Senior Data Architect Location: London Paddington Office - 2/3 days per week Salary: (Apply online only)k + Bonus Type: Permanent No Sponsorship Available Overview: Are you an experienced Data Architect looking to shape the future of enterprise data platforms? We're working with a leading global organisation that is investing heavily in cloud, data and AI transformation. As part of this growth, they're looking for a Senior Data Architect to design and deliver enterprise-scale data platforms that power advanced analytics, machine learning and AI solutions. This is an opportunity to work on large-scale transformation programmes, influencing data strategy and architecture while working with some of the latest cloud technologies. The Role: As a Senior Data Architect, you'll be responsible for designing scalable, secure and high-performing data platforms across cloud environments. You'll work closely with technical teams, stakeholders and business leaders to define architecture, establish best practices and deliver modern data solutions. Key Responsibilities: Design and architect enterprise-scale cloud data platforms. Define data architecture strategies, standards and governance. Deliver modern data solutions using Databricks, Snowflake, AWS and GCP. Enable advanced analytics, AI and machine learning capabilities. Work closely with engineering, data and business teams to deliver end-to-end solutions. Provide technical leadership throughout the project lifecycle. Ensure solutions are secure, scalable and aligned with business objectives. Skills & Experience: Enterprise Data Architecture. Databricks. Snowflake. AWS and/or GCP. Designing modern cloud data platforms. Data Lakes, Data Warehouses and Lakehouse architectures. Data governance, security and architecture best practices. AI, Machine Learning or Data Science platforms (highly desirable). Banking, Financial Services or other highly regulated industries (preferred)
Aug 12, 2026
Full time
Senior Data Architect Location: London Paddington Office - 2/3 days per week Salary: (Apply online only)k + Bonus Type: Permanent No Sponsorship Available Overview: Are you an experienced Data Architect looking to shape the future of enterprise data platforms? We're working with a leading global organisation that is investing heavily in cloud, data and AI transformation. As part of this growth, they're looking for a Senior Data Architect to design and deliver enterprise-scale data platforms that power advanced analytics, machine learning and AI solutions. This is an opportunity to work on large-scale transformation programmes, influencing data strategy and architecture while working with some of the latest cloud technologies. The Role: As a Senior Data Architect, you'll be responsible for designing scalable, secure and high-performing data platforms across cloud environments. You'll work closely with technical teams, stakeholders and business leaders to define architecture, establish best practices and deliver modern data solutions. Key Responsibilities: Design and architect enterprise-scale cloud data platforms. Define data architecture strategies, standards and governance. Deliver modern data solutions using Databricks, Snowflake, AWS and GCP. Enable advanced analytics, AI and machine learning capabilities. Work closely with engineering, data and business teams to deliver end-to-end solutions. Provide technical leadership throughout the project lifecycle. Ensure solutions are secure, scalable and aligned with business objectives. Skills & Experience: Enterprise Data Architecture. Databricks. Snowflake. AWS and/or GCP. Designing modern cloud data platforms. Data Lakes, Data Warehouses and Lakehouse architectures. Data governance, security and architecture best practices. AI, Machine Learning or Data Science platforms (highly desirable). Banking, Financial Services or other highly regulated industries (preferred)
We're recruiting a Senior Data Engineer to join a collaborative data platform team developing business-critical data products and services. This is an excellent opportunity for an experienced data professional who enjoys solving complex data challenges, building scalable pipelines and working with modern cloud technologies. The successful candidate will play a key role in the ongoing development, optimisation and support of an established data platform while also mentoring more junior engineers within the team. As a Senior Data Engineer, you'll be responsible for designing, developing and maintaining robust data solutions that support a wide range of business and customer-facing applications. Working closely with engineers, analysts and stakeholders, you'll help drive best practice across data engineering, data quality and platform performance whilst contributing to the evolution of the organisation's data capabilities. Key Responsibilities: Design, develop and maintain ETL and data integration solutions Build and optimise scalable data pipelines using SQL and Python Support and enhance a cloud-based data platform Work with stakeholders to understand data requirements and translate them into effective technical solutions Contribute to data modelling and data architecture initiatives Troubleshoot and resolve complex data-related issues Contribute to engineering best practices, code reviews and continuous improvement activities Support infrastructure and platform automation initiatives Essential Skills & Experience Strong SQL skills, including complex data manipulation and performance optimisation Proven experience designing, developing and supporting ETL/data pipeline solutions Strong Python development experience Commercial experience working with Snowflake Strong understanding of data warehousing and data modelling principles Experience working within Agile delivery environments Excellent communication and stakeholder management skills What's on Offer? 12-month contract with potential for extension Opportunity to work on a modern cloud data platform Collaborative and supportive engineering culture Exposure to modern data engineering and automation practices Hybrid working model with two office days per week Opportunity to influence technical direction and mentor other engineers Please note: Applications are being reviewed as they are received. The role follows a hybrid working model with two office-based days per week (Tuesday and Thursday). Due to planned hiring team availability, interviews are expected to commence from 15th August, with shortlisted candidates kept informed throughout the process.
Aug 12, 2026
Contractor
We're recruiting a Senior Data Engineer to join a collaborative data platform team developing business-critical data products and services. This is an excellent opportunity for an experienced data professional who enjoys solving complex data challenges, building scalable pipelines and working with modern cloud technologies. The successful candidate will play a key role in the ongoing development, optimisation and support of an established data platform while also mentoring more junior engineers within the team. As a Senior Data Engineer, you'll be responsible for designing, developing and maintaining robust data solutions that support a wide range of business and customer-facing applications. Working closely with engineers, analysts and stakeholders, you'll help drive best practice across data engineering, data quality and platform performance whilst contributing to the evolution of the organisation's data capabilities. Key Responsibilities: Design, develop and maintain ETL and data integration solutions Build and optimise scalable data pipelines using SQL and Python Support and enhance a cloud-based data platform Work with stakeholders to understand data requirements and translate them into effective technical solutions Contribute to data modelling and data architecture initiatives Troubleshoot and resolve complex data-related issues Contribute to engineering best practices, code reviews and continuous improvement activities Support infrastructure and platform automation initiatives Essential Skills & Experience Strong SQL skills, including complex data manipulation and performance optimisation Proven experience designing, developing and supporting ETL/data pipeline solutions Strong Python development experience Commercial experience working with Snowflake Strong understanding of data warehousing and data modelling principles Experience working within Agile delivery environments Excellent communication and stakeholder management skills What's on Offer? 12-month contract with potential for extension Opportunity to work on a modern cloud data platform Collaborative and supportive engineering culture Exposure to modern data engineering and automation practices Hybrid working model with two office days per week Opportunity to influence technical direction and mentor other engineers Please note: Applications are being reviewed as they are received. The role follows a hybrid working model with two office-based days per week (Tuesday and Thursday). Due to planned hiring team availability, interviews are expected to commence from 15th August, with shortlisted candidates kept informed throughout the process.
Senior Data Platform Engineer (Snowflake) Locations: Manchester / London (Hybrid) Type: Permanent, Full-Time (37.5 hours) Salary: £90,000 - 120000 + 10% Bonus + Excellent Benefits Overview We're hiring a Senior Data Platform Engineer to play a key role in designing, building, and operating a secure, scalable enterprise data platform with a strong focus on Snowflake . This is a senior-level position where you'll take ownership of platform engineering capabilities- driving automation, governance, and performance optimisation, while enabling data teams to deliver advanced analytics at scale. You'll operate with a high level of autonomy, contributing to platform standards, improving reliability, and ensuring cost-effective, compliant data operations. Key Responsibilities Design, build, and manage Snowflake platform capabilities within an enterprise data environment Automate infrastructure and resource provisioning using Terraform (IaC) Develop and maintain CI/CD pipelines (GitHub Actions / Azure DevOps) Implement monitoring, alerting, and observability frameworks Lead cost optimisation initiatives across Snowflake workloads Define and enforce security best practices (RBAC, data masking, identity integration) Establish governance and compliance frameworks (audit logging, access reviews) Design and implement disaster recovery and business continuity strategies Create reusable modules, templates, and platform standards Produce high-quality documentation, runbooks, and onboarding materials Required Skills & Experience Strong experience in platform or cloud engineering within enterprise environments Deep expertise in Snowflake (warehousing, RBAC, data sharing, performance tuning) Hands-on experience with Terraform and Infrastructure as Code Proven experience building CI/CD pipelines (GitHub Actions or Azure DevOps) Strong scripting skills ( SQL, Python, or Bash ) Solid understanding of Snowflake security features (masking, encryption, identity federation) Experience with monitoring, query profiling, and usage tracking Demonstrated ability to optimise performance and manage costs in large-scale environments Strong communication skills with the ability to work across engineering, data, and compliance teams Proactive approach to documentation and platform standards What's on Offer 25 days holiday (with option to buy/sell) Annual bonus Private healthcare Enhanced pension and life insurance Flexible working arrangements Wellbeing support and lifestyle benefits Access to discounts and additional perks
Aug 12, 2026
Full time
Senior Data Platform Engineer (Snowflake) Locations: Manchester / London (Hybrid) Type: Permanent, Full-Time (37.5 hours) Salary: £90,000 - 120000 + 10% Bonus + Excellent Benefits Overview We're hiring a Senior Data Platform Engineer to play a key role in designing, building, and operating a secure, scalable enterprise data platform with a strong focus on Snowflake . This is a senior-level position where you'll take ownership of platform engineering capabilities- driving automation, governance, and performance optimisation, while enabling data teams to deliver advanced analytics at scale. You'll operate with a high level of autonomy, contributing to platform standards, improving reliability, and ensuring cost-effective, compliant data operations. Key Responsibilities Design, build, and manage Snowflake platform capabilities within an enterprise data environment Automate infrastructure and resource provisioning using Terraform (IaC) Develop and maintain CI/CD pipelines (GitHub Actions / Azure DevOps) Implement monitoring, alerting, and observability frameworks Lead cost optimisation initiatives across Snowflake workloads Define and enforce security best practices (RBAC, data masking, identity integration) Establish governance and compliance frameworks (audit logging, access reviews) Design and implement disaster recovery and business continuity strategies Create reusable modules, templates, and platform standards Produce high-quality documentation, runbooks, and onboarding materials Required Skills & Experience Strong experience in platform or cloud engineering within enterprise environments Deep expertise in Snowflake (warehousing, RBAC, data sharing, performance tuning) Hands-on experience with Terraform and Infrastructure as Code Proven experience building CI/CD pipelines (GitHub Actions or Azure DevOps) Strong scripting skills ( SQL, Python, or Bash ) Solid understanding of Snowflake security features (masking, encryption, identity federation) Experience with monitoring, query profiling, and usage tracking Demonstrated ability to optimise performance and manage costs in large-scale environments Strong communication skills with the ability to work across engineering, data, and compliance teams Proactive approach to documentation and platform standards What's on Offer 25 days holiday (with option to buy/sell) Annual bonus Private healthcare Enhanced pension and life insurance Flexible working arrangements Wellbeing support and lifestyle benefits Access to discounts and additional perks
Job Advertisement: Software Developer / Senior Data Engineer Location: London Contract Length: 12 Months Daily Rate: 700 (Umbrella) Are you ready to be part of a transformative journey? Our client is embarking on a major enterprise-wide data platform transformation, and they need a talented Software Developer / Senior Data Engineer to join their dynamic team! About the Role: You will play a pivotal role in designing and building a state-of-the-art data platform that consolidates data from various business areas into a centralised environment for reporting, analytics, and business consumption. This is your opportunity to contribute significantly as the project progresses towards crucial go-live milestones between March and June 2027! Key Responsibilities: Design & Build: Create and maintain scalable data pipelines using Python and SQL. Optimise Solutions: Develop, optimise, and support enterprise data platform solutions. Data Integration: Build and manage data ingestion, transformation, and integration processes. Infrastructure Management: Create and maintain data models, tables, and supporting infrastructure within Databricks and associated data lake/lakehouse environments. Business Logic Development: Implement business logic, calculations, and data processing solutions using Python. Collaboration: Work closely with business stakeholders and engineering teams to deliver high-quality data assets. Quality Assurance: Ensure data quality, performance, scalability, and governance standards are met. Documentation: Produce technical documentation, architecture artefacts, and data flow specifications. Performance Improvement: Identify and resolve performance bottlenecks across pipelines and processing workflows. Required Skills & Experience: Essential: Strong commercial experience in Python development. Proficient in SQL, including query optimisation and data modelling. Hands-on experience with Databricks. Proven track record in designing and building enterprise data platforms. Experience in developing ETL/ELT pipelines and data integration solutions. Strong understanding of data lakes and lakehouse architectures. Experience working with large-scale datasets and modern data engineering practises. Ability to design and deliver end-to-end data solutions. Strong analytical and problem-solving skills. Excellent stakeholder management and communication skills. Highly Desirable: Experience with Spark / PySpark. Familiarity with Azure Data Lake, Snowflake, or similar platforms. Knowledge of orchestration tools like Airflow or Azure Data Factory. Exposure to financial services environments. Experience supporting large-scale data transformation or migration programmes. What We're Looking For: A senior-level contractor who can hit the ground running. Someone comfortable working autonomously with minimal oversight. Proven experience in delivering long-term contract engagements (12 months or longer). Strong interpersonal skills with a team-oriented approach. Immediate availability or able to start quickly. Key Deliverables: Delivery of scalable, reliable, and performant data pipelines. Development of robust data models and platform structures. Successful implementation of data engineering solutions that support the enterprise data platform. High-quality data assets for reporting, analytics, and business consumption. Contribution to platform go-live milestones between March and June 2027. Join our client and be part of something big! If you are ready to take on a challenging and rewarding role, we want to hear from you! Apply now and help shape the future of data!
Aug 12, 2026
Contractor
Job Advertisement: Software Developer / Senior Data Engineer Location: London Contract Length: 12 Months Daily Rate: 700 (Umbrella) Are you ready to be part of a transformative journey? Our client is embarking on a major enterprise-wide data platform transformation, and they need a talented Software Developer / Senior Data Engineer to join their dynamic team! About the Role: You will play a pivotal role in designing and building a state-of-the-art data platform that consolidates data from various business areas into a centralised environment for reporting, analytics, and business consumption. This is your opportunity to contribute significantly as the project progresses towards crucial go-live milestones between March and June 2027! Key Responsibilities: Design & Build: Create and maintain scalable data pipelines using Python and SQL. Optimise Solutions: Develop, optimise, and support enterprise data platform solutions. Data Integration: Build and manage data ingestion, transformation, and integration processes. Infrastructure Management: Create and maintain data models, tables, and supporting infrastructure within Databricks and associated data lake/lakehouse environments. Business Logic Development: Implement business logic, calculations, and data processing solutions using Python. Collaboration: Work closely with business stakeholders and engineering teams to deliver high-quality data assets. Quality Assurance: Ensure data quality, performance, scalability, and governance standards are met. Documentation: Produce technical documentation, architecture artefacts, and data flow specifications. Performance Improvement: Identify and resolve performance bottlenecks across pipelines and processing workflows. Required Skills & Experience: Essential: Strong commercial experience in Python development. Proficient in SQL, including query optimisation and data modelling. Hands-on experience with Databricks. Proven track record in designing and building enterprise data platforms. Experience in developing ETL/ELT pipelines and data integration solutions. Strong understanding of data lakes and lakehouse architectures. Experience working with large-scale datasets and modern data engineering practises. Ability to design and deliver end-to-end data solutions. Strong analytical and problem-solving skills. Excellent stakeholder management and communication skills. Highly Desirable: Experience with Spark / PySpark. Familiarity with Azure Data Lake, Snowflake, or similar platforms. Knowledge of orchestration tools like Airflow or Azure Data Factory. Exposure to financial services environments. Experience supporting large-scale data transformation or migration programmes. What We're Looking For: A senior-level contractor who can hit the ground running. Someone comfortable working autonomously with minimal oversight. Proven experience in delivering long-term contract engagements (12 months or longer). Strong interpersonal skills with a team-oriented approach. Immediate availability or able to start quickly. Key Deliverables: Delivery of scalable, reliable, and performant data pipelines. Development of robust data models and platform structures. Successful implementation of data engineering solutions that support the enterprise data platform. High-quality data assets for reporting, analytics, and business consumption. Contribution to platform go-live milestones between March and June 2027. Join our client and be part of something big! If you are ready to take on a challenging and rewarding role, we want to hear from you! Apply now and help shape the future of data!
Principal Data Architect DV Cleared Secure Government & Defence Programmes UK Hybrid + client site Active DV clearance non-negotiable Architecture that ends up in service, not in a slide pack. Datatech Analytics is supporting a leading UK consulting and technology organisation building secure, enterprise-scale data platforms across defence, national security and classified government programmes. We're engaging Principal Data Architects who want ownership, not oversight. The role You'll set and lead the technical direction of large-scale data platforms on mission-critical programmes working alongside senior stakeholders, engineers and delivery teams. Not advisory. You stay close to delivery and shape how platforms get built, deployed and used. What you'll do - Own enterprise data architecture across secure programmes - Design end-to-end platforms ingestion through to analytics and operational use - Build secure, scalable architectures for highly classified environments - Turn complex mission requirements into things that ship - Lead engineering teams through implementation - Shape long-term architectural strategy and capability The environment AWS, Azure, GCP Databricks, Snowflake lake, lakehouse and modern warehouse patterns distributed processing DevOps, IaC, secure deployment governance, access control, analytics enablement What we need - Active DV clearance - Track record delivering enterprise-scale data platforms - Defence, national security or secure government background - Deep cloud data architecture and secure design expertise - Credible with senior stakeholders - Led teams through complex delivery Why it matters These programmes sit at the core of the UK's secure data capability. Real constraints, real consequences, no sandbox platforms that support operational decisions when it counts. Confidential conversation: (url removed)
Aug 10, 2026
Full time
Principal Data Architect DV Cleared Secure Government & Defence Programmes UK Hybrid + client site Active DV clearance non-negotiable Architecture that ends up in service, not in a slide pack. Datatech Analytics is supporting a leading UK consulting and technology organisation building secure, enterprise-scale data platforms across defence, national security and classified government programmes. We're engaging Principal Data Architects who want ownership, not oversight. The role You'll set and lead the technical direction of large-scale data platforms on mission-critical programmes working alongside senior stakeholders, engineers and delivery teams. Not advisory. You stay close to delivery and shape how platforms get built, deployed and used. What you'll do - Own enterprise data architecture across secure programmes - Design end-to-end platforms ingestion through to analytics and operational use - Build secure, scalable architectures for highly classified environments - Turn complex mission requirements into things that ship - Lead engineering teams through implementation - Shape long-term architectural strategy and capability The environment AWS, Azure, GCP Databricks, Snowflake lake, lakehouse and modern warehouse patterns distributed processing DevOps, IaC, secure deployment governance, access control, analytics enablement What we need - Active DV clearance - Track record delivering enterprise-scale data platforms - Defence, national security or secure government background - Deep cloud data architecture and secure design expertise - Credible with senior stakeholders - Led teams through complex delivery Why it matters These programmes sit at the core of the UK's secure data capability. Real constraints, real consequences, no sandbox platforms that support operational decisions when it counts. Confidential conversation: (url removed)
Role: Data Engineer Location: Remote but able to attend client sites in Doncaster/London Exp. Start Date: ASAP Contract Duration: 6 Months initially Rate: 500 per day (Umbrella) Job Specification: See attached Experience Oracle experience beneficial Snowflake experience Experience Working with Data teams IDMC, Kafka data sources. Understanding of Data Architecture patterns/Data lakes/kimbol Practical experience of Platforms Cloud platforms structuring Data Relational database Snowflake going through the cloud platform Informatica experience Change data capture experience Working with various data formats is essential Involved in end-to-end data delivery working with the business and requirements and rolling out into production Key Responsibilities Requirements definition and management Defines and manages scoping, requirements definition and prioritisation activities for initiatives of medium size and complexity. Contributes to selecting the requirements approach. Facilitates input from stakeholders, provides constructive challenge and enables effective prioritisation of requirements. Establishes requirements baselines, obtains formal agreement to requirements, and ensures traceability to source. Database design Implements physical database designs to support analytical data requirements for performance and availability. Develops and maintains specialist knowledge of database and data warehouse concepts, design principles, architectures, software and facilities. Assesses proposed changes to object/data structures and evaluates alternative options. Implements data warehouse designs that support demands for business intelligence and data analytics. Data engineering Designs, implements, and maintains complex data engineering solutions to acquire and prepare data. Creates and maintains data pipelines to connect data within and between data stores, applications and organisations. Carries out complex data quality checking and remediation. Data modelling and design Investigates enterprise data requirements where there is some complexity and ambiguity. Plans own data modelling and design activities, selecting appropriate techniques and the correct level of detail for meeting assigned objectives. Provides advice and guidance to others using the data structures and associated components. Change control Assesses, analyses, develops, documents and implements changes based on requests for change. Ensures that operational processes are in place for effective change control. Develops, configures and maintains tools to manage and report on the lifecycle of change requests. Identifies problems and issues and recommend corrective actions. Release and deployment Assesses and analyses release components for input to release scheduling. Maintains and administers tools and methods for software delivery, deployment and configuration. Maintains release processes and procedures. Risk and compliance Ensure that all Governance and Compliance requirements are adhered to and all reporting and reviewing activities required by the Regulatory Bodies are carried out to the standards required. Skills & Experience Essential Works without the need for close supervision, showing excellent time management and organisational skills, delivering to agreed timescales Approaches problems systematically and objectively, analyses facts and evaluates options, draws sound conclusions Builds long lasting relationships with both internal and external customers Collaborates openly and effectively across functions to deliver change Possesses an excellent attention to detail Remains focused and calm under pressure Presents insight to and communicates effectively with a range of stakeholders including senior management Plans well and is able to balance multiple priorities and deal with ambiguity Role models a genuine drive for improvement and encourages others to drive for excellence Demonstrates a high level of creativity, drive, innovation and initiative; a self-starter with a constant desire to learn A good understanding of how to query data from relational databases using SQL Competent in the use of Oracle/ PL/QL/ SQL and Oracle Apex Experience of implementing various data platform architectures, data lakes and data warehouses Ability to translate business goals / pain points into data products that drive value Previous experience working in a business intelligence / analytics environment Desirable Identifies dependencies and risks across multiple projects / delivery streams Experience of implementing and supporting cloud data platforms such as Snowflake Knowledge and experience of working in an Agile way Financial services domain knowledge This vacancy is being advertised by Rullion Ltd acting as an employment business. Since 1978, Rullion has been securing exceptional candidates for a range of clients; from large well-known brands to SMEs and start-ups. As a family-owned business, Rullion's approach is credible and honest, focused on building long-lasting relationships with both clients and candidates. We celebrate and support diversity and are committed to ensuring equal opportunities for both employees and applicants. NDENG-SO Rullion celebrates and supports diversity and is committed to ensuring equal opportunities for both employees and applicants.
Aug 09, 2026
Contractor
Role: Data Engineer Location: Remote but able to attend client sites in Doncaster/London Exp. Start Date: ASAP Contract Duration: 6 Months initially Rate: 500 per day (Umbrella) Job Specification: See attached Experience Oracle experience beneficial Snowflake experience Experience Working with Data teams IDMC, Kafka data sources. Understanding of Data Architecture patterns/Data lakes/kimbol Practical experience of Platforms Cloud platforms structuring Data Relational database Snowflake going through the cloud platform Informatica experience Change data capture experience Working with various data formats is essential Involved in end-to-end data delivery working with the business and requirements and rolling out into production Key Responsibilities Requirements definition and management Defines and manages scoping, requirements definition and prioritisation activities for initiatives of medium size and complexity. Contributes to selecting the requirements approach. Facilitates input from stakeholders, provides constructive challenge and enables effective prioritisation of requirements. Establishes requirements baselines, obtains formal agreement to requirements, and ensures traceability to source. Database design Implements physical database designs to support analytical data requirements for performance and availability. Develops and maintains specialist knowledge of database and data warehouse concepts, design principles, architectures, software and facilities. Assesses proposed changes to object/data structures and evaluates alternative options. Implements data warehouse designs that support demands for business intelligence and data analytics. Data engineering Designs, implements, and maintains complex data engineering solutions to acquire and prepare data. Creates and maintains data pipelines to connect data within and between data stores, applications and organisations. Carries out complex data quality checking and remediation. Data modelling and design Investigates enterprise data requirements where there is some complexity and ambiguity. Plans own data modelling and design activities, selecting appropriate techniques and the correct level of detail for meeting assigned objectives. Provides advice and guidance to others using the data structures and associated components. Change control Assesses, analyses, develops, documents and implements changes based on requests for change. Ensures that operational processes are in place for effective change control. Develops, configures and maintains tools to manage and report on the lifecycle of change requests. Identifies problems and issues and recommend corrective actions. Release and deployment Assesses and analyses release components for input to release scheduling. Maintains and administers tools and methods for software delivery, deployment and configuration. Maintains release processes and procedures. Risk and compliance Ensure that all Governance and Compliance requirements are adhered to and all reporting and reviewing activities required by the Regulatory Bodies are carried out to the standards required. Skills & Experience Essential Works without the need for close supervision, showing excellent time management and organisational skills, delivering to agreed timescales Approaches problems systematically and objectively, analyses facts and evaluates options, draws sound conclusions Builds long lasting relationships with both internal and external customers Collaborates openly and effectively across functions to deliver change Possesses an excellent attention to detail Remains focused and calm under pressure Presents insight to and communicates effectively with a range of stakeholders including senior management Plans well and is able to balance multiple priorities and deal with ambiguity Role models a genuine drive for improvement and encourages others to drive for excellence Demonstrates a high level of creativity, drive, innovation and initiative; a self-starter with a constant desire to learn A good understanding of how to query data from relational databases using SQL Competent in the use of Oracle/ PL/QL/ SQL and Oracle Apex Experience of implementing various data platform architectures, data lakes and data warehouses Ability to translate business goals / pain points into data products that drive value Previous experience working in a business intelligence / analytics environment Desirable Identifies dependencies and risks across multiple projects / delivery streams Experience of implementing and supporting cloud data platforms such as Snowflake Knowledge and experience of working in an Agile way Financial services domain knowledge This vacancy is being advertised by Rullion Ltd acting as an employment business. Since 1978, Rullion has been securing exceptional candidates for a range of clients; from large well-known brands to SMEs and start-ups. As a family-owned business, Rullion's approach is credible and honest, focused on building long-lasting relationships with both clients and candidates. We celebrate and support diversity and are committed to ensuring equal opportunities for both employees and applicants. NDENG-SO Rullion celebrates and supports diversity and is committed to ensuring equal opportunities for both employees and applicants.
Senior Data Manager 90k - 120k per annum + Bonus and Benefits London, Manchester or Glasgow / Hybrid Are you ready to help organisations transform how they use data and AI? Do you thrive on designing cloud-native platforms, solving complex technical challenges and turning emerging AI technologies into real business value? This is your chance to join a market-leading technology consultancy at the forefront of Data & AI transformation. You'll work with major organisations to design and deliver next-generation data platforms that enable AI, advanced analytics and intelligent automation, while developing your own expertise in one of the fastest-growing areas of technology consulting. If you're passionate about cloud architecture, modern data platforms and AI innovation, this is an opportunity you won't want to miss. What you'll be doing You'll play a key role in helping clients design, build and optimise enterprise-scale data platforms that underpin AI-driven transformation. Your responsibilities will include: Designing and delivering secure, scalable and cost-effective cloud-native data platforms across AWS, Azure and GCP to support analytics, AI and operational workloads. Leading cloud transformation initiatives, migrating legacy environments to modern data platforms including Snowflake, Databricks, BigQuery, Synapse, Redshift and other cloud-native technologies. Building Proof of Concepts (PoCs) and Minimum Viable Products (MVPs) for AI and advanced analytics solutions, ensuring they align with business objectives and deliver measurable value. Automating infrastructure, deployments and data pipelines using Infrastructure-as-Code, DevOps, CI/CD and cloud automation tools including Terraform, ARM Templates and CloudFormation. Advising clients on enterprise data strategy, architecture roadmaps and platform design, engaging senior stakeholders and translating complex technical concepts into clear business outcomes. Applying modern architecture principles including Data Mesh, Data Fabric and cloud-native AI architectures while championing best practice, governance and user-centric design. Contributing to business development through proposals, bids and client presentations, while supporting thought leadership, innovation initiatives and continuous improvement across the wider practice. What we're looking for You'll combine strong technical expertise with consulting experience and the ability to influence stakeholders at every level. We're looking for: Significant experience designing enterprise data platforms, cloud architectures and AI-enabled solutions within a consulting or client-facing environment. Around 10+ years' experience working with modern data technologies and architecture, including at least 6 years designing cloud-based data platforms using AWS, Azure or GCP. Hands-on expertise with technologies such as Snowflake, Databricks, Synapse, BigQuery, Redshift or similar enterprise data platforms. Strong knowledge of Infrastructure-as-Code, DevOps, CI/CD, networking, security and identity management for modern cloud environments. Experience designing ETL/ELT solutions, cloud migrations and modern architecture patterns including Data Mesh and Data Fabric. Excellent stakeholder management, consulting and communication skills, with experience shaping strategy, leading architecture discussions and delivering client value. Eligibility for UK Security Clearance (SC). Desirable: Cloud certifications (minimum intermediate level), AI data architecture expertise, Agile delivery experience, cloud cost optimisation knowledge and experience working within the UK Public Sector, Financial Services, Retail, Telecommunications or Transport sectors. If you've held any of these roles or used these technologies/skills, this role could be a great fit: Data Platform Architect, Cloud Data Architect, Enterprise Data Architect, Principal Data Architect, Data Engineering Consultant, Cloud Architect, AI Platform Architect, Data & AI Consultant, Data Solutions Architect, Azure Data Architect, AWS Data Architect, GCP Data Architect, Data Engineering Lead, Solution Architect, Snowflake, Databricks, Synapse, BigQuery, Redshift, AWS, Azure, Google Cloud Platform (GCP), Terraform, CloudFormation, ARM Templates, DevOps, CI/CD, ETL, ELT, Data Mesh, Data Fabric, AI Architecture, Infrastructure-as-Code. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate 1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.
Aug 09, 2026
Full time
Senior Data Manager 90k - 120k per annum + Bonus and Benefits London, Manchester or Glasgow / Hybrid Are you ready to help organisations transform how they use data and AI? Do you thrive on designing cloud-native platforms, solving complex technical challenges and turning emerging AI technologies into real business value? This is your chance to join a market-leading technology consultancy at the forefront of Data & AI transformation. You'll work with major organisations to design and deliver next-generation data platforms that enable AI, advanced analytics and intelligent automation, while developing your own expertise in one of the fastest-growing areas of technology consulting. If you're passionate about cloud architecture, modern data platforms and AI innovation, this is an opportunity you won't want to miss. What you'll be doing You'll play a key role in helping clients design, build and optimise enterprise-scale data platforms that underpin AI-driven transformation. Your responsibilities will include: Designing and delivering secure, scalable and cost-effective cloud-native data platforms across AWS, Azure and GCP to support analytics, AI and operational workloads. Leading cloud transformation initiatives, migrating legacy environments to modern data platforms including Snowflake, Databricks, BigQuery, Synapse, Redshift and other cloud-native technologies. Building Proof of Concepts (PoCs) and Minimum Viable Products (MVPs) for AI and advanced analytics solutions, ensuring they align with business objectives and deliver measurable value. Automating infrastructure, deployments and data pipelines using Infrastructure-as-Code, DevOps, CI/CD and cloud automation tools including Terraform, ARM Templates and CloudFormation. Advising clients on enterprise data strategy, architecture roadmaps and platform design, engaging senior stakeholders and translating complex technical concepts into clear business outcomes. Applying modern architecture principles including Data Mesh, Data Fabric and cloud-native AI architectures while championing best practice, governance and user-centric design. Contributing to business development through proposals, bids and client presentations, while supporting thought leadership, innovation initiatives and continuous improvement across the wider practice. What we're looking for You'll combine strong technical expertise with consulting experience and the ability to influence stakeholders at every level. We're looking for: Significant experience designing enterprise data platforms, cloud architectures and AI-enabled solutions within a consulting or client-facing environment. Around 10+ years' experience working with modern data technologies and architecture, including at least 6 years designing cloud-based data platforms using AWS, Azure or GCP. Hands-on expertise with technologies such as Snowflake, Databricks, Synapse, BigQuery, Redshift or similar enterprise data platforms. Strong knowledge of Infrastructure-as-Code, DevOps, CI/CD, networking, security and identity management for modern cloud environments. Experience designing ETL/ELT solutions, cloud migrations and modern architecture patterns including Data Mesh and Data Fabric. Excellent stakeholder management, consulting and communication skills, with experience shaping strategy, leading architecture discussions and delivering client value. Eligibility for UK Security Clearance (SC). Desirable: Cloud certifications (minimum intermediate level), AI data architecture expertise, Agile delivery experience, cloud cost optimisation knowledge and experience working within the UK Public Sector, Financial Services, Retail, Telecommunications or Transport sectors. If you've held any of these roles or used these technologies/skills, this role could be a great fit: Data Platform Architect, Cloud Data Architect, Enterprise Data Architect, Principal Data Architect, Data Engineering Consultant, Cloud Architect, AI Platform Architect, Data & AI Consultant, Data Solutions Architect, Azure Data Architect, AWS Data Architect, GCP Data Architect, Data Engineering Lead, Solution Architect, Snowflake, Databricks, Synapse, BigQuery, Redshift, AWS, Azure, Google Cloud Platform (GCP), Terraform, CloudFormation, ARM Templates, DevOps, CI/CD, ETL, ELT, Data Mesh, Data Fabric, AI Architecture, Infrastructure-as-Code. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate 1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.
Senior Data Engineer Location : Gloucester - 2 days / 3 days WFH per week Salary : Up to £85,000 Benefits : Excellent benefits package, career development and the opportunity to shape a growing data platform. Our client, a leading engineering and manufacturing organisation, is looking to appoint a Senior Data Engineer to play a key role in the evolution of its enterprise data platform. This is an opportunity to influence data strategy, own critical data engineering initiatives, and work with modern cloud technologies to deliver trusted, high-quality data that supports business decision-making across a global organisation. Working within a collaborative data team, you'll combine technical expertise with strong stakeholder engagement to design scalable data solutions, improve governance, and enable data-driven decisions throughout the business. What you'll do Design, build and maintain enterprise data architecture and scalable data pipelines. Administer and optimise a Snowflake data warehouse environment. Develop robust ELT pipelines using modern data engineering best practices. Build dimensional data models and reporting datasets to support business intelligence. Create insightful dashboards and reports using Power BI. Define and promote data governance standards and data quality initiatives. Analyse complex datasets and translate business requirements into technical solutions. Contribute to the organisation's data strategy by evaluating emerging technologies and AI capabilities. Support and educate business users on data best practice. Collaborate with technical and business stakeholders across multiple locations to deliver strategic data initiatives. You'll work closely with business leaders, technology teams and global stakeholders to ensure data is accessible, reliable and delivers measurable business value. What we're looking for We're looking for an experienced Senior Data Engineer with a passion for building modern cloud-based data platforms. Essential experience includes: Strong commercial SQL development experience. Proven experience administering enterprise data warehouses. Experience with Snowflake. Experience developing data pipelines and ELT processes. Strong knowledge of data warehousing principles and dimensional modelling (Kimball). Experience using dbt. Power BI report and dashboard development. Strong stakeholder management and communication skills. Excellent analytical and problem-solving ability. Experience documenting data solutions and technical specifications. Understanding of data governance, GDPR and data security principles. Desirable experience: Fivetran or similar integration tools. Microsoft Fabric. GitHub and modern SDLC practices. ERP integrations such as Dynamics 365 or Infor. Exposure to AI technologies including Snowflake Cortex or OpenAI tooling. Experience within engineering, manufacturing or aerospace environments. The ideal candidate will be a proactive self-starter who enjoys solving complex problems, influencing stakeholders and driving continuous improvement in a collaborative environment. Why join? Play a key role in shaping a growing enterprise data platform. Work with modern cloud technologies including Snowflake, dbt and Power BI. Influence data strategy and architecture across a global business. Join a collaborative team focused on innovation, data quality and continuous improvement. Opportunity to work on high-impact projects with genuine business visibility.
Aug 08, 2026
Full time
Senior Data Engineer Location : Gloucester - 2 days / 3 days WFH per week Salary : Up to £85,000 Benefits : Excellent benefits package, career development and the opportunity to shape a growing data platform. Our client, a leading engineering and manufacturing organisation, is looking to appoint a Senior Data Engineer to play a key role in the evolution of its enterprise data platform. This is an opportunity to influence data strategy, own critical data engineering initiatives, and work with modern cloud technologies to deliver trusted, high-quality data that supports business decision-making across a global organisation. Working within a collaborative data team, you'll combine technical expertise with strong stakeholder engagement to design scalable data solutions, improve governance, and enable data-driven decisions throughout the business. What you'll do Design, build and maintain enterprise data architecture and scalable data pipelines. Administer and optimise a Snowflake data warehouse environment. Develop robust ELT pipelines using modern data engineering best practices. Build dimensional data models and reporting datasets to support business intelligence. Create insightful dashboards and reports using Power BI. Define and promote data governance standards and data quality initiatives. Analyse complex datasets and translate business requirements into technical solutions. Contribute to the organisation's data strategy by evaluating emerging technologies and AI capabilities. Support and educate business users on data best practice. Collaborate with technical and business stakeholders across multiple locations to deliver strategic data initiatives. You'll work closely with business leaders, technology teams and global stakeholders to ensure data is accessible, reliable and delivers measurable business value. What we're looking for We're looking for an experienced Senior Data Engineer with a passion for building modern cloud-based data platforms. Essential experience includes: Strong commercial SQL development experience. Proven experience administering enterprise data warehouses. Experience with Snowflake. Experience developing data pipelines and ELT processes. Strong knowledge of data warehousing principles and dimensional modelling (Kimball). Experience using dbt. Power BI report and dashboard development. Strong stakeholder management and communication skills. Excellent analytical and problem-solving ability. Experience documenting data solutions and technical specifications. Understanding of data governance, GDPR and data security principles. Desirable experience: Fivetran or similar integration tools. Microsoft Fabric. GitHub and modern SDLC practices. ERP integrations such as Dynamics 365 or Infor. Exposure to AI technologies including Snowflake Cortex or OpenAI tooling. Experience within engineering, manufacturing or aerospace environments. The ideal candidate will be a proactive self-starter who enjoys solving complex problems, influencing stakeholders and driving continuous improvement in a collaborative environment. Why join? Play a key role in shaping a growing enterprise data platform. Work with modern cloud technologies including Snowflake, dbt and Power BI. Influence data strategy and architecture across a global business. Join a collaborative team focused on innovation, data quality and continuous improvement. Opportunity to work on high-impact projects with genuine business visibility.
Contract Opportunity: Senior Data Engineer / DataOps Engineer Location: Central London, UK Contract Duration: 6 Months Role Type: Contract About the Role Are you an experienced Data Engineer with a passion for DataOps, automation, and platform engineering? We are looking for a Senior Data Engineer to help build, automate, and support cutting-edge enterprise data platforms across Azure, SQL Server, and Snowflake ecosystems. In this pivotal 6-month contract, you will drive data onboarding, migration, and automation initiatives. Your work will directly contribute to operational excellence, scalable data solutions, and the empowerment of self-service capabilities across the business. What You Will Be Doing Pipeline Engineering: Design and develop robust data ingestion, transformation, and migration solutions utilizing Azure Data Factory (ADF). ETL/ELT Development: Build and maintain seamless pipelines across SQL Server, Azure Data Lake Storage (ADLS), and Snowflake ecosystems. Automation & Frameworks: Build reusable frameworks for data onboarding, schema deployment, and validation. Automate operational processes using SQL, Python, or PowerShell. Database Administration: Administer and manage SQL Server environments hosted on Azure VMs, handling security, backup/recovery, performance tuning, and access management. Platform Modernization: Support database migrations, system upgrades, and platform modernization initiatives. Governance & Security: Implement data quality controls, governance standards, audit logging, and security best practices. Collaboration: Work closely with business and technology teams to deliver highly scalable, reliable data solutions and improve overall DataOps efficiency. What We Are Looking For (Essential Skills) To be successful in this role, you must have strong hands-on experience in the following areas: Core Technologies: Azure Data Factory (ADF), Azure Data Lake (ADLS), Azure SQL, and core ETL concepts. SQL Server Mastery: Advanced SQL Server development and administration skills, including hands-on experience managing SQL Server on Azure Virtual Machines. Database Expertise: Proven track record in database migration, performance tuning, backup/recovery, and security implementation. Scripting & Automation: Strong scripting abilities in SQL, Python, and/or PowerShell. Data Formats: Experience working with structured and semi-structured data formats (CSV, JSON, XML, Parquet, MDF, BAK). Problem Solving: Exceptional troubleshooting, automation, and analytical capabilities. How to Apply Please include your most recent CV and a brief summary of your experience with Azure and SQL Server environments and share at yogeshwari. com Randstad Technologies is acting as an Employment Business in relation to this vacancy.
Aug 08, 2026
Contractor
Contract Opportunity: Senior Data Engineer / DataOps Engineer Location: Central London, UK Contract Duration: 6 Months Role Type: Contract About the Role Are you an experienced Data Engineer with a passion for DataOps, automation, and platform engineering? We are looking for a Senior Data Engineer to help build, automate, and support cutting-edge enterprise data platforms across Azure, SQL Server, and Snowflake ecosystems. In this pivotal 6-month contract, you will drive data onboarding, migration, and automation initiatives. Your work will directly contribute to operational excellence, scalable data solutions, and the empowerment of self-service capabilities across the business. What You Will Be Doing Pipeline Engineering: Design and develop robust data ingestion, transformation, and migration solutions utilizing Azure Data Factory (ADF). ETL/ELT Development: Build and maintain seamless pipelines across SQL Server, Azure Data Lake Storage (ADLS), and Snowflake ecosystems. Automation & Frameworks: Build reusable frameworks for data onboarding, schema deployment, and validation. Automate operational processes using SQL, Python, or PowerShell. Database Administration: Administer and manage SQL Server environments hosted on Azure VMs, handling security, backup/recovery, performance tuning, and access management. Platform Modernization: Support database migrations, system upgrades, and platform modernization initiatives. Governance & Security: Implement data quality controls, governance standards, audit logging, and security best practices. Collaboration: Work closely with business and technology teams to deliver highly scalable, reliable data solutions and improve overall DataOps efficiency. What We Are Looking For (Essential Skills) To be successful in this role, you must have strong hands-on experience in the following areas: Core Technologies: Azure Data Factory (ADF), Azure Data Lake (ADLS), Azure SQL, and core ETL concepts. SQL Server Mastery: Advanced SQL Server development and administration skills, including hands-on experience managing SQL Server on Azure Virtual Machines. Database Expertise: Proven track record in database migration, performance tuning, backup/recovery, and security implementation. Scripting & Automation: Strong scripting abilities in SQL, Python, and/or PowerShell. Data Formats: Experience working with structured and semi-structured data formats (CSV, JSON, XML, Parquet, MDF, BAK). Problem Solving: Exceptional troubleshooting, automation, and analytical capabilities. How to Apply Please include your most recent CV and a brief summary of your experience with Azure and SQL Server environments and share at yogeshwari. com Randstad Technologies is acting as an Employment Business in relation to this vacancy.
Location: London (Hybrid - 1-2 days per week onsite) Salary: 90,000 - 100,000 + Excellent Benefits Job Type: Permanent Are you an experienced Data Architect looking to shape the future of enterprise data platforms? We're working with a leading global organisation that is investing heavily in cloud, data and AI transformation. As part of this growth, they're looking for a Senior Data Architect to design and deliver enterprise-scale data platforms that power advanced analytics, machine learning and AI solutions. This is an opportunity to work on large-scale transformation programmes, influencing data strategy and architecture while working with some of the latest cloud technologies. The Role As a Senior Data Architect, you'll be responsible for designing scalable, secure and high-performing data platforms across cloud environments. You'll work closely with technical teams, stakeholders and business leaders to define architecture, establish best practices and deliver modern data solutions. Key Responsibilities Design and architect enterprise-scale cloud data platforms. Define data architecture strategies, standards and governance. Deliver modern data solutions using Databricks , Snowflake , AWS and GCP . Enable advanced analytics, AI and machine learning capabilities. Work closely with engineering, data and business teams to deliver end-to-end solutions. Provide technical leadership throughout the project lifecycle. Ensure solutions are secure, scalable and aligned with business objectives. Skills & Experience We're looking for professionals with experience in: Enterprise Data Architecture. Databricks. Snowflake. AWS and/or GCP. Designing modern cloud data platforms. Data Lakes, Data Warehouses and Lakehouse architectures. Data governance, security and architecture best practices. AI, Machine Learning or Data Science platforms (highly desirable). Banking, Financial Services or other highly regulated industries (preferred).
Aug 07, 2026
Full time
Location: London (Hybrid - 1-2 days per week onsite) Salary: 90,000 - 100,000 + Excellent Benefits Job Type: Permanent Are you an experienced Data Architect looking to shape the future of enterprise data platforms? We're working with a leading global organisation that is investing heavily in cloud, data and AI transformation. As part of this growth, they're looking for a Senior Data Architect to design and deliver enterprise-scale data platforms that power advanced analytics, machine learning and AI solutions. This is an opportunity to work on large-scale transformation programmes, influencing data strategy and architecture while working with some of the latest cloud technologies. The Role As a Senior Data Architect, you'll be responsible for designing scalable, secure and high-performing data platforms across cloud environments. You'll work closely with technical teams, stakeholders and business leaders to define architecture, establish best practices and deliver modern data solutions. Key Responsibilities Design and architect enterprise-scale cloud data platforms. Define data architecture strategies, standards and governance. Deliver modern data solutions using Databricks , Snowflake , AWS and GCP . Enable advanced analytics, AI and machine learning capabilities. Work closely with engineering, data and business teams to deliver end-to-end solutions. Provide technical leadership throughout the project lifecycle. Ensure solutions are secure, scalable and aligned with business objectives. Skills & Experience We're looking for professionals with experience in: Enterprise Data Architecture. Databricks. Snowflake. AWS and/or GCP. Designing modern cloud data platforms. Data Lakes, Data Warehouses and Lakehouse architectures. Data governance, security and architecture best practices. AI, Machine Learning or Data Science platforms (highly desirable). Banking, Financial Services or other highly regulated industries (preferred).
As a Senior Data Engineer in Manchester within the leisure, travel and tourism industry, you'll play a key role in managing and optimising data pipelines to support analytics and decision-making. This is a hands-on role where your expertise will help ensure the business runs smoothly by maintaining high data quality and performance. Client Details Based in Manchester, we're the longest-standing travel franchise in the UK. Through our innovative platform and trusted model, we empower people to set up, grow, and sustain successful travel businesses, with a strong focus on both premium leisure and corporate travel. For over 30 years, we've empowered 2,200+ independent travel agents worldwide, helping them build successful businesses while providing deeply personal, human connections with their customers. Supported by a talented team of over 400 people in our Support Offices, we create unique travel experiences that keep customers coming back. Named the Best Place to Work in Travel (2022) and ranked in the Sunday Times Best Places to Work (2023, 2024 & 2025), we're expanding rapidly and looking for exceptional individuals to join our Head Office team. Description The successful Senior Data Engineer will be responsible for but not limited to: Developing and maintaining scalable data pipelines and systems to support analytics needs. Collaborate with analytics teams to ensure data accessibility and usability. Optimise data workflows and troubleshoot any data-related issues. Ensure data quality and implement best practices for data governance. Work with various data sources and integrate them into a centralised platform. Provide technical expertise and mentoring to junior team members. Document processes and maintain up-to-date records of data architecture. Support the organisation in leveraging data for strategic decisions. Profile The successful Senior Data Engineer will be able to demonstrate: Strong technical skills in data engineering tools and frameworks. Experience working with large-scale data systems and pipelines. Knowledge of data governance and best practices in data quality. Ability to collaborate effectively with cross-functional teams. A proactive and solutions-focused approach to problem-solving. Excellent communication and documentation skills. Technical Skills: SQL Snowflake Python Desirable DBT Airbyte Job Offer Located by Trafford Park we are easily commutable from Manchester, Liverpool, Warrington and other surrounding areas. Salary ranging from 58000 - 63,000, dependent on the level of experience. Permanent position based in Manchester. Hybrid working, circa 2 days in the office. Additional benefits to be confirmed. If you're interested in this role, apply now. People are at the heart of Michael Page. We are committed to creating an inclusive environment. As an inclusive recruiter we welcome applications from people of all backgrounds, identities and experiences. If you require any adjustments or accommodations during the recruitment process, we'll work with you to ensure you can perform at your best.
Aug 07, 2026
Full time
As a Senior Data Engineer in Manchester within the leisure, travel and tourism industry, you'll play a key role in managing and optimising data pipelines to support analytics and decision-making. This is a hands-on role where your expertise will help ensure the business runs smoothly by maintaining high data quality and performance. Client Details Based in Manchester, we're the longest-standing travel franchise in the UK. Through our innovative platform and trusted model, we empower people to set up, grow, and sustain successful travel businesses, with a strong focus on both premium leisure and corporate travel. For over 30 years, we've empowered 2,200+ independent travel agents worldwide, helping them build successful businesses while providing deeply personal, human connections with their customers. Supported by a talented team of over 400 people in our Support Offices, we create unique travel experiences that keep customers coming back. Named the Best Place to Work in Travel (2022) and ranked in the Sunday Times Best Places to Work (2023, 2024 & 2025), we're expanding rapidly and looking for exceptional individuals to join our Head Office team. Description The successful Senior Data Engineer will be responsible for but not limited to: Developing and maintaining scalable data pipelines and systems to support analytics needs. Collaborate with analytics teams to ensure data accessibility and usability. Optimise data workflows and troubleshoot any data-related issues. Ensure data quality and implement best practices for data governance. Work with various data sources and integrate them into a centralised platform. Provide technical expertise and mentoring to junior team members. Document processes and maintain up-to-date records of data architecture. Support the organisation in leveraging data for strategic decisions. Profile The successful Senior Data Engineer will be able to demonstrate: Strong technical skills in data engineering tools and frameworks. Experience working with large-scale data systems and pipelines. Knowledge of data governance and best practices in data quality. Ability to collaborate effectively with cross-functional teams. A proactive and solutions-focused approach to problem-solving. Excellent communication and documentation skills. Technical Skills: SQL Snowflake Python Desirable DBT Airbyte Job Offer Located by Trafford Park we are easily commutable from Manchester, Liverpool, Warrington and other surrounding areas. Salary ranging from 58000 - 63,000, dependent on the level of experience. Permanent position based in Manchester. Hybrid working, circa 2 days in the office. Additional benefits to be confirmed. If you're interested in this role, apply now. People are at the heart of Michael Page. We are committed to creating an inclusive environment. As an inclusive recruiter we welcome applications from people of all backgrounds, identities and experiences. If you require any adjustments or accommodations during the recruitment process, we'll work with you to ensure you can perform at your best.
Senior Data Engineer (Snowflake) Permanent Hybrid (London - 2 days a week in the office) Salary 70,000 to 90,000 + bonus We're supporting a leading UK Wealth Management organisation as they continue a significant transformation of their Data & AI capability. As part of this journey, they're looking to hire two Senior Data Engineers to join a high-profile Portfolio Suitability programme, one of the most strategically important initiatives within the business over the next two years. This is a highly visible, regulatory-driven programme that will influence how the organisation serves clients, demonstrates suitability, and responds to increasing regulatory expectations. You'll have the opportunity to work directly with senior leadership, investment professionals, and key stakeholders across the business. What You'll Be Doing Designing and developing scalable data solutions within Snowflake Building and maintaining data pipelines and transformation frameworks using dbt Working with complex market, investment and risk datasets Designing dimensional data models and Star Schema structures Supporting portfolio suitability and regulatory reporting initiatives Implementing data quality, validation and governance controls Working closely with investment, risk and business stakeholders Contributing to a rapidly evolving Data & AI capability Leveraging modern engineering practices and AI-assisted development tools What We're Looking For Essential Experience Strong commercial experience with Snowflake Excellent understanding of Star Schema / dimensional modelling Experience with dbt Strong SQL and data engineering capability Experience working with time-series market data Exposure to market data platforms and financial data ingestion Financial Services experience Experience working within risk-related environments Strong stakeholder engagement and communication skills Highly Desirable Portfolio suitability experience Wealth Management or Asset Management experience Investment Management data experience Regulatory reporting exposure Snowflake Cortex AI and/or Claude Code Medallion Architecture experience Modern data platform delivery experience If you'd like to learn more, please contact Jacob Ferdinand at If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.
Aug 06, 2026
Full time
Senior Data Engineer (Snowflake) Permanent Hybrid (London - 2 days a week in the office) Salary 70,000 to 90,000 + bonus We're supporting a leading UK Wealth Management organisation as they continue a significant transformation of their Data & AI capability. As part of this journey, they're looking to hire two Senior Data Engineers to join a high-profile Portfolio Suitability programme, one of the most strategically important initiatives within the business over the next two years. This is a highly visible, regulatory-driven programme that will influence how the organisation serves clients, demonstrates suitability, and responds to increasing regulatory expectations. You'll have the opportunity to work directly with senior leadership, investment professionals, and key stakeholders across the business. What You'll Be Doing Designing and developing scalable data solutions within Snowflake Building and maintaining data pipelines and transformation frameworks using dbt Working with complex market, investment and risk datasets Designing dimensional data models and Star Schema structures Supporting portfolio suitability and regulatory reporting initiatives Implementing data quality, validation and governance controls Working closely with investment, risk and business stakeholders Contributing to a rapidly evolving Data & AI capability Leveraging modern engineering practices and AI-assisted development tools What We're Looking For Essential Experience Strong commercial experience with Snowflake Excellent understanding of Star Schema / dimensional modelling Experience with dbt Strong SQL and data engineering capability Experience working with time-series market data Exposure to market data platforms and financial data ingestion Financial Services experience Experience working within risk-related environments Strong stakeholder engagement and communication skills Highly Desirable Portfolio suitability experience Wealth Management or Asset Management experience Investment Management data experience Regulatory reporting exposure Snowflake Cortex AI and/or Claude Code Medallion Architecture experience Modern data platform delivery experience If you'd like to learn more, please contact Jacob Ferdinand at If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.
Senior Analytics Engineer (Snowflake/ThoughtSpot) Remote (UK) | 6 Month contract - £400 - £500 Per day Outside IR35 We're looking for an Senior Analytics Engineer to join an exciting data transformation programme, helping to build a modern analytics platform from the ground up. This role sits between a Data Engineer and a BI/Analytics Developer, focusing on designing scalable data models that power self-service analytics rather than building dashboards. You'll work closely with Data Engineers and business stakeholders to shape a new reporting platform built on Snowflake and ThoughtSpot. What you'll need: Strong commercial experience with ThoughtSpot (essential) Hands-on experience with Snowflake (essential) Experience with ETL tooling , ideally Matillion Ability to design robust, scalable data models for analytics and reporting Strong stakeholder engagement skills and a passion for enabling data-driven decision making If you are looking for a new opportunity then please apply today for immediate consideration!
Jul 27, 2026
Contractor
Senior Analytics Engineer (Snowflake/ThoughtSpot) Remote (UK) | 6 Month contract - £400 - £500 Per day Outside IR35 We're looking for an Senior Analytics Engineer to join an exciting data transformation programme, helping to build a modern analytics platform from the ground up. This role sits between a Data Engineer and a BI/Analytics Developer, focusing on designing scalable data models that power self-service analytics rather than building dashboards. You'll work closely with Data Engineers and business stakeholders to shape a new reporting platform built on Snowflake and ThoughtSpot. What you'll need: Strong commercial experience with ThoughtSpot (essential) Hands-on experience with Snowflake (essential) Experience with ETL tooling , ideally Matillion Ability to design robust, scalable data models for analytics and reporting Strong stakeholder engagement skills and a passion for enabling data-driven decision making If you are looking for a new opportunity then please apply today for immediate consideration!
Senior AWS Data Engineer - London - 125,000 Please note - this role will require you to work from the London based office. You must have the unrestricted right to work in the UK to be eligible for this role. This organisation is not able to offer sponsorship. An exciting opportunity to join a greenfield initiative focused on transforming how market data is accessed and utilised. As a Senior AWS Data Engineer, you'll play a key role in designing and building a cutting-edge data platform using technologies like Databricks, Snowflake, and AWS Glue. Key Responsibilities: Build and maintain scalable data pipelines, warehouses, and lakes. Design secure, high-performance data architectures. Develop processing and analysis algorithms for complex data sets. Collaborate with data scientists to deploy machine learning models. Contribute to strategy, planning, and continuous improvement. Required Experience: Hands-on experience with AWS data tools: Glue, PySpark, Athena, Iceberg, Lake Formation. Strong Python and SQL skills for data processing and analysis. Deep understanding of data governance, quality, and security. Knowledge of market data and its business applications. Desirable Experience: Experience with Databricks and Snowflake. Familiarity with machine learning and data science concepts. Strategic thinking and ability to influence cross-functional teams. This role offers the chance to work across multiple business areas, solve complex data challenges, and contribute to long-term strategic goals. You'll be empowered to lead, collaborate, and innovate in a dynamic environment. To apply for this role please submit your CV or contact David Airey on (phone number removed) or at (url removed). Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, and the London Fabric User Group. We are the global leaders in Data & AI recruitment.
Oct 06, 2025
Full time
Senior AWS Data Engineer - London - 125,000 Please note - this role will require you to work from the London based office. You must have the unrestricted right to work in the UK to be eligible for this role. This organisation is not able to offer sponsorship. An exciting opportunity to join a greenfield initiative focused on transforming how market data is accessed and utilised. As a Senior AWS Data Engineer, you'll play a key role in designing and building a cutting-edge data platform using technologies like Databricks, Snowflake, and AWS Glue. Key Responsibilities: Build and maintain scalable data pipelines, warehouses, and lakes. Design secure, high-performance data architectures. Develop processing and analysis algorithms for complex data sets. Collaborate with data scientists to deploy machine learning models. Contribute to strategy, planning, and continuous improvement. Required Experience: Hands-on experience with AWS data tools: Glue, PySpark, Athena, Iceberg, Lake Formation. Strong Python and SQL skills for data processing and analysis. Deep understanding of data governance, quality, and security. Knowledge of market data and its business applications. Desirable Experience: Experience with Databricks and Snowflake. Familiarity with machine learning and data science concepts. Strategic thinking and ability to influence cross-functional teams. This role offers the chance to work across multiple business areas, solve complex data challenges, and contribute to long-term strategic goals. You'll be empowered to lead, collaborate, and innovate in a dynamic environment. To apply for this role please submit your CV or contact David Airey on (phone number removed) or at (url removed). Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, and the London Fabric User Group. We are the global leaders in Data & AI recruitment.
Snowflake Data Modeller Location: Remote (Mostly remote with some occasional travel to Hemel Hempstead) Contract: Outside IR35 Day rate: Up to £550 per day Duration: 6 months Start date: ASAP Key skills: Snowflake, DBT, SQL, Python, AWS and Kimball The Client who are in the process of migrating to SnowFlake therefore require extra support. As a result, they require someone from a strong SQL & Python development background with excellent working knowledge of Data Build Tool (DBT). You will be undertaking aspects of the development life cycle and be experienced in data modelling, process design, development, and testing. And whilst this company is going through a large-scale migration, this will present you with an opportunity to be at the cutting edge of data engineering. YOUR SKILLS AND EXPERIENCE A successful Senior Data Engineer here will have experience in the following: - Advanced SQL knowledge - SnowFlake (ideally certified) - Python development - AWS cloud experience essential, relating to data tooling and development - Working knowledge of Data Build Tool (DBT). o Develop staging, intermediate and marts in DBT to achieve analytics requirements o Optimize existing models to make it more reusable by following DBT best practices o Spot opportunities for the models to be incremental over full refresh o Organize sources and document sources in DBT o Develop DBT macros for most frequently repeated tasks - Knowledge of Continuous Integration and Continuous Deployment (CI/CD) - Development experience in one or more object-oriented programming languages (eg Python) - Ability to work with senior stakeholders across multiple verticals
Oct 03, 2025
Contractor
Snowflake Data Modeller Location: Remote (Mostly remote with some occasional travel to Hemel Hempstead) Contract: Outside IR35 Day rate: Up to £550 per day Duration: 6 months Start date: ASAP Key skills: Snowflake, DBT, SQL, Python, AWS and Kimball The Client who are in the process of migrating to SnowFlake therefore require extra support. As a result, they require someone from a strong SQL & Python development background with excellent working knowledge of Data Build Tool (DBT). You will be undertaking aspects of the development life cycle and be experienced in data modelling, process design, development, and testing. And whilst this company is going through a large-scale migration, this will present you with an opportunity to be at the cutting edge of data engineering. YOUR SKILLS AND EXPERIENCE A successful Senior Data Engineer here will have experience in the following: - Advanced SQL knowledge - SnowFlake (ideally certified) - Python development - AWS cloud experience essential, relating to data tooling and development - Working knowledge of Data Build Tool (DBT). o Develop staging, intermediate and marts in DBT to achieve analytics requirements o Optimize existing models to make it more reusable by following DBT best practices o Spot opportunities for the models to be incremental over full refresh o Organize sources and document sources in DBT o Develop DBT macros for most frequently repeated tasks - Knowledge of Continuous Integration and Continuous Deployment (CI/CD) - Development experience in one or more object-oriented programming languages (eg Python) - Ability to work with senior stakeholders across multiple verticals
Senior Python Software Engineer (Senior Architecture Programmer Developer Python Java Software Engineer Data Enterprise Engineering Developer Programmer AWS Python Athena Glue Airflow Ignite JavaScript Agile Pandas NumPy SciPy Spark Dremio Snowflake Apache Iceburg Iceberg Arrow DBT gRPC protobuf TypeScript Finance Trading Front Office Investment Banking Asset Manager Financial Services FX Fixed Income Equities Commodities Derivatives Hedge Fund) required by my asset management client in London. You MUST have the following: Advanced ability as a Senior Python Software Engineer/Technical Lead/Solutions Architect/Principal Engineer Good design and architecture ability Java Three or more of the following: Iceberg Dremio DBT Arrow Snowflake Glue Athena Airflow Agile The following is DESIRABLE, not essential: Trading, Front Office finance Spark Buy-side asset management (hedge fund, asset manager, investment management) Role: Senior Python Software Engineer (Senior Architecture Programmer Developer Python Java Software Engineer Data Enterprise Engineering Developer Programmer AWS Python Athena Glue Airflow Ignite JavaScript Agile Pandas NumPy SciPy Spark Dremio Snowflake Apache Iceburg Iceberg Arrow DBT gRPC protobuf TypeScript Finance Trading Front Office Investment Banking Asset Manager Financial Services FX Fixed Income Equities Commodities Derivatives Hedge Fund Snowflake) required by my asset management client in London. You will join a relatively new department that is responsible for the data used across the Front Office. The data is sourced from a variety of external vendors and internal departments and held in an AWS data lake, although this is being migrated to a data mesh architecture. They are working heavily with Python, Java and AWS. If you have any experience in Iceberg, Dremio, DBT, Arrow, Spark, Snowflake, Glue, Athena, Airflow or related tools, this would also be very advantageous. You will join a team of 5 that are responsible for pricing data for the Front Office. This is a senior role in the team and will demand a strong ability in design and architecture. If you come in at the right level, you could be the deputy for the team manager. They have a very flexible hybrid working set up. Salary: £90-120k + 15% Bonus + 10% Pension
Oct 03, 2025
Full time
Senior Python Software Engineer (Senior Architecture Programmer Developer Python Java Software Engineer Data Enterprise Engineering Developer Programmer AWS Python Athena Glue Airflow Ignite JavaScript Agile Pandas NumPy SciPy Spark Dremio Snowflake Apache Iceburg Iceberg Arrow DBT gRPC protobuf TypeScript Finance Trading Front Office Investment Banking Asset Manager Financial Services FX Fixed Income Equities Commodities Derivatives Hedge Fund) required by my asset management client in London. You MUST have the following: Advanced ability as a Senior Python Software Engineer/Technical Lead/Solutions Architect/Principal Engineer Good design and architecture ability Java Three or more of the following: Iceberg Dremio DBT Arrow Snowflake Glue Athena Airflow Agile The following is DESIRABLE, not essential: Trading, Front Office finance Spark Buy-side asset management (hedge fund, asset manager, investment management) Role: Senior Python Software Engineer (Senior Architecture Programmer Developer Python Java Software Engineer Data Enterprise Engineering Developer Programmer AWS Python Athena Glue Airflow Ignite JavaScript Agile Pandas NumPy SciPy Spark Dremio Snowflake Apache Iceburg Iceberg Arrow DBT gRPC protobuf TypeScript Finance Trading Front Office Investment Banking Asset Manager Financial Services FX Fixed Income Equities Commodities Derivatives Hedge Fund Snowflake) required by my asset management client in London. You will join a relatively new department that is responsible for the data used across the Front Office. The data is sourced from a variety of external vendors and internal departments and held in an AWS data lake, although this is being migrated to a data mesh architecture. They are working heavily with Python, Java and AWS. If you have any experience in Iceberg, Dremio, DBT, Arrow, Spark, Snowflake, Glue, Athena, Airflow or related tools, this would also be very advantageous. You will join a team of 5 that are responsible for pricing data for the Front Office. This is a senior role in the team and will demand a strong ability in design and architecture. If you come in at the right level, you could be the deputy for the team manager. They have a very flexible hybrid working set up. Salary: £90-120k + 15% Bonus + 10% Pension
Senior Python Software Engineer (Senior Architecture Programmer Developer Python Java Software Engineer Data Enterprise Engineering Developer Programmer AWS Python Athena Glue Airflow Ignite JavaScript Agile Pandas NumPy SciPy Spark Dremio Snowflake Apache Iceburg Iceberg Arrow DBT gRPC protobuf TypeScript Finance Trading Front Office Investment Banking Asset Manager Financial Services FX Fixed Income Equities Commodities Derivatives Hedge Fund) required by my asset management client in London. You MUST have the following: Advanced ability as a Senior Python Software Engineer/Technical Lead/Solutions Architect/Principal Engineer Good design and architecture ability Java Three or more of the following: Iceberg Dremio DBT Arrow Snowflake Glue Athena Airflow Agile The following is DESIRABLE, not essential: Trading, Front Office finance Spark Buy-side asset management (hedge fund, asset manager, investment management) Role: Senior Python Software Engineer (Senior Architecture Programmer Developer Python Java Software Engineer Data Enterprise Engineering Developer Programmer AWS Python Athena Glue Airflow Ignite JavaScript Agile Pandas NumPy SciPy Spark Dremio Snowflake Apache Iceburg Iceberg Arrow DBT gRPC protobuf TypeScript Finance Trading Front Office Investment Banking Asset Manager Financial Services FX Fixed Income Equities Commodities Derivatives Hedge Fund Snowflake) required by my asset management client in London. You will join a relatively new department that is responsible for the data used across the Front Office. The data is sourced from a variety of external vendors and internal departments and held in an AWS data lake, although this is being migrated to a data mesh architecture. They are working heavily with Python, Java and AWS. If you have any experience in Iceberg, Dremio, DBT, Arrow, Spark, Snowflake, Glue, Athena, Airflow or related tools, this would also be very advantageous. You will join a team of 5 that are responsible for pricing data for the Front Office. This is a senior role in the team and will demand a strong ability in design and architecture. If you come in at the right level, you could be the deputy for the team manager. They have a very flexible hybrid working set up. Salary: £120-150k + 15% Bonus + 10% Pension
Oct 03, 2025
Full time
Senior Python Software Engineer (Senior Architecture Programmer Developer Python Java Software Engineer Data Enterprise Engineering Developer Programmer AWS Python Athena Glue Airflow Ignite JavaScript Agile Pandas NumPy SciPy Spark Dremio Snowflake Apache Iceburg Iceberg Arrow DBT gRPC protobuf TypeScript Finance Trading Front Office Investment Banking Asset Manager Financial Services FX Fixed Income Equities Commodities Derivatives Hedge Fund) required by my asset management client in London. You MUST have the following: Advanced ability as a Senior Python Software Engineer/Technical Lead/Solutions Architect/Principal Engineer Good design and architecture ability Java Three or more of the following: Iceberg Dremio DBT Arrow Snowflake Glue Athena Airflow Agile The following is DESIRABLE, not essential: Trading, Front Office finance Spark Buy-side asset management (hedge fund, asset manager, investment management) Role: Senior Python Software Engineer (Senior Architecture Programmer Developer Python Java Software Engineer Data Enterprise Engineering Developer Programmer AWS Python Athena Glue Airflow Ignite JavaScript Agile Pandas NumPy SciPy Spark Dremio Snowflake Apache Iceburg Iceberg Arrow DBT gRPC protobuf TypeScript Finance Trading Front Office Investment Banking Asset Manager Financial Services FX Fixed Income Equities Commodities Derivatives Hedge Fund Snowflake) required by my asset management client in London. You will join a relatively new department that is responsible for the data used across the Front Office. The data is sourced from a variety of external vendors and internal departments and held in an AWS data lake, although this is being migrated to a data mesh architecture. They are working heavily with Python, Java and AWS. If you have any experience in Iceberg, Dremio, DBT, Arrow, Spark, Snowflake, Glue, Athena, Airflow or related tools, this would also be very advantageous. You will join a team of 5 that are responsible for pricing data for the Front Office. This is a senior role in the team and will demand a strong ability in design and architecture. If you come in at the right level, you could be the deputy for the team manager. They have a very flexible hybrid working set up. Salary: £120-150k + 15% Bonus + 10% Pension
Senior Java Software Engineer (Senior Architecture Programmer Developer Java Python Software Engineer Data Enterprise Engineering Developer Programmer AWS Python Athena Glue Airflow Ignite JavaScript Agile Pandas NumPy SciPy Spark Dremio Snowflake Apache Iceburg Iceberg Arrow DBT gRPC protobuf TypeScript Finance Trading Front Office Investment Banking Asset Manager Financial Services FX Fixed Income Equities Commodities Derivatives Hedge Fund) required by my asset management client in London. You MUST have the following: Advanced ability as a Senior Java Software Engineer/Technical Lead/Solutions Architect/Principal Engineer Good design and architecture ability Python Three or more of the following: Iceberg Dremio DBT Arrow Snowflake Glue Athena Airflow Agile The following is DESIRABLE, not essential: Trading, Front Office finance Spark Buy-side asset management (hedge fund, asset manager, investment management) Role: Senior Java Software Engineer (Senior Architecture Programmer Developer Java Python Software Engineer Data Enterprise Engineering Developer Programmer AWS Python Athena Glue Airflow Ignite JavaScript Agile Pandas NumPy SciPy Spark Dremio Snowflake Apache Iceburg Iceberg Arrow DBT gRPC protobuf TypeScript Finance Trading Front Office Investment Banking Asset Manager Financial Services FX Fixed Income Equities Commodities Derivatives Hedge Fund Snowflake) required by my asset management client in London. You will join a relatively new department that is responsible for the data used across the Front Office. The data is sourced from a variety of external vendors and internal departments and held in an AWS data lake, although this is being migrated to a data mesh architecture. They are working heavily with Java, Python and AWS. If you have any experience in Iceberg, Dremio, DBT, Arrow, Spark, Snowflake, Glue, Athena, Airflow or related tools, this would also be very advantageous. You will join a team of 5 that are responsible for pricing data for the Front Office. This is a senior role in the team and will demand a strong ability in design and architecture. If you come in at the right level, you could be the deputy for the team manager. They have a very flexible hybrid working set up. Salary: £90-120k + 15% Bonus + 10% Pension
Oct 03, 2025
Full time
Senior Java Software Engineer (Senior Architecture Programmer Developer Java Python Software Engineer Data Enterprise Engineering Developer Programmer AWS Python Athena Glue Airflow Ignite JavaScript Agile Pandas NumPy SciPy Spark Dremio Snowflake Apache Iceburg Iceberg Arrow DBT gRPC protobuf TypeScript Finance Trading Front Office Investment Banking Asset Manager Financial Services FX Fixed Income Equities Commodities Derivatives Hedge Fund) required by my asset management client in London. You MUST have the following: Advanced ability as a Senior Java Software Engineer/Technical Lead/Solutions Architect/Principal Engineer Good design and architecture ability Python Three or more of the following: Iceberg Dremio DBT Arrow Snowflake Glue Athena Airflow Agile The following is DESIRABLE, not essential: Trading, Front Office finance Spark Buy-side asset management (hedge fund, asset manager, investment management) Role: Senior Java Software Engineer (Senior Architecture Programmer Developer Java Python Software Engineer Data Enterprise Engineering Developer Programmer AWS Python Athena Glue Airflow Ignite JavaScript Agile Pandas NumPy SciPy Spark Dremio Snowflake Apache Iceburg Iceberg Arrow DBT gRPC protobuf TypeScript Finance Trading Front Office Investment Banking Asset Manager Financial Services FX Fixed Income Equities Commodities Derivatives Hedge Fund Snowflake) required by my asset management client in London. You will join a relatively new department that is responsible for the data used across the Front Office. The data is sourced from a variety of external vendors and internal departments and held in an AWS data lake, although this is being migrated to a data mesh architecture. They are working heavily with Java, Python and AWS. If you have any experience in Iceberg, Dremio, DBT, Arrow, Spark, Snowflake, Glue, Athena, Airflow or related tools, this would also be very advantageous. You will join a team of 5 that are responsible for pricing data for the Front Office. This is a senior role in the team and will demand a strong ability in design and architecture. If you come in at the right level, you could be the deputy for the team manager. They have a very flexible hybrid working set up. Salary: £90-120k + 15% Bonus + 10% Pension
Senior Java Software Engineer (Senior Architecture Programmer Developer Java Python Software Engineer Data Enterprise Engineering Developer Programmer AWS Python Athena Glue Airflow Ignite JavaScript Agile Pandas NumPy SciPy Spark Dremio Snowflake Apache Iceburg Iceberg Arrow DBT gRPC protobuf TypeScript Finance Trading Front Office Investment Banking Asset Manager Financial Services FX Fixed Income Equities Commodities Derivatives Hedge Fund) required by my asset management client in London. You MUST have the following: Advanced ability as a Senior Java Software Engineer/Technical Lead/Solutions Architect/Principal Engineer Good design and architecture ability Python Three or more of the following: Iceberg Dremio DBT Arrow Snowflake Glue Athena Airflow Agile The following is DESIRABLE, not essential: Trading, Front Office finance Spark Buy-side asset management (hedge fund, asset manager, investment management) Role: Senior Java Software Engineer (Senior Architecture Programmer Developer Java Python Software Engineer Data Enterprise Engineering Developer Programmer AWS Python Athena Glue Airflow Ignite JavaScript Agile Pandas NumPy SciPy Spark Dremio Snowflake Apache Iceburg Iceberg Arrow DBT gRPC protobuf TypeScript Finance Trading Front Office Investment Banking Asset Manager Financial Services FX Fixed Income Equities Commodities Derivatives Hedge Fund Snowflake) required by my asset management client in London. You will join a relatively new department that is responsible for the data used across the Front Office. The data is sourced from a variety of external vendors and internal departments and held in an AWS data lake, although this is being migrated to a data mesh architecture. They are working heavily with Java, Python and AWS. If you have any experience in Iceberg, Dremio, DBT, Arrow, Spark, Snowflake, Glue, Athena, Airflow or related tools, this would also be very advantageous. You will join a team of 5 that are responsible for pricing data for the Front Office. This is a senior role in the team and will demand a strong ability in design and architecture. If you come in at the right level, you could be the deputy for the team manager. They have a very flexible hybrid working set up. Salary: £120-150k + 15% Bonus + 10% Pension
Oct 03, 2025
Full time
Senior Java Software Engineer (Senior Architecture Programmer Developer Java Python Software Engineer Data Enterprise Engineering Developer Programmer AWS Python Athena Glue Airflow Ignite JavaScript Agile Pandas NumPy SciPy Spark Dremio Snowflake Apache Iceburg Iceberg Arrow DBT gRPC protobuf TypeScript Finance Trading Front Office Investment Banking Asset Manager Financial Services FX Fixed Income Equities Commodities Derivatives Hedge Fund) required by my asset management client in London. You MUST have the following: Advanced ability as a Senior Java Software Engineer/Technical Lead/Solutions Architect/Principal Engineer Good design and architecture ability Python Three or more of the following: Iceberg Dremio DBT Arrow Snowflake Glue Athena Airflow Agile The following is DESIRABLE, not essential: Trading, Front Office finance Spark Buy-side asset management (hedge fund, asset manager, investment management) Role: Senior Java Software Engineer (Senior Architecture Programmer Developer Java Python Software Engineer Data Enterprise Engineering Developer Programmer AWS Python Athena Glue Airflow Ignite JavaScript Agile Pandas NumPy SciPy Spark Dremio Snowflake Apache Iceburg Iceberg Arrow DBT gRPC protobuf TypeScript Finance Trading Front Office Investment Banking Asset Manager Financial Services FX Fixed Income Equities Commodities Derivatives Hedge Fund Snowflake) required by my asset management client in London. You will join a relatively new department that is responsible for the data used across the Front Office. The data is sourced from a variety of external vendors and internal departments and held in an AWS data lake, although this is being migrated to a data mesh architecture. They are working heavily with Java, Python and AWS. If you have any experience in Iceberg, Dremio, DBT, Arrow, Spark, Snowflake, Glue, Athena, Airflow or related tools, this would also be very advantageous. You will join a team of 5 that are responsible for pricing data for the Front Office. This is a senior role in the team and will demand a strong ability in design and architecture. If you come in at the right level, you could be the deputy for the team manager. They have a very flexible hybrid working set up. Salary: £120-150k + 15% Bonus + 10% Pension
Senior Software Engineer / Developer (Data) London / WFH to £115k Global-leading FinTech is seeking a Senior Software Engineer to take ownership of a new team responsible for data focussed strategic enhancements on their core platform. The organisation is a pioneer in the field of cross-asset securities and derivatives post-trade processing technology and have created ground-breaking, adaptable software that produces secure and scalable solutions for peak operational efficiency and optimum business performance for their clients. This is a great opportunity to accelerate your career alongside established business and technology leaders and deepen your finance experience. As a Senior Software Engineer, you'll work on strategic initiatives to develop integration and data migration strategies and tools to allow highly automated migration or integration between the PTP (Post Trade Processing) platform and legacy internal and external systems. You'll be working on Greenfield systems, using a range of technology, you will be granted a great deal of autonomy across the full development lifecycle, influencing key technical decisions and will have the opportunity to grow the team and move into a leadership role if desired. Location / WFH: You'll join colleagues in the London office three days a week with flexibility to work from home the other two days. About you: You're a data centric, Senior Software Engineer with a strong knowledge of modern software engineering best practices You have strong development experience with C#, C++ or Python You have advanced SQL database knowledge (they use Oracle), experience with data transformation technologies such as Databricks or Snowflake and data streaming technologies such as Kafka You have a good understanding of financial markets and the trade lifecycle You're keen to take ownership and enjoy working proactively with minimal supervision You have excellent collaboration and stakeholder management skills You're degree educated in a STEM discipline What's in it for you: As a Senior Software Engineer / Developer (Data) you will receive a competitive package: Salary to £115k Pension (to 9% contribution) Healthcare Volunteer / charity days Hybrid working Career development and training Apply now to find out more about this Senior Software Engineer / Developer (Data) opportunity. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.
Oct 02, 2025
Full time
Senior Software Engineer / Developer (Data) London / WFH to £115k Global-leading FinTech is seeking a Senior Software Engineer to take ownership of a new team responsible for data focussed strategic enhancements on their core platform. The organisation is a pioneer in the field of cross-asset securities and derivatives post-trade processing technology and have created ground-breaking, adaptable software that produces secure and scalable solutions for peak operational efficiency and optimum business performance for their clients. This is a great opportunity to accelerate your career alongside established business and technology leaders and deepen your finance experience. As a Senior Software Engineer, you'll work on strategic initiatives to develop integration and data migration strategies and tools to allow highly automated migration or integration between the PTP (Post Trade Processing) platform and legacy internal and external systems. You'll be working on Greenfield systems, using a range of technology, you will be granted a great deal of autonomy across the full development lifecycle, influencing key technical decisions and will have the opportunity to grow the team and move into a leadership role if desired. Location / WFH: You'll join colleagues in the London office three days a week with flexibility to work from home the other two days. About you: You're a data centric, Senior Software Engineer with a strong knowledge of modern software engineering best practices You have strong development experience with C#, C++ or Python You have advanced SQL database knowledge (they use Oracle), experience with data transformation technologies such as Databricks or Snowflake and data streaming technologies such as Kafka You have a good understanding of financial markets and the trade lifecycle You're keen to take ownership and enjoy working proactively with minimal supervision You have excellent collaboration and stakeholder management skills You're degree educated in a STEM discipline What's in it for you: As a Senior Software Engineer / Developer (Data) you will receive a competitive package: Salary to £115k Pension (to 9% contribution) Healthcare Volunteer / charity days Hybrid working Career development and training Apply now to find out more about this Senior Software Engineer / Developer (Data) opportunity. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.
