Data Transformation Consultant - Manchester (Hybrid) - SC Cleared - Up to £80,000 + Bonus Data Strategy - Microsoft Fabric - Azure / AWS - Databricks - Cloud Transformation I'm partnered with a leading digital and technology consultancy helping organisations unlock greater value from their data through large-scale cloud, analytics and transformation programmes across government, public sector and enterprise environments. As part of continued growth within their Data & Analytics practice, they're looking to hire an experienced Senior Analytics Consultant who enjoys operating at the intersection of business strategy, data and technology. This is a highly consultative role where you'll work directly with senior client stakeholders to shape data strategies, define transformation roadmaps and lead the design of modern analytics platforms. You'll help organisations modernise legacy estates, unlock greater value from their data and deliver meaningful business outcomes through cloud technologies and data-driven decision making. You'll be joining a collaborative consulting environment where you'll influence large-scale transformation programmes, lead discovery workshops, contribute to client growth opportunities and work alongside Architects, Data Engineers, Product Leaders and Analysts, giving you genuine influence over the direction of client programmes rather than simply delivering pre-defined requirements. What You'll Be Doing Leading client-facing discovery engagements and architecture workstreams. Running workshops to gather requirements and align business and technical teams. Designing modern cloud-based analytics, data warehouse and lakehouse solutions. Advising senior stakeholders on data strategy, governance and operating models. Supporting large-scale cloud migration and platform modernisation initiatives. Defining delivery roadmaps and translating business objectives into technical solutions. Working closely with Data Engineers, Analysts and Product teams to deliver measurable outcomes. Ensuring best practice across data quality, governance, metadata and platform design. Supporting pre-sales activities, solution shaping and proposal development. Acting as a trusted advisor to clients throughout the transformation lifecycle. What We're Looking For Experience in Solution Architecture, Data Architecture or leading data and analytics programmes. Strong stakeholder management and workshop facilitation capabilities. Experience delivering cloud-based data transformation projects within complex organisations. Strong understanding of modern data platforms, data warehousing and lakehouse architectures. Experience with Azure and/or AWS cloud ecosystems. Knowledge of tools such as Databricks, Microsoft Fabric, Snowflake, Synapse or similar. Strong SQL and data analysis capabilities. Understanding of data governance, metadata management and data quality frameworks. Experience working within consulting environments or managing multiple client workstreams. Ability to communicate effectively with both technical teams and executive stakeholders. Why Consider This Opportunity? Join a rapidly growing and highly respected consultancy. Work on major transformation programmes across government and enterprise clients. Influence strategy rather than simply deliver against requirements. Clear progression pathway into Principal Consultant and Practice Leadership roles. Access to industry-leading training, certifications and mentoring. Exposure to the latest technologies across Cloud, Data, Analytics and AI. Performance bonus, private healthcare and strong pension package. Work directly with senior decision-makers to shape enterprise-wide data strategies. Opportunity to influence programmes from discovery and strategy through to delivery. Please note: Active SC Clearance (or eligibility to obtain it) is required for this role. Apply now!
Oct 16, 2026
Full time
Data Transformation Consultant - Manchester (Hybrid) - SC Cleared - Up to £80,000 + Bonus Data Strategy - Microsoft Fabric - Azure / AWS - Databricks - Cloud Transformation I'm partnered with a leading digital and technology consultancy helping organisations unlock greater value from their data through large-scale cloud, analytics and transformation programmes across government, public sector and enterprise environments. As part of continued growth within their Data & Analytics practice, they're looking to hire an experienced Senior Analytics Consultant who enjoys operating at the intersection of business strategy, data and technology. This is a highly consultative role where you'll work directly with senior client stakeholders to shape data strategies, define transformation roadmaps and lead the design of modern analytics platforms. You'll help organisations modernise legacy estates, unlock greater value from their data and deliver meaningful business outcomes through cloud technologies and data-driven decision making. You'll be joining a collaborative consulting environment where you'll influence large-scale transformation programmes, lead discovery workshops, contribute to client growth opportunities and work alongside Architects, Data Engineers, Product Leaders and Analysts, giving you genuine influence over the direction of client programmes rather than simply delivering pre-defined requirements. What You'll Be Doing Leading client-facing discovery engagements and architecture workstreams. Running workshops to gather requirements and align business and technical teams. Designing modern cloud-based analytics, data warehouse and lakehouse solutions. Advising senior stakeholders on data strategy, governance and operating models. Supporting large-scale cloud migration and platform modernisation initiatives. Defining delivery roadmaps and translating business objectives into technical solutions. Working closely with Data Engineers, Analysts and Product teams to deliver measurable outcomes. Ensuring best practice across data quality, governance, metadata and platform design. Supporting pre-sales activities, solution shaping and proposal development. Acting as a trusted advisor to clients throughout the transformation lifecycle. What We're Looking For Experience in Solution Architecture, Data Architecture or leading data and analytics programmes. Strong stakeholder management and workshop facilitation capabilities. Experience delivering cloud-based data transformation projects within complex organisations. Strong understanding of modern data platforms, data warehousing and lakehouse architectures. Experience with Azure and/or AWS cloud ecosystems. Knowledge of tools such as Databricks, Microsoft Fabric, Snowflake, Synapse or similar. Strong SQL and data analysis capabilities. Understanding of data governance, metadata management and data quality frameworks. Experience working within consulting environments or managing multiple client workstreams. Ability to communicate effectively with both technical teams and executive stakeholders. Why Consider This Opportunity? Join a rapidly growing and highly respected consultancy. Work on major transformation programmes across government and enterprise clients. Influence strategy rather than simply deliver against requirements. Clear progression pathway into Principal Consultant and Practice Leadership roles. Access to industry-leading training, certifications and mentoring. Exposure to the latest technologies across Cloud, Data, Analytics and AI. Performance bonus, private healthcare and strong pension package. Work directly with senior decision-makers to shape enterprise-wide data strategies. Opportunity to influence programmes from discovery and strategy through to delivery. Please note: Active SC Clearance (or eligibility to obtain it) is required for this role. Apply now!
Senior Data Engineer - Python, Databricks & Counterparty Credit Risk Location: London - Hybrid We are recruiting for an experienced Senior Data Engineer to join a leading global banking organisation, working across a highly technical data environment supporting Counterparty Credit Risk (CCR), Credit Risk and wider risk data . This is a hands-on engineering position requiring strong expertise across Python, PySpark, SQL and Databricks , alongside experience designing, building and optimising scalable data pipelines and Lakehouse solutions. Candidates should ideally have previously worked with Counterparty Credit Risk or Credit Risk data , including areas such as counterparty/exposure data, risk analytics, regulatory risk or associated banking risk datasets. Key Responsibilities Design, develop and maintain scalable data pipelines using Python, PySpark and Databricks Build and optimise ETL/ELT workflows using Spark and Delta Lake Engineer and transform data supporting Counterparty Credit Risk, Credit Risk and wider risk functions Work with datasets relating to areas such as counterparties, credit exposures, limits, collateral and risk analytics Design robust data models and architectures across Lakehouse / Medallion environments Develop and manage Databricks notebooks, jobs and workflows Optimise large-scale distributed data processing and troubleshoot Spark performance Implement strong data quality, reconciliation, governance and monitoring controls Build reliable logging and alerting across production data pipelines Integrate data platforms with Power BI dashboards and wider applications Support CI/CD and engineering best practices across development, testing and production environments Work closely with Risk, Technology, Analytics and other senior stakeholders Required Experience 10+ years' experience across Data Engineering or closely related data disciplines Strong hands-on Python development experience Strong PySpark / Apache Spark engineering experience Extensive hands-on experience with Databricks , including notebooks, jobs/workflows and Delta Lake Advanced SQL and relational database experience Strong track record designing and building scalable ETL/ELT data pipelines Experience with Delta Lake, Lakehouse and/or Medallion architectures Experience handling banking risk data , ideally within Counterparty Credit Risk (CCR), Credit Risk, counterparty exposure or closely related risk domains Strong understanding of data modelling, data quality and production data engineering Cloud experience across Azure, AWS and/or GCP Experience with modern data platforms/warehouses such as Snowflake, BigQuery or Redshift Experience integrating data platforms with Power BI Experience with orchestration such as Databricks Workflows or Airflow Highly Desirable Direct experience engineering data for Counterparty Credit Risk , including exposure/counterparty datasets Knowledge of areas such as PFE, EPE, EAD, CVA/XVA, SA-CCR, collateral, netting or counterparty limits Previous experience within an investment bank, global bank or capital-markets environment Databricks Data Engineer certification Kafka / Structured Streaming experience Delta Lake CDC, Time Travel and optimisation CI/CD, Git and DevOps experience Docker / Kubernetes experience Experience exposing data through APIs or supporting React-based front-end applications Experience supporting analytics or ML workloads within Databricks We are particularly interested in genuinely hands-on Senior Data Engineers who can demonstrate the Databricks and Python solutions they have personally designed, built, optimised and supported in production. If you have strong Databricks, Python and PySpark engineering experience alongside exposure to Counterparty Credit Risk, Credit Risk or banking risk data , please apply for further information.
Oct 14, 2026
Full time
Senior Data Engineer - Python, Databricks & Counterparty Credit Risk Location: London - Hybrid We are recruiting for an experienced Senior Data Engineer to join a leading global banking organisation, working across a highly technical data environment supporting Counterparty Credit Risk (CCR), Credit Risk and wider risk data . This is a hands-on engineering position requiring strong expertise across Python, PySpark, SQL and Databricks , alongside experience designing, building and optimising scalable data pipelines and Lakehouse solutions. Candidates should ideally have previously worked with Counterparty Credit Risk or Credit Risk data , including areas such as counterparty/exposure data, risk analytics, regulatory risk or associated banking risk datasets. Key Responsibilities Design, develop and maintain scalable data pipelines using Python, PySpark and Databricks Build and optimise ETL/ELT workflows using Spark and Delta Lake Engineer and transform data supporting Counterparty Credit Risk, Credit Risk and wider risk functions Work with datasets relating to areas such as counterparties, credit exposures, limits, collateral and risk analytics Design robust data models and architectures across Lakehouse / Medallion environments Develop and manage Databricks notebooks, jobs and workflows Optimise large-scale distributed data processing and troubleshoot Spark performance Implement strong data quality, reconciliation, governance and monitoring controls Build reliable logging and alerting across production data pipelines Integrate data platforms with Power BI dashboards and wider applications Support CI/CD and engineering best practices across development, testing and production environments Work closely with Risk, Technology, Analytics and other senior stakeholders Required Experience 10+ years' experience across Data Engineering or closely related data disciplines Strong hands-on Python development experience Strong PySpark / Apache Spark engineering experience Extensive hands-on experience with Databricks , including notebooks, jobs/workflows and Delta Lake Advanced SQL and relational database experience Strong track record designing and building scalable ETL/ELT data pipelines Experience with Delta Lake, Lakehouse and/or Medallion architectures Experience handling banking risk data , ideally within Counterparty Credit Risk (CCR), Credit Risk, counterparty exposure or closely related risk domains Strong understanding of data modelling, data quality and production data engineering Cloud experience across Azure, AWS and/or GCP Experience with modern data platforms/warehouses such as Snowflake, BigQuery or Redshift Experience integrating data platforms with Power BI Experience with orchestration such as Databricks Workflows or Airflow Highly Desirable Direct experience engineering data for Counterparty Credit Risk , including exposure/counterparty datasets Knowledge of areas such as PFE, EPE, EAD, CVA/XVA, SA-CCR, collateral, netting or counterparty limits Previous experience within an investment bank, global bank or capital-markets environment Databricks Data Engineer certification Kafka / Structured Streaming experience Delta Lake CDC, Time Travel and optimisation CI/CD, Git and DevOps experience Docker / Kubernetes experience Experience exposing data through APIs or supporting React-based front-end applications Experience supporting analytics or ML workloads within Databricks We are particularly interested in genuinely hands-on Senior Data Engineers who can demonstrate the Databricks and Python solutions they have personally designed, built, optimised and supported in production. If you have strong Databricks, Python and PySpark engineering experience alongside exposure to Counterparty Credit Risk, Credit Risk or banking risk data , please apply for further information.
Lead Data Architect / Modeller - Fintech £700-750/day outside IR35 London-based Short-term initial engagement - 3-months Working with a Fintech who are looking for a Lead Data Architect / Modeller to ensure the platform's data is structured correctly from the outset and can scale with business demand - this will be for someone to own the long-term data architecture and modelling between the engineering team who are focused on building and the analytics team who are consuming data. Lead Data Architect / Modeller, responsibilities: Define business-led conceptual data model across operational processes Design / shape the operational data architecture Ensure enterprise data models are scalable, consistent and reusable Help define the semantic layer Work closely with business stakeholders to understand how processes operate Challenge requirements Review existing direction and identify architectural or modelling issues Lead Data Architect / Modeller, key skills: Strong Data Architecture and Data Modelling background Fintech background Excellent conceptual and logical data modelling experience Experience designing data structures supporting operational workflows / case management Strong understanding of business requirements and the ability to translate them into scalable data models Modern event-driven architecture experience Strong stakeholder engagement and the confidence to challenge the business and engineering teams where appropriate Able to operate at both business/conceptual level and technical architecture level Lead Data Architect / Modeller, FinTech, Snowflake, outside IR35 Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. If you need any help or adjustments during the recruitment process for any reason , please let us know when you apply or talk to the recruiters directly so we can support you.
Oct 08, 2026
Full time
Lead Data Architect / Modeller - Fintech £700-750/day outside IR35 London-based Short-term initial engagement - 3-months Working with a Fintech who are looking for a Lead Data Architect / Modeller to ensure the platform's data is structured correctly from the outset and can scale with business demand - this will be for someone to own the long-term data architecture and modelling between the engineering team who are focused on building and the analytics team who are consuming data. Lead Data Architect / Modeller, responsibilities: Define business-led conceptual data model across operational processes Design / shape the operational data architecture Ensure enterprise data models are scalable, consistent and reusable Help define the semantic layer Work closely with business stakeholders to understand how processes operate Challenge requirements Review existing direction and identify architectural or modelling issues Lead Data Architect / Modeller, key skills: Strong Data Architecture and Data Modelling background Fintech background Excellent conceptual and logical data modelling experience Experience designing data structures supporting operational workflows / case management Strong understanding of business requirements and the ability to translate them into scalable data models Modern event-driven architecture experience Strong stakeholder engagement and the confidence to challenge the business and engineering teams where appropriate Able to operate at both business/conceptual level and technical architecture level Lead Data Architect / Modeller, FinTech, Snowflake, outside IR35 Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. If you need any help or adjustments during the recruitment process for any reason , please let us know when you apply or talk to the recruiters directly so we can support you.
Data Engineer London/ Edinburgh 6 Month Contract Via Umbrella Our UK leading banking client are looking for a Data Analyst to join their team on an initial 6-month contract. Core Technical Requirements Strong experience with Snowflake for data warehousing, including writing efficient SQL and managing schemas. Proficiency in Airflow for orchestration and workflow management. Hands-on experience with AWS services , particularly S3 for storage and Lambda for serverless processing. Solid understanding of data modelling , ETL/ELT processes, and performance optimization. Programming & Engineering Skills Proficiency in Python for data engineering tasks and automation. Ability to design and implement scalable, maintainable data pipelines . Experience with version control systems (e.g., Git) and collaborative development workflows. Leadership & Mentorship Ability to lead technical initiatives within the team and drive best practices. Experience in mentoring junior engineers , providing guidance on coding standards, design patterns, and career development. Comfortable with code reviews and fostering a culture of continuous improvement. Best Practices & Mindset Strong grasp of data quality principles , including validation and monitoring. Ability to read, understand, and refactor existing code effectively. Familiarity with CI/CD practices for data pipeline deployment. Comfortable working in cloud-native environments and following security/compliance standards. Nice-to-Have Exposure to streaming data architectures and event-driven systems. Knowledge of Snowflake performance tuning and cost optimization. If you find this opportunity intriguing and aligning with your skill set, we welcome the submission of your CV without delay. Guidant, Carbon60, Lorien & SRG - The Vertage Group Portfolio are acting as an Employment Business in relation to this vacancy.
Oct 08, 2026
Full time
Data Engineer London/ Edinburgh 6 Month Contract Via Umbrella Our UK leading banking client are looking for a Data Analyst to join their team on an initial 6-month contract. Core Technical Requirements Strong experience with Snowflake for data warehousing, including writing efficient SQL and managing schemas. Proficiency in Airflow for orchestration and workflow management. Hands-on experience with AWS services , particularly S3 for storage and Lambda for serverless processing. Solid understanding of data modelling , ETL/ELT processes, and performance optimization. Programming & Engineering Skills Proficiency in Python for data engineering tasks and automation. Ability to design and implement scalable, maintainable data pipelines . Experience with version control systems (e.g., Git) and collaborative development workflows. Leadership & Mentorship Ability to lead technical initiatives within the team and drive best practices. Experience in mentoring junior engineers , providing guidance on coding standards, design patterns, and career development. Comfortable with code reviews and fostering a culture of continuous improvement. Best Practices & Mindset Strong grasp of data quality principles , including validation and monitoring. Ability to read, understand, and refactor existing code effectively. Familiarity with CI/CD practices for data pipeline deployment. Comfortable working in cloud-native environments and following security/compliance standards. Nice-to-Have Exposure to streaming data architectures and event-driven systems. Knowledge of Snowflake performance tuning and cost optimization. If you find this opportunity intriguing and aligning with your skill set, we welcome the submission of your CV without delay. Guidant, Carbon60, Lorien & SRG - The Vertage Group Portfolio are acting as an Employment Business in relation to this vacancy.
We're looking for an experienced Data Engineer to join our client's growing team, with a particular focus on Snowflake, data quality and data pipeline development. This is a permanent opportunity, paying up to £75,000 with hybrid working, and bonus of up to 15%. You will have the chance to make a lasting contribution to the data engineering capability as the client goes through a pivotal growth period. Please note, this is a hybrid role where you will need to be in the office at least two days a week. The Role Our data environment is currently undergoing an exciting period of change. We are consolidating a number of existing Azure Functions and data processes into a more streamlined, scalable Snowflake-based data platform. As a Data Engineer, you'll play a key role in this transition, helping to migrate existing pipelines and processes into Snowflake while ensuring the quality, reliability and usability of our data. You'll also work closely with our Data Scientists, supporting feature engineering and helping to make sure the data they need is accurate, accessible and fit for purpose. Key Responsibilities Support the migration and consolidation of existing data pipelines and processes into Snowflake. Develop and maintain robust, scalable data pipelines within the Snowflake environment. Work with existing Azure Functions and help identify opportunities to consolidate and improve the current architecture. Implement and improve data quality and validation processes using dbt. Develop data models and transformation processes to support analytical and data science requirements. Work closely with Data Scientists to support feature engineering and the development of data-driven solutions. Troubleshoot data pipeline and quality issues and ensure reliable data delivery. Contribute to the ongoing development of our data engineering practices, standards and architecture. About You We're looking for someone with a strong background in data engineering who enjoys working in an environment where there is an opportunity to shape and improve the way data is managed. You'll ideally have experience with: Snowflake and cloud-based data platforms. Building and maintaining data pipelines. dbt and data quality/testing frameworks. Azure, particularly Azure Functions or similar cloud-based services. SQL and data transformation. Data modelling and engineering for analytical use cases. Working collaboratively with Data Scientists, Analysts and wider technology teams. Experience supporting data migration or platform consolidation projects would be highly advantageous. On Offer Salary - up to £75,000 Hybrid working - minimum of 2 days a week in Windsor Up to 10% employer pension contribution PMI Robert Half Ltd acts as an employment business for temporary positions and an employment agency for permanent positions. Robert Half is committed to diversity, equity and inclusion. Suitable candidates with equivalent qualifications and more or less experience can apply. Rates of pay and salary ranges are dependent upon your experience, qualifications and training. If you wish to apply, please read our Privacy Notice describing how we may process, disclose and store your personal data:
Oct 08, 2026
Full time
We're looking for an experienced Data Engineer to join our client's growing team, with a particular focus on Snowflake, data quality and data pipeline development. This is a permanent opportunity, paying up to £75,000 with hybrid working, and bonus of up to 15%. You will have the chance to make a lasting contribution to the data engineering capability as the client goes through a pivotal growth period. Please note, this is a hybrid role where you will need to be in the office at least two days a week. The Role Our data environment is currently undergoing an exciting period of change. We are consolidating a number of existing Azure Functions and data processes into a more streamlined, scalable Snowflake-based data platform. As a Data Engineer, you'll play a key role in this transition, helping to migrate existing pipelines and processes into Snowflake while ensuring the quality, reliability and usability of our data. You'll also work closely with our Data Scientists, supporting feature engineering and helping to make sure the data they need is accurate, accessible and fit for purpose. Key Responsibilities Support the migration and consolidation of existing data pipelines and processes into Snowflake. Develop and maintain robust, scalable data pipelines within the Snowflake environment. Work with existing Azure Functions and help identify opportunities to consolidate and improve the current architecture. Implement and improve data quality and validation processes using dbt. Develop data models and transformation processes to support analytical and data science requirements. Work closely with Data Scientists to support feature engineering and the development of data-driven solutions. Troubleshoot data pipeline and quality issues and ensure reliable data delivery. Contribute to the ongoing development of our data engineering practices, standards and architecture. About You We're looking for someone with a strong background in data engineering who enjoys working in an environment where there is an opportunity to shape and improve the way data is managed. You'll ideally have experience with: Snowflake and cloud-based data platforms. Building and maintaining data pipelines. dbt and data quality/testing frameworks. Azure, particularly Azure Functions or similar cloud-based services. SQL and data transformation. Data modelling and engineering for analytical use cases. Working collaboratively with Data Scientists, Analysts and wider technology teams. Experience supporting data migration or platform consolidation projects would be highly advantageous. On Offer Salary - up to £75,000 Hybrid working - minimum of 2 days a week in Windsor Up to 10% employer pension contribution PMI Robert Half Ltd acts as an employment business for temporary positions and an employment agency for permanent positions. Robert Half is committed to diversity, equity and inclusion. Suitable candidates with equivalent qualifications and more or less experience can apply. Rates of pay and salary ranges are dependent upon your experience, qualifications and training. If you wish to apply, please read our Privacy Notice describing how we may process, disclose and store your personal data:
Data Engineering Manager London (3 Days a week) £90,000 + 20%-40% Bonus This is an exciting opportunity to lead a critical Data Engineering function during a major cloud transformation programme. You'll combine technical leadership with people management, helping shape the future of a modern enterprise data platform. The Company They are a large, data-driven aviation organisation investing heavily in modern technology and cloud infrastructure. Data plays a central role in business decision-making, and significant investment is being made to modernise platforms, processes, and engineering capabilities. This role will have meaningful influence on both technology direction and team development. The Role Lead the design, development, and deployment of scalable data pipelines Manage and develop a team of Data Engineers Drive cloud adoption and modern engineering practices Oversee data operations, reliability, and platform performance Work closely with Analytics, Architecture, and Technology teams Establish engineering standards, governance, and delivery processes Prioritise workloads and support successful project delivery Contribute to a major migration from legacy systems to a cloud-native environment Ensure compliance with data governance requirements Your Skills & Experience Strong experience leading Data Engineering functions or teams Advanced SQL expertise and database optimisation knowledge Hands-on experience with AWS technologies including S3, Glue, Lambda, and EC2 Strong understanding of data warehousing and data modelling principles Experience with Snowflake and modern cloud data platforms Python development skills Experience with workflow orchestration tools such as Airflow Knowledge of streaming technologies and real-time data processing Experience implementing CI/CD and engineering best practices What They Offer Competitive salary and comprehensive benefits package Hybrid working arrangement in London Opportunity to lead a strategic cloud transformation Significant influence across data and technology initiatives Leadership and career progression opportunities Collaborative and innovation-focused environment How to Apply Apply now to discuss this Data Engineering Manager opportunity in confidence.
Oct 07, 2026
Full time
Data Engineering Manager London (3 Days a week) £90,000 + 20%-40% Bonus This is an exciting opportunity to lead a critical Data Engineering function during a major cloud transformation programme. You'll combine technical leadership with people management, helping shape the future of a modern enterprise data platform. The Company They are a large, data-driven aviation organisation investing heavily in modern technology and cloud infrastructure. Data plays a central role in business decision-making, and significant investment is being made to modernise platforms, processes, and engineering capabilities. This role will have meaningful influence on both technology direction and team development. The Role Lead the design, development, and deployment of scalable data pipelines Manage and develop a team of Data Engineers Drive cloud adoption and modern engineering practices Oversee data operations, reliability, and platform performance Work closely with Analytics, Architecture, and Technology teams Establish engineering standards, governance, and delivery processes Prioritise workloads and support successful project delivery Contribute to a major migration from legacy systems to a cloud-native environment Ensure compliance with data governance requirements Your Skills & Experience Strong experience leading Data Engineering functions or teams Advanced SQL expertise and database optimisation knowledge Hands-on experience with AWS technologies including S3, Glue, Lambda, and EC2 Strong understanding of data warehousing and data modelling principles Experience with Snowflake and modern cloud data platforms Python development skills Experience with workflow orchestration tools such as Airflow Knowledge of streaming technologies and real-time data processing Experience implementing CI/CD and engineering best practices What They Offer Competitive salary and comprehensive benefits package Hybrid working arrangement in London Opportunity to lead a strategic cloud transformation Significant influence across data and technology initiatives Leadership and career progression opportunities Collaborative and innovation-focused environment How to Apply Apply now to discuss this Data Engineering Manager opportunity in confidence.
Role Overview We are seeking an experienced Security Data Engineer to design and deliver scalable security data platforms, pipelines and integrations. The role will enable security analytics, machine learning and Security Knowledge Graph use cases by providing reliable, governed and timely security data across enterprise environments. Key Responsibilities Build scalable batch and streaming data pipelines for security telemetry and enterprise data. Develop ETL/ELT processes, data models, APIs and integration services . Integrate platforms such as ServiceNow, Dynatrace and security tooling into enterprise data ecosystems. Build and maintain Security Knowledge Graph data pipelines and graph models. Prepare trusted datasets and features for analytics and machine learning use cases. Implement data quality, lineage, governance, access controls and observability. Optimise data architectures for performance, resilience, scalability and cost. Work closely with security analysts, data scientists, platform teams and architects. Ensure security data is reliable, timely, governed and suitable for downstream analytics. Required Skills Mandatory 8+ years of relevant professional experience. Strong hands-on data engineering experience. Strong Python and SQL skills. Experience with modern data platforms. Strong ETL/ELT experience. Experience developing and integrating APIs . Experience with event streaming . Cloud data engineering experience. Experience designing scalable data pipelines and architectures. Understanding of ML engineering and feature/data pipeline requirements . Experience with graph databases . Understanding of Security Knowledge Graph concepts. Experience integrating ServiceNow, Dynatrace or comparable ITSM/observability platforms. Understanding of security telemetry and threat intelligence data . Data governance experience. Experience with data quality, lineage and observability. Experience with access control and secure data management. Strong performance, resilience, scalability and cost optimisation experience. Strong stakeholder management and communication skills. Desirable Professional cloud data engineering certification. Databricks certification. Snowflake certification. Equivalent modern data platform certification. Security or cloud security certification. Experience supporting enterprise security analytics platforms. Experience working across UK and offshore multidisciplinary teams.
Oct 07, 2026
Full time
Role Overview We are seeking an experienced Security Data Engineer to design and deliver scalable security data platforms, pipelines and integrations. The role will enable security analytics, machine learning and Security Knowledge Graph use cases by providing reliable, governed and timely security data across enterprise environments. Key Responsibilities Build scalable batch and streaming data pipelines for security telemetry and enterprise data. Develop ETL/ELT processes, data models, APIs and integration services . Integrate platforms such as ServiceNow, Dynatrace and security tooling into enterprise data ecosystems. Build and maintain Security Knowledge Graph data pipelines and graph models. Prepare trusted datasets and features for analytics and machine learning use cases. Implement data quality, lineage, governance, access controls and observability. Optimise data architectures for performance, resilience, scalability and cost. Work closely with security analysts, data scientists, platform teams and architects. Ensure security data is reliable, timely, governed and suitable for downstream analytics. Required Skills Mandatory 8+ years of relevant professional experience. Strong hands-on data engineering experience. Strong Python and SQL skills. Experience with modern data platforms. Strong ETL/ELT experience. Experience developing and integrating APIs . Experience with event streaming . Cloud data engineering experience. Experience designing scalable data pipelines and architectures. Understanding of ML engineering and feature/data pipeline requirements . Experience with graph databases . Understanding of Security Knowledge Graph concepts. Experience integrating ServiceNow, Dynatrace or comparable ITSM/observability platforms. Understanding of security telemetry and threat intelligence data . Data governance experience. Experience with data quality, lineage and observability. Experience with access control and secure data management. Strong performance, resilience, scalability and cost optimisation experience. Strong stakeholder management and communication skills. Desirable Professional cloud data engineering certification. Databricks certification. Snowflake certification. Equivalent modern data platform certification. Security or cloud security certification. Experience supporting enterprise security analytics platforms. Experience working across UK and offshore multidisciplinary teams.
Engineering Director UK Remote Up to £135,000 + 15% Bonus This is an excellent opportunity to join a newly established Data Hub function and play a leading role in shaping the future of enterprise data and AI. You'll combine strategic leadership with hands-on technical oversight, helping build a scalable data platform that will support business-wide decision making and innovation. The Company They are investing heavily in their data capabilities, bringing previously fragmented data environments together into a single, governed platform. With strong backing from senior leadership and a clear roadmap in place, the Data Hub is a key strategic initiative designed to enable analytics, operational efficiency, and future AI use cases. The Role You will lead the Data Hub engineering team, owning delivery, technical direction, and team development.Responsibilities include: Leading and mentoring data engineering teams Driving delivery of a modern enterprise data platform Owning architecture and technical decision-making Consolidating legacy systems into a scalable, governed environment Partnering with business and product stakeholders Managing distributed engineering teams and delivery processes Establishing engineering best practices across Agile, DevOps, quality, and reliability Contributing to the wider data and AI strategy Your Skills & Experience Strong people leadership within data or platform engineering Deep Snowflake and DBT expertise Experience delivering large-scale data platform programmes Strong SQL and Python skills Data architecture and governance experience Agile delivery leadership Excellent stakeholder management and communication skills Experience leading offshore or distributed teams Hands-on technical credibility Desirable: Databricks AI/ML platforms and workflows Agent-based AI solutions Backend or full-stack engineering exposure What They Offer Up to £135,000 base salary 15% annual bonus Fully remote working in the UK Opportunity to build a newly formed Data Hub function Significant influence over platform strategy and architecture Exposure to modern data and AI technologies Clear growth and leadership opportunities as the team expands
Oct 06, 2026
Full time
Engineering Director UK Remote Up to £135,000 + 15% Bonus This is an excellent opportunity to join a newly established Data Hub function and play a leading role in shaping the future of enterprise data and AI. You'll combine strategic leadership with hands-on technical oversight, helping build a scalable data platform that will support business-wide decision making and innovation. The Company They are investing heavily in their data capabilities, bringing previously fragmented data environments together into a single, governed platform. With strong backing from senior leadership and a clear roadmap in place, the Data Hub is a key strategic initiative designed to enable analytics, operational efficiency, and future AI use cases. The Role You will lead the Data Hub engineering team, owning delivery, technical direction, and team development.Responsibilities include: Leading and mentoring data engineering teams Driving delivery of a modern enterprise data platform Owning architecture and technical decision-making Consolidating legacy systems into a scalable, governed environment Partnering with business and product stakeholders Managing distributed engineering teams and delivery processes Establishing engineering best practices across Agile, DevOps, quality, and reliability Contributing to the wider data and AI strategy Your Skills & Experience Strong people leadership within data or platform engineering Deep Snowflake and DBT expertise Experience delivering large-scale data platform programmes Strong SQL and Python skills Data architecture and governance experience Agile delivery leadership Excellent stakeholder management and communication skills Experience leading offshore or distributed teams Hands-on technical credibility Desirable: Databricks AI/ML platforms and workflows Agent-based AI solutions Backend or full-stack engineering exposure What They Offer Up to £135,000 base salary 15% annual bonus Fully remote working in the UK Opportunity to build a newly formed Data Hub function Significant influence over platform strategy and architecture Exposure to modern data and AI technologies Clear growth and leadership opportunities as the team expands
