Carrington Recruitment Solutions Ltd
Manchester, Lancashire
Digital Data Director / Consultant, Data Architecture, Data Engineering, Azure, Fabric, Databricks, Manchester, Hybrid Digital Data Director / Consultant required to work for a highly ambitious and fast-growing Consulting function, based in Manchester on a hybrid basis. The expectation is to be in the office circa two days per week and the rest from home. Please read in full before applying We need someone who is a seasoned Data Architecture and Engineering specialist not someone who has "done a bit of data". This requires someone who has operated at Director level in some consulting background, someone who has the gravitas to face-off to senior stakeholders, shape work, originate opportunities and help take clients on a proper data journey. Skills and experience required: A strong professional network across the United Kingdom and a demonstrable track record of originating, shaping and converting consulting opportunities for Data, Analytics and Artificial Intelligence projects Ideally Big 4 Experience, which would be preferable Strong consulting experience that includes solution development, proposal creation, commercial negotiation and building trusted adviser relationships with senior-level clients Proven ability to lead technical teams and data projects, with excellent coaching and mentoring skills A collaborative, pragmatic and client-centred mindset, with the ability to translate business problems into compelling data-led solutions A natural problem solver with intellectual curiosity and an agile, forward-thinking outlook A strong understanding of the real challenges businesses face today, and how digital and data technologies can genuinely enable change and transformation Significant experience in data architecture and data engineering, including building data platforms and working with cloud technologies such as Microsoft Azure Good grounding in programming and data engineering languages and frameworks such as Python, SQL, Microsoft Fabric and Databricks Certifications in relevant cloud and data technologies (Azure etc.) would be beneficial Excellent communication skills and the ability to inspire confidence in both technical and non-technical audiences This is a great opportunity and salary is dependent upon experience. Apply now for more details
Digital Data Director / Consultant, Data Architecture, Data Engineering, Azure, Fabric, Databricks, Manchester, Hybrid Digital Data Director / Consultant required to work for a highly ambitious and fast-growing Consulting function, based in Manchester on a hybrid basis. The expectation is to be in the office circa two days per week and the rest from home. Please read in full before applying We need someone who is a seasoned Data Architecture and Engineering specialist not someone who has "done a bit of data". This requires someone who has operated at Director level in some consulting background, someone who has the gravitas to face-off to senior stakeholders, shape work, originate opportunities and help take clients on a proper data journey. Skills and experience required: A strong professional network across the United Kingdom and a demonstrable track record of originating, shaping and converting consulting opportunities for Data, Analytics and Artificial Intelligence projects Ideally Big 4 Experience, which would be preferable Strong consulting experience that includes solution development, proposal creation, commercial negotiation and building trusted adviser relationships with senior-level clients Proven ability to lead technical teams and data projects, with excellent coaching and mentoring skills A collaborative, pragmatic and client-centred mindset, with the ability to translate business problems into compelling data-led solutions A natural problem solver with intellectual curiosity and an agile, forward-thinking outlook A strong understanding of the real challenges businesses face today, and how digital and data technologies can genuinely enable change and transformation Significant experience in data architecture and data engineering, including building data platforms and working with cloud technologies such as Microsoft Azure Good grounding in programming and data engineering languages and frameworks such as Python, SQL, Microsoft Fabric and Databricks Certifications in relevant cloud and data technologies (Azure etc.) would be beneficial Excellent communication skills and the ability to inspire confidence in both technical and non-technical audiences This is a great opportunity and salary is dependent upon experience. Apply now for more details
Emponics
Almondsbury, Gloucestershire
Our client is a Global FinTech with offices around the world inc Bristol and London in the UK . This AI Deployment Engineer role can be based out of Bristol or London offices. Ideally 3 days per week in the office but could be a little bit more flexible for the ideal candidate. AI Deployment Engineer Location: Bristol or London - Hybrid, 3 days in the office Salary: £80,000 - £130,000 p/a dependent on experience + excellent benefits You will be the deep technical engine behind their internal AI deployment team. Where the AI Deployment Strategist scopes and builds agents, you own the infrastructure underneath data pipelines, system integrations, and everything that ensures deployed AI solutions work reliably at scale. You will take prototypes to production, ensure all business systems communicate correctly, and build the technical backbone that our AI tooling depends on. Job Responsibilities • Own the data infrastructure underpinning AI deployments pipelines, storage, and data serving • Integrate AI solutions into the existing business ecosystem: CRMs, ERPs, SaaS tools, and internal systems • Build and maintain APIs, webhooks, and middleware that allow AI agents to interact with business systems • Take Strategist-built prototypes to production-grade hardening, scaling, and ensuring reliability • Set up monitoring, logging, and alerting across deployed pipelines and agent infrastructure • Manage data models, schemas, and storage supporting current and future AI deployments • Troubleshoot integration failures, data inconsistencies, and production issues Key Skills • Python & SQL (production-grade pipeline development) • REST APIs, webhooks, OAuth, event-driven architecture • Orchestration tools: Airflow, Prefect, or Dagster • Cloud platforms: AWS, GCP, or Azure • Docker & Kubernetes Microsoft 365 & Microsoft Copilot Desirable Skills • Vector databases and embedding pipelines • Real-time streaming (Kafka, Flink) • RPA tooling (UiPath, Power Automate) dbt for data transformation • Claude Code, Claude Cowork, or Claude Skills • Experience with vector databases, real-time streaming (Kafka, Flink), or RPA tooling (UiPath, Power Automate). Experience • 3 5 years in software or data engineering with strong exposure to system integrations, data pipelines, and production infrastructure. • Strong Python and SQL skills; experienced building robust, production-grade data pipelines from scratch. • Deep familiarity with integration patterns: REST APIs, webhooks, OAuth, and event-driven architectures. • Experience with orchestration tools (Airflow, Prefect, or Dagster) and transformation frameworks (dbt or similar). • Comfortable across cloud platforms (AWS, GCP, or Azure) and with containerisation (Docker, Kubernetes). • Experience connecting disparate business systems SaaS platforms, internal databases, and third-party APIs and making them work reliably. • Strong debugging instincts and a high bar for reliability and data integrity. • Comfortable with Microsoft 365 and Microsoft Copilot. Familiarity with AI productivity tools including Claude Code, Claude Cowork, and Claude Skills is a plus. Qualifications • Bachelor's degree in Computer Science, Engineering, or equivalent practical experience Python & SQL (production-grade pipeline development) • REST APIs, webhooks, OAuth, event-driven architecture • Orchestration tools: Airflow, Prefect, or Dagster • Cloud platforms: AWS, GCP, or Azure • Docker & Kubernetes Microsoft 365 & Microsoft Copilot • Vector databases and embedding pipelines • Real-time streaming (Kafka, Flink) • RPA tooling (UiPath, Power Automate) dbt for data transformation • Claude Code, Claude Cowork, or Claude Skills • Experience with vector databases, real-time streaming (Kafka, Flink), or RPA tooling (UiPath, Power Automate). Python & SQL (production-grade pipeline development) • REST APIs, webhooks, OAuth, event-driven architecture • Orchestration tools: Airflow, Prefect, or Dagster • Cloud platforms: AWS, GCP, or Azure • Docker & Kubernetes Microsoft 365 & Microsoft Copilot • Vector databases and embedding pipelines • Real-time streaming (Kafka, Flink) • RPA tooling (UiPath, Power Automate) dbt for data transformation • Claude Code, Claude Cowork, or Claude Skills • Experience with vector databases, real-time streaming (Kafka, Flink), or RPA tooling (UiPath, Power Automate). London bristol bristol london fintech finance bank artificial intelligence artificial intelligence
Our client is a Global FinTech with offices around the world inc Bristol and London in the UK . This AI Deployment Engineer role can be based out of Bristol or London offices. Ideally 3 days per week in the office but could be a little bit more flexible for the ideal candidate. AI Deployment Engineer Location: Bristol or London - Hybrid, 3 days in the office Salary: £80,000 - £130,000 p/a dependent on experience + excellent benefits You will be the deep technical engine behind their internal AI deployment team. Where the AI Deployment Strategist scopes and builds agents, you own the infrastructure underneath data pipelines, system integrations, and everything that ensures deployed AI solutions work reliably at scale. You will take prototypes to production, ensure all business systems communicate correctly, and build the technical backbone that our AI tooling depends on. Job Responsibilities • Own the data infrastructure underpinning AI deployments pipelines, storage, and data serving • Integrate AI solutions into the existing business ecosystem: CRMs, ERPs, SaaS tools, and internal systems • Build and maintain APIs, webhooks, and middleware that allow AI agents to interact with business systems • Take Strategist-built prototypes to production-grade hardening, scaling, and ensuring reliability • Set up monitoring, logging, and alerting across deployed pipelines and agent infrastructure • Manage data models, schemas, and storage supporting current and future AI deployments • Troubleshoot integration failures, data inconsistencies, and production issues Key Skills • Python & SQL (production-grade pipeline development) • REST APIs, webhooks, OAuth, event-driven architecture • Orchestration tools: Airflow, Prefect, or Dagster • Cloud platforms: AWS, GCP, or Azure • Docker & Kubernetes Microsoft 365 & Microsoft Copilot Desirable Skills • Vector databases and embedding pipelines • Real-time streaming (Kafka, Flink) • RPA tooling (UiPath, Power Automate) dbt for data transformation • Claude Code, Claude Cowork, or Claude Skills • Experience with vector databases, real-time streaming (Kafka, Flink), or RPA tooling (UiPath, Power Automate). Experience • 3 5 years in software or data engineering with strong exposure to system integrations, data pipelines, and production infrastructure. • Strong Python and SQL skills; experienced building robust, production-grade data pipelines from scratch. • Deep familiarity with integration patterns: REST APIs, webhooks, OAuth, and event-driven architectures. • Experience with orchestration tools (Airflow, Prefect, or Dagster) and transformation frameworks (dbt or similar). • Comfortable across cloud platforms (AWS, GCP, or Azure) and with containerisation (Docker, Kubernetes). • Experience connecting disparate business systems SaaS platforms, internal databases, and third-party APIs and making them work reliably. • Strong debugging instincts and a high bar for reliability and data integrity. • Comfortable with Microsoft 365 and Microsoft Copilot. Familiarity with AI productivity tools including Claude Code, Claude Cowork, and Claude Skills is a plus. Qualifications • Bachelor's degree in Computer Science, Engineering, or equivalent practical experience Python & SQL (production-grade pipeline development) • REST APIs, webhooks, OAuth, event-driven architecture • Orchestration tools: Airflow, Prefect, or Dagster • Cloud platforms: AWS, GCP, or Azure • Docker & Kubernetes Microsoft 365 & Microsoft Copilot • Vector databases and embedding pipelines • Real-time streaming (Kafka, Flink) • RPA tooling (UiPath, Power Automate) dbt for data transformation • Claude Code, Claude Cowork, or Claude Skills • Experience with vector databases, real-time streaming (Kafka, Flink), or RPA tooling (UiPath, Power Automate). Python & SQL (production-grade pipeline development) • REST APIs, webhooks, OAuth, event-driven architecture • Orchestration tools: Airflow, Prefect, or Dagster • Cloud platforms: AWS, GCP, or Azure • Docker & Kubernetes Microsoft 365 & Microsoft Copilot • Vector databases and embedding pipelines • Real-time streaming (Kafka, Flink) • RPA tooling (UiPath, Power Automate) dbt for data transformation • Claude Code, Claude Cowork, or Claude Skills • Experience with vector databases, real-time streaming (Kafka, Flink), or RPA tooling (UiPath, Power Automate). London bristol bristol london fintech finance bank artificial intelligence artificial intelligence
