, etc) Capital Markets – Equities, Debt Funds and Securities Understanding of Commercial and Investment Banking More ❯

track record in leading architecture for large-scale transformation programmes (legacy to modern/cloud) with deep expertise in architectural patterns & governance frameworks (e.g., TOGAF, event-driven design, data-centric architecture). You must be a skilled communicator, able to convey complex concepts to both technical and non-technical audiences and strong leadership qualities: negotiation, influence, conflict resolution … portfolio & order management), operations, and distribution. Strong grasp of modern enterprise technology stacks : Cloud platforms (AWS, Azure, hybrid environments) Containerisation & orchestration (Kubernetes, microservices) API-first design & integration strategies Data platforms (data lakes, MDM, unified investment data hubs, analytics platforms Hands-on experience guiding systems development lifecycle from concept to deployment. Proactive, adaptable problem-solver … with a “can-do” mindset. Finbourne LUSID data hub, operations automation, digital client platforms would be highly advantageous. Domain Knowledge: (Nice to Have) Asset Management – Investments, Mutual Funds, Pensions, Public and Private Assets (Real Estate, loans, etc) Capital Markets – Equities, Debt Funds and Securities Understanding of Commercial and Investment Banking More ❯

track record in leading architecture for large-scale transformation programmes (legacy to modern/cloud) with deep expertise in architectural patterns & governance frameworks (e.g., TOGAF, event-driven design, data-centric architecture). You must be a skilled communicator, able to convey complex concepts to both technical and non-technical audiences and strong leadership qualities: negotiation, influence, conflict resolution … portfolio & order management), operations, and distribution. Strong grasp of modern enterprise technology stacks : Cloud platforms (AWS, Azure, hybrid environments) Containerisation & orchestration (Kubernetes, microservices) API-first design & integration strategies Data platforms (data lakes, MDM, unified investment data hubs, analytics platforms Hands-on experience guiding systems development lifecycle from concept to deployment. Proactive, adaptable problem-solver … with a “can-do” mindset. Finbourne LUSID data hub, operations automation, digital client platforms would be highly advantageous. Domain Knowledge: (Nice to Have) Asset Management – Investments, Mutual Funds, Pensions, Public and Private Assets (Real Estate, loans, etc) Capital Markets – Equities, Debt Funds and Securities Understanding of Commercial and Investment Banking More ❯

Define and socialise target state architectures across Azure/AWS/GCP (networking, identity, landing zones, operations). Deliver reference architectures and reusable patterns for containerised, serverless, and data workloads. Establish/extend Cloud Landing Zones (policy, guardrails, RBAC, tagging, network segmentation). Lead migration and modernisation (re‐host/re‐platform/re‐factor) for priority applications. … as applicable). Key Responsibilities Architecture & Design Produce HLDs/LLDs, diagrams, ADRs, non‐functional requirements, and traceability to business goals. Select and justify cloud services (compute, storage, data, AI/ML, integration). Define multi‐cloud connectivity (hub‐and‐spoke, transit gateways, ExpressRoute/Direct Connect/Cloud Interconnect, SD‐WAN). Design identity and access (Azure … guardrails (CIS benchmarks), cloud security posture management (Defender for Cloud, AWS Security Hub, GCP SCC). Vaulting and KMS (AWS KMS, Azure Key Vault, GCP KMS), key rotation, data classification & encryption. Threat modelling, zero trust patterns, vulnerability management, incident runbooks. Data & Integration Reference architectures for streaming/batch (Kafka/MSK, Event Hubs, Pub/Sub More ❯

Define and socialise target state architectures across Azure/AWS/GCP (networking, identity, landing zones, operations). Deliver reference architectures and reusable patterns for containerised, serverless, and data workloads. Establish/extend Cloud Landing Zones (policy, guardrails, RBAC, tagging, network segmentation). Lead migration and modernisation (re‐host/re‐platform/re‐factor) for priority applications. … as applicable). Key Responsibilities Architecture & Design Produce HLDs/LLDs, diagrams, ADRs, non‐functional requirements, and traceability to business goals. Select and justify cloud services (compute, storage, data, AI/ML, integration). Define multi‐cloud connectivity (hub‐and‐spoke, transit gateways, ExpressRoute/Direct Connect/Cloud Interconnect, SD‐WAN). Design identity and access (Azure … guardrails (CIS benchmarks), cloud security posture management (Defender for Cloud, AWS Security Hub, GCP SCC). Vaulting and KMS (AWS KMS, Azure Key Vault, GCP KMS), key rotation, data classification & encryption. Threat modelling, zero trust patterns, vulnerability management, incident runbooks. Data & Integration Reference architectures for streaming/batch (Kafka/MSK, Event Hubs, Pub/Sub More ❯

infrastructure and cloud with an eye for architecture as their business is evolving at speed. You will also be comfortable working in a financial regulated environment, Summary: Cloud, data, platform and cybersecurity experience in end to end systems As a Hands-on Leader, you will balance IT strategy with roll-up-your-sleeves delivery in a lean, agile … that aligns with business outcomes, driving requirements and collaborating across all teams. IT vendor management, offshore 3rd party experience IT governance and controls Technical Expertise includes: Azure, Reporting Data lakes and data analytics tooling (Power BI or similar), SQL databases, GDPR, and bridging the technical-actuarial gap. Delivery Expertise includes: ability to execute end-to-end … projects, either in-house or from consultancy engagement, with strong stakeholder collaboration. Requirements: Strong technical credentials in Azure, data architecture, and reporting Proven end-to-end delivery experience, ideally in Financial Services or consultancy Ability to bridge the gap between technical teams and Actuaries Hands-on leadership style, able to operate autonomously and collaboratively Right cultural fit: innovative More ❯