At PPRO, our mission is to simplify access to local payment methods and our vision is to enable the sale of goods and services to anyone in the world using their preferred way to pay. We empower partners such as Ant Group, PayPal and Stripe to access new markets, connect with more customers, and accelerate their growth. Our strength lies in our diverse global team with 50+ nationalities and 10+ international locations- all united around one goal - to deliver the best possible products and services to our partners and customers. While our company mission is to keep innovating global commerce, our internal mission is to and The Purpose: Join our dynamic European commercial team as a Senior Sales Manager based in London, where you will play a pivotal role in our fintech scale-up's growth story. In this role you will be reporting directly to the London-based Sales Director, Europe. You will be empowered to independently manage your pipeline, exceed ambitious revenue targets, and drive product adoption across EMEA with some of the world's largest and best-known players. This is a high-velocity, individual contributor opportunity where extreme ownership and a very strong sense of urgency are required. You will be responsible for identifying, prospecting, and establishing opportunities with large global financial service providers (PSPs) and enterprise merchants. Your Impact in This Role: Drive Results with Urgency: Act with a fierce sense of urgency to accelerate the sales cycle. You will take absolute accountability for your individual outcomes, successfully managing the full sales cycle from prospecting to converting new Payment Service Provider (PSP), gateway, acquirer/processor, and enterprise merchant contracts Uncompromising Accountability: Independently manage your pipeline and drive product adoption and ongoing innovation, maintaining an uncompromising standard of accountability and proactive initiative Cross-Functional Collaboration: Collaborate extensively with the Sales Engineering team to effortlessly onboard new clients, and partner with Client Success and Marketing teams to deliver customer training and activation sessions without delays Relationship Building & Trust: Make connections with key influencers and decision-makers to drive immediate and long-term opportunities, and develop strategic customer plans for the efficient handover of accounts to Account Management teams What Would Make You a Great Fit: Urgency, Accountability & Ownership: A very strong sense of urgency is an absolute requirement for this role. You possess an unwavering strong sense of ownership and accountability, demonstrating the ability to maintain high levels of productivity, velocity, and focus with minimal supervision in an individual contributor capacity Experience & Track Record: A minimum of 5 years of payments experience in Sales and/or Business Development roles, with a proven record of high performance, consistently achieving outstanding results and delivering against targeted revenue metrics in a fast-paced environment Deep Industry Knowledge: A comprehensive understanding of the FinTech payments space-a broad view of how and where our solutions fit within the ecosystem, and how that is strategically important to our future positioning with PSPs and enterprise merchants Strategic & Analytical Acumen: Strong commercial, analytical, and quantitative skills are essential, with the ability to leverage data and analytics to drive actions, back up assumptions, suggestions, and swiftly optimize your sales approach Strong Communicator & Influencer: Excellent written and verbal communication skills, with the strong influencing skills to confidently engage diverse stakeholders, including technical teams, marketing, and C-level executives. You thrive in international environments, customizing your messaging based on the audience, and easily connecting with people from diverse backgrounds and cultures. Additional European language skills would be an advantage What's in it for you ?: Hybrid working - We offer a hybrid structure with a 3 days / week on site expectation, so you can strike the balance between office and home working. In addition to our 28-day holiday allowance, we also provide a work from abroad policy, enabling employees to work remotely for up to another 30 days per year Learning and Development - We offer a GBP 500 annual budget to support your professional growth-because investing in your development benefits us all. In addition, we provide leadership cafés, on-the-job training, and other opportunities to help you grow your skills and thrive in your role. Insurance - Because better safe than sorry - we want our employees to benefit from various insurances including a medical insurance (BUPA health care plan) and a 5% matching pension plan through Now Pensions. Enhance Family Leave - We understand the importance of family - that's why we offer enhanced family leave to support you during key life moments. Workplace Nursery Scheme - Save on childcare through salary exchange Gym membership - PPRO helpscontribute towardsthe costs of your gym membership, supporting your physical fitness journey while easing the burden on your wallet Mental Health Platform - We've teamed up with a top well-being platform to provide one on one therapy, chat therapy, therapist led courses, guided meditations, and more. Our HQ office on Procter Street, is a short walk from Holborn, Farringdon and Covent Garden so if you're a foodie there's plenty nearby. The office is befitting a tech business and is set up for cross team collaboration. Pet friendly office - Because work is better with your paw tners by your side Our Principles: We get things done: We are courageous; we take ownership, make decisions and get things done. We act with trust and integrity: We listen first and challenge respectfully. We seek out and leverage diverse perspectives. We welcome and offer honest and open feedback, always assuming positive intent We put the customer first: We are laser focused on delivering outstanding outcomes for our customers. We put the customer at the heart of what we do. We make things better: We boldly explore new ideas and have an unwavering commitment to continuous improvement. We work as a team: We collaborate closely and value team success over individual achievement.
Apr 17, 2026
Full time
At PPRO, our mission is to simplify access to local payment methods and our vision is to enable the sale of goods and services to anyone in the world using their preferred way to pay. We empower partners such as Ant Group, PayPal and Stripe to access new markets, connect with more customers, and accelerate their growth. Our strength lies in our diverse global team with 50+ nationalities and 10+ international locations- all united around one goal - to deliver the best possible products and services to our partners and customers. While our company mission is to keep innovating global commerce, our internal mission is to and The Purpose: Join our dynamic European commercial team as a Senior Sales Manager based in London, where you will play a pivotal role in our fintech scale-up's growth story. In this role you will be reporting directly to the London-based Sales Director, Europe. You will be empowered to independently manage your pipeline, exceed ambitious revenue targets, and drive product adoption across EMEA with some of the world's largest and best-known players. This is a high-velocity, individual contributor opportunity where extreme ownership and a very strong sense of urgency are required. You will be responsible for identifying, prospecting, and establishing opportunities with large global financial service providers (PSPs) and enterprise merchants. Your Impact in This Role: Drive Results with Urgency: Act with a fierce sense of urgency to accelerate the sales cycle. You will take absolute accountability for your individual outcomes, successfully managing the full sales cycle from prospecting to converting new Payment Service Provider (PSP), gateway, acquirer/processor, and enterprise merchant contracts Uncompromising Accountability: Independently manage your pipeline and drive product adoption and ongoing innovation, maintaining an uncompromising standard of accountability and proactive initiative Cross-Functional Collaboration: Collaborate extensively with the Sales Engineering team to effortlessly onboard new clients, and partner with Client Success and Marketing teams to deliver customer training and activation sessions without delays Relationship Building & Trust: Make connections with key influencers and decision-makers to drive immediate and long-term opportunities, and develop strategic customer plans for the efficient handover of accounts to Account Management teams What Would Make You a Great Fit: Urgency, Accountability & Ownership: A very strong sense of urgency is an absolute requirement for this role. You possess an unwavering strong sense of ownership and accountability, demonstrating the ability to maintain high levels of productivity, velocity, and focus with minimal supervision in an individual contributor capacity Experience & Track Record: A minimum of 5 years of payments experience in Sales and/or Business Development roles, with a proven record of high performance, consistently achieving outstanding results and delivering against targeted revenue metrics in a fast-paced environment Deep Industry Knowledge: A comprehensive understanding of the FinTech payments space-a broad view of how and where our solutions fit within the ecosystem, and how that is strategically important to our future positioning with PSPs and enterprise merchants Strategic & Analytical Acumen: Strong commercial, analytical, and quantitative skills are essential, with the ability to leverage data and analytics to drive actions, back up assumptions, suggestions, and swiftly optimize your sales approach Strong Communicator & Influencer: Excellent written and verbal communication skills, with the strong influencing skills to confidently engage diverse stakeholders, including technical teams, marketing, and C-level executives. You thrive in international environments, customizing your messaging based on the audience, and easily connecting with people from diverse backgrounds and cultures. Additional European language skills would be an advantage What's in it for you ?: Hybrid working - We offer a hybrid structure with a 3 days / week on site expectation, so you can strike the balance between office and home working. In addition to our 28-day holiday allowance, we also provide a work from abroad policy, enabling employees to work remotely for up to another 30 days per year Learning and Development - We offer a GBP 500 annual budget to support your professional growth-because investing in your development benefits us all. In addition, we provide leadership cafés, on-the-job training, and other opportunities to help you grow your skills and thrive in your role. Insurance - Because better safe than sorry - we want our employees to benefit from various insurances including a medical insurance (BUPA health care plan) and a 5% matching pension plan through Now Pensions. Enhance Family Leave - We understand the importance of family - that's why we offer enhanced family leave to support you during key life moments. Workplace Nursery Scheme - Save on childcare through salary exchange Gym membership - PPRO helpscontribute towardsthe costs of your gym membership, supporting your physical fitness journey while easing the burden on your wallet Mental Health Platform - We've teamed up with a top well-being platform to provide one on one therapy, chat therapy, therapist led courses, guided meditations, and more. Our HQ office on Procter Street, is a short walk from Holborn, Farringdon and Covent Garden so if you're a foodie there's plenty nearby. The office is befitting a tech business and is set up for cross team collaboration. Pet friendly office - Because work is better with your paw tners by your side Our Principles: We get things done: We are courageous; we take ownership, make decisions and get things done. We act with trust and integrity: We listen first and challenge respectfully. We seek out and leverage diverse perspectives. We welcome and offer honest and open feedback, always assuming positive intent We put the customer first: We are laser focused on delivering outstanding outcomes for our customers. We put the customer at the heart of what we do. We make things better: We boldly explore new ideas and have an unwavering commitment to continuous improvement. We work as a team: We collaborate closely and value team success over individual achievement.
Job Overview: This role sits within the Enterprise Data & Insights (EDI) team, supporting the development of our Enterprise Data Platform (EDP) within Arm Operations, we enable analytics for business teams through high-quality data products. You will work closely with Data Engineers, Analysts, and business stakeholders to deliver dashboards, data quality frameworks, and lightweight data applications that improve how data is accessed, understood, and used across the organisation. This is a hands on role focused on delivering impactful data solutions in Databricks, with a strong emphasis on user onboarding, data quality, and metric transparency. Responsibilities: Design and build dashboards in Databricks to support user onboarding, adoption, and business metrics Develop and maintain data quality monitoring and reporting frameworks Translate business requirements into clear, well structured data models and metrics Build and maintain reusable datasets and semantic layers to support consistent reporting Develop lightweight data applications (e.g. Streamlit) to enable improved interaction with data Work closely with Data Engineers to ensure data pipelines meet analytical and reporting needs Support onboarding of new users to the data platform, improving accessibility and usability Contribute to documentation and best practices across analytics and data product development Required Skills and Experience: Strong SQL skills and experience working with datasets Experience with Databricks (or similar modern data platforms) Working experience with Python (e.g. Pandas, PySpark) Experience building dashboards (Databricks SQL, Power BI, Tableau, or similar) Experience defining and working with business metrics and data models Ability to translate business requirements into analytical solutions Strong communication skills and ability to work with non technical stakeholders Nice To Have Skills and Experience: Experience building lightweight data applications (e.g. Streamlit, Dash) Familiarity with data quality frameworks and testing approaches Understanding of data engineering concepts (pipelines, orchestration, version control) Exposure to working in a product oriented or data platform environment In Return: This is a meaningful role in shaping our Enterprise Data Platform, with the opportunity to influence how data is accessed, trusted, and used across Arm Operations. Accommodations at Arm At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email . To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud, or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process. Hybrid Working at Arm Arm's approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team's needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you. Equal Opportunities at Arm Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don't discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Apr 17, 2026
Full time
Job Overview: This role sits within the Enterprise Data & Insights (EDI) team, supporting the development of our Enterprise Data Platform (EDP) within Arm Operations, we enable analytics for business teams through high-quality data products. You will work closely with Data Engineers, Analysts, and business stakeholders to deliver dashboards, data quality frameworks, and lightweight data applications that improve how data is accessed, understood, and used across the organisation. This is a hands on role focused on delivering impactful data solutions in Databricks, with a strong emphasis on user onboarding, data quality, and metric transparency. Responsibilities: Design and build dashboards in Databricks to support user onboarding, adoption, and business metrics Develop and maintain data quality monitoring and reporting frameworks Translate business requirements into clear, well structured data models and metrics Build and maintain reusable datasets and semantic layers to support consistent reporting Develop lightweight data applications (e.g. Streamlit) to enable improved interaction with data Work closely with Data Engineers to ensure data pipelines meet analytical and reporting needs Support onboarding of new users to the data platform, improving accessibility and usability Contribute to documentation and best practices across analytics and data product development Required Skills and Experience: Strong SQL skills and experience working with datasets Experience with Databricks (or similar modern data platforms) Working experience with Python (e.g. Pandas, PySpark) Experience building dashboards (Databricks SQL, Power BI, Tableau, or similar) Experience defining and working with business metrics and data models Ability to translate business requirements into analytical solutions Strong communication skills and ability to work with non technical stakeholders Nice To Have Skills and Experience: Experience building lightweight data applications (e.g. Streamlit, Dash) Familiarity with data quality frameworks and testing approaches Understanding of data engineering concepts (pipelines, orchestration, version control) Exposure to working in a product oriented or data platform environment In Return: This is a meaningful role in shaping our Enterprise Data Platform, with the opportunity to influence how data is accessed, trusted, and used across Arm Operations. Accommodations at Arm At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email . To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud, or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process. Hybrid Working at Arm Arm's approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team's needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you. Equal Opportunities at Arm Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don't discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Partnered with a UK wide Digital Transformation Consultancy who are going through an intense ramp up in the Data Engineering space with a wealth of new ground-breaking projects across the Public and Private sectors looking for multiple Senior Data Engineering Consultants across the Bristol and London regions. Role Requirements Act as SME specifically in leading, designing and implementing data solutions that meet key business requirements. Support Architects in realising Data system design such as Meshes, Warehouses and event based systems. Implement Data flows to connect operational systems and Data Analytics for business intelligence systems. Re Engineer, develop and optimise code ensuring processes run optimally. Communicate and ensure best Data Engineering practises internally and with clients. Provide support where applicable to consultants in their professional development. Experience required Proven track record in Snowflake, Python, AWS, DBT and Terraform. Broad knowledge across cloud architectures, networking and distributed computing systems. Data system design such as Data Lakes, Data Meshes and Data Warehouses. Proven track record working directly with Clients or Consulting experience. Infrastructure delivery on any Data platform including Snowflake, Elastic, Databricks, Splunk. If you are open to exploring new opportunities and would like to know more information feel free to reach out with your latest CV and availability for a call to
Apr 17, 2026
Full time
Partnered with a UK wide Digital Transformation Consultancy who are going through an intense ramp up in the Data Engineering space with a wealth of new ground-breaking projects across the Public and Private sectors looking for multiple Senior Data Engineering Consultants across the Bristol and London regions. Role Requirements Act as SME specifically in leading, designing and implementing data solutions that meet key business requirements. Support Architects in realising Data system design such as Meshes, Warehouses and event based systems. Implement Data flows to connect operational systems and Data Analytics for business intelligence systems. Re Engineer, develop and optimise code ensuring processes run optimally. Communicate and ensure best Data Engineering practises internally and with clients. Provide support where applicable to consultants in their professional development. Experience required Proven track record in Snowflake, Python, AWS, DBT and Terraform. Broad knowledge across cloud architectures, networking and distributed computing systems. Data system design such as Data Lakes, Data Meshes and Data Warehouses. Proven track record working directly with Clients or Consulting experience. Infrastructure delivery on any Data platform including Snowflake, Elastic, Databricks, Splunk. If you are open to exploring new opportunities and would like to know more information feel free to reach out with your latest CV and availability for a call to
Temporary Senior Data Engineer (Grade E3) Application Deadline: 19 April 2026 Department: Corporate Services Employment Type: Fixed Term - Full Time Location: Edinburgh - Hybrid Reporting To: Head of Data Engineering Compensation: Grade E3 from £48,249 to £56,166 salary per annum. Civil Service Pension. Flexible Working Hours. Hybrid Working. Up to £5K Recruitment and Retention Allowance. Description At Scottish Funding Council, we're embarking on an exciting digital transformation to redefine how we use data to drive innovation and deliver exceptional value to our customers. Central to this journey is the creation of the Azure based data ecosystem, enabling us to unlock the full potential of our data through transformative and intelligent solutions. Our Data Engineering team plays a pivotal role in this mission. We manage the entire data lifecycle, from integrating diverse data sources and optimizing storage and processing pipelines to delivering actionable insights, while ensuring compliance with company standards and data protection regulations. As a Senior Data Engineer, you will be a technical leader within this dynamic team, driving innovation and engineering excellence. You'll work closely with teams across the organisation, including Analytics and Cloud Engineering, to cultivate a data driven culture and lead initiatives that turn data into a powerful tool for transformation. This role offers a unique opportunity to shape the future of post 16 education in Scotland. By delivering innovative, data driven solutions, you will enable institutions, and policymakers to make informed decisions, enhance learning outcomes, and create opportunities that empower students to thrive in an increasingly data centric world. We expect that this role will end in February 2027. Key Responsibilities Lead the delivery of data products and services, leading their design and providing clear visibility of delivery progress and risks to support analytics, reporting and decision making. Build and maintain data pipelines and the underlying data platform, ensuring they are production ready, reliable and efficient. Apply and contribute to data architecture and engineering standards and best practices, improving consistency and quality across the team. Ensure data quality, governance, security, and regulatory requirements are addressed as part of solution design, delivery, and support. Work with stakeholders to understand requirements and turn them into practical data solutions. Support the development of others through mentoring, peer reviews, knowledge sharing, and support. Contribute to the ongoing improvement of the data platform and overall data maturity, identifying opportunities to improve how data is used across the organisation and contributing to roadmaps. Skills, Knowledge and Expertise It is important through your CV / Cover Letter that you give evidence of proven experience of each of the following essential criteria: Essential Proven track record of designing, developing and delivering enterprise scale data platforms and data products in a cloud environment (ideally Microsoft Azure). Ability to build and support reliable and scalable data products, with an understanding of performance and maintainability. Advanced proficiency in SQL and modern data processing frameworks, coupled with strong programming skills in at least one language (Python preferred). Expertise applying data modelling and architecture approaches, including dimensional modelling, data warehousing patterns. Hands on experience working with CI/CD and DevOps practices for data engineering, including version control, automated testing and deployment pipelines to support continuous delivery. Understanding and application of data governance principles, including data quality, lineage, meta data and security controls. Experience delivering integration or migration initiatives, particularly involving legacy systems and modern data platforms. Strong analytical capability, including data profiling, source system analysis supporting data solution design and insights. Experience supporting or mentoring data engineers, including line management or informal coaching, promoting data engineering best practice and contributing to standards. Demonstrated ownership of technical delivery of data solutions across the lifecycle, leading implementation from discovery, requirements gathering, through to production. Strong stakeholder communication and engagement skills, including the ability to explain technical concepts to non-technical audiences. Desirable Degree level education (SCQF level 9) or equivalent experience, ideally in a technical field such as Computer Science, Mathematics or Physics. Significant exposure to Azure utilising some of the following: Azure Synapse Analytics, Azure SQL, Azure Data Factory, Databricks, Microsoft Fabric, Azure Data Lake, Azure DevOps and PowerBI. Azure Data Engineer Associate certification or higher OR Azure AI Engineer Associate certification or higher. Terms and Benefits Normal full time hours of work are 35 per week. We will consider flexible working arrangements. A flexi time system is in operation. Annual leave entitlement of 30 days pro rata, plus public and privilege holiday entitlement of 13 days pro rata. A flexible approach to hybrid working, giving you flexibility to work from home anywhere in the UK for some of the time while also maintaining regular in person contact with colleagues. Annual pay review: approved within the framework of the Scottish Government's Public Sector Pay Policy and negotiated with our recognised trade union, Unite. Salaries are reviewed annually in April for employees who commence employment prior to 1 October in the preceding year. Eligibility to join the Civil Service Pension Scheme. With its low member contribution rates and generous employer contributions, this gives you a secure, inflation proof pension for life with no investment uncertainty. Details of contribution rates together with further details of the pension benefits are available on the Civil Service Pensions website. There is also the option of a Partnership pension account. Support for continuous professional development: as a part of SFC, we are dedicated to providing comprehensive support for continuous learning and professional development. Civil Service Learning curriculum has thoughtfully designed to cater to various learning preferences, allowing employees to engage in a manner that best suits their needs. All our educational resources are conveniently accessible through the CSL website. Support for health and wellbeing, including generous occupational sick pay, free access to confidential advice and support through our 24/7 Employee Assistance Programme, Special Leave (paid and unpaid), a contribution to learning outside work through our Lifelong Learning Fund, free winter flu vaccination, and access to occupational health support. We provide support to SFC employees with Volunteering Days. Support for travel to and from work, including a salary sacrifice cycle loan scheme, cycle storage and shower facilities, an interest free loan for bus or rail season tickets and free office car parking for employees on a first come basis. Although most salaried roles are advertised as full time positions (35 hours a week), we are happy to discuss part time or compressed hours to suit a candidate's circumstances. We also operate a flexible working scheme to work around a candidate's other commitments such as caring responsibilities. We will consider secondment applications for most salaried fixed term or temporary positions and in many cases also for salaried permanent positions. If you are interested in applying on a secondment basis and this option is not explicitly mentioned in the job advert, please contact for further information. This role has been identified and will be funded by The Scottish Government to support the smooth transition of the Tertiary Education and Training (TET) Bill. This will enable SFC to continue delivering key priorities including the smooth transfer of the funding, development and delivery of national training programmes, including apprenticeships, from Skills Development Scotland (SDS) to the Scottish Funding Council (SFC).
Apr 17, 2026
Full time
Temporary Senior Data Engineer (Grade E3) Application Deadline: 19 April 2026 Department: Corporate Services Employment Type: Fixed Term - Full Time Location: Edinburgh - Hybrid Reporting To: Head of Data Engineering Compensation: Grade E3 from £48,249 to £56,166 salary per annum. Civil Service Pension. Flexible Working Hours. Hybrid Working. Up to £5K Recruitment and Retention Allowance. Description At Scottish Funding Council, we're embarking on an exciting digital transformation to redefine how we use data to drive innovation and deliver exceptional value to our customers. Central to this journey is the creation of the Azure based data ecosystem, enabling us to unlock the full potential of our data through transformative and intelligent solutions. Our Data Engineering team plays a pivotal role in this mission. We manage the entire data lifecycle, from integrating diverse data sources and optimizing storage and processing pipelines to delivering actionable insights, while ensuring compliance with company standards and data protection regulations. As a Senior Data Engineer, you will be a technical leader within this dynamic team, driving innovation and engineering excellence. You'll work closely with teams across the organisation, including Analytics and Cloud Engineering, to cultivate a data driven culture and lead initiatives that turn data into a powerful tool for transformation. This role offers a unique opportunity to shape the future of post 16 education in Scotland. By delivering innovative, data driven solutions, you will enable institutions, and policymakers to make informed decisions, enhance learning outcomes, and create opportunities that empower students to thrive in an increasingly data centric world. We expect that this role will end in February 2027. Key Responsibilities Lead the delivery of data products and services, leading their design and providing clear visibility of delivery progress and risks to support analytics, reporting and decision making. Build and maintain data pipelines and the underlying data platform, ensuring they are production ready, reliable and efficient. Apply and contribute to data architecture and engineering standards and best practices, improving consistency and quality across the team. Ensure data quality, governance, security, and regulatory requirements are addressed as part of solution design, delivery, and support. Work with stakeholders to understand requirements and turn them into practical data solutions. Support the development of others through mentoring, peer reviews, knowledge sharing, and support. Contribute to the ongoing improvement of the data platform and overall data maturity, identifying opportunities to improve how data is used across the organisation and contributing to roadmaps. Skills, Knowledge and Expertise It is important through your CV / Cover Letter that you give evidence of proven experience of each of the following essential criteria: Essential Proven track record of designing, developing and delivering enterprise scale data platforms and data products in a cloud environment (ideally Microsoft Azure). Ability to build and support reliable and scalable data products, with an understanding of performance and maintainability. Advanced proficiency in SQL and modern data processing frameworks, coupled with strong programming skills in at least one language (Python preferred). Expertise applying data modelling and architecture approaches, including dimensional modelling, data warehousing patterns. Hands on experience working with CI/CD and DevOps practices for data engineering, including version control, automated testing and deployment pipelines to support continuous delivery. Understanding and application of data governance principles, including data quality, lineage, meta data and security controls. Experience delivering integration or migration initiatives, particularly involving legacy systems and modern data platforms. Strong analytical capability, including data profiling, source system analysis supporting data solution design and insights. Experience supporting or mentoring data engineers, including line management or informal coaching, promoting data engineering best practice and contributing to standards. Demonstrated ownership of technical delivery of data solutions across the lifecycle, leading implementation from discovery, requirements gathering, through to production. Strong stakeholder communication and engagement skills, including the ability to explain technical concepts to non-technical audiences. Desirable Degree level education (SCQF level 9) or equivalent experience, ideally in a technical field such as Computer Science, Mathematics or Physics. Significant exposure to Azure utilising some of the following: Azure Synapse Analytics, Azure SQL, Azure Data Factory, Databricks, Microsoft Fabric, Azure Data Lake, Azure DevOps and PowerBI. Azure Data Engineer Associate certification or higher OR Azure AI Engineer Associate certification or higher. Terms and Benefits Normal full time hours of work are 35 per week. We will consider flexible working arrangements. A flexi time system is in operation. Annual leave entitlement of 30 days pro rata, plus public and privilege holiday entitlement of 13 days pro rata. A flexible approach to hybrid working, giving you flexibility to work from home anywhere in the UK for some of the time while also maintaining regular in person contact with colleagues. Annual pay review: approved within the framework of the Scottish Government's Public Sector Pay Policy and negotiated with our recognised trade union, Unite. Salaries are reviewed annually in April for employees who commence employment prior to 1 October in the preceding year. Eligibility to join the Civil Service Pension Scheme. With its low member contribution rates and generous employer contributions, this gives you a secure, inflation proof pension for life with no investment uncertainty. Details of contribution rates together with further details of the pension benefits are available on the Civil Service Pensions website. There is also the option of a Partnership pension account. Support for continuous professional development: as a part of SFC, we are dedicated to providing comprehensive support for continuous learning and professional development. Civil Service Learning curriculum has thoughtfully designed to cater to various learning preferences, allowing employees to engage in a manner that best suits their needs. All our educational resources are conveniently accessible through the CSL website. Support for health and wellbeing, including generous occupational sick pay, free access to confidential advice and support through our 24/7 Employee Assistance Programme, Special Leave (paid and unpaid), a contribution to learning outside work through our Lifelong Learning Fund, free winter flu vaccination, and access to occupational health support. We provide support to SFC employees with Volunteering Days. Support for travel to and from work, including a salary sacrifice cycle loan scheme, cycle storage and shower facilities, an interest free loan for bus or rail season tickets and free office car parking for employees on a first come basis. Although most salaried roles are advertised as full time positions (35 hours a week), we are happy to discuss part time or compressed hours to suit a candidate's circumstances. We also operate a flexible working scheme to work around a candidate's other commitments such as caring responsibilities. We will consider secondment applications for most salaried fixed term or temporary positions and in many cases also for salaried permanent positions. If you are interested in applying on a secondment basis and this option is not explicitly mentioned in the job advert, please contact for further information. This role has been identified and will be funded by The Scottish Government to support the smooth transition of the Tertiary Education and Training (TET) Bill. This will enable SFC to continue delivering key priorities including the smooth transfer of the funding, development and delivery of national training programmes, including apprenticeships, from Skills Development Scotland (SDS) to the Scottish Funding Council (SFC).
Role: Data Engineer Location: Ipswich/London - (1 day a fortnight) Salary: Up to £80,000 DOE We're partnering with a growing, tech-driven business that's investing heavily in its data platform and looking for an AWS Data Engineer to play a key role in its evolution. This is a genuinely exciting opportunity to take ownership of an existing AWS data environment and shape it into a scalable, best-in-class platform that supports real business decisions across Product, Finance, and Operations. You'll be working hands on with tools like S3, Glue, Lambda, Athena and Redshift, building and optimising data pipelines, integrating API data sources, and delivering high-quality datasets for analytics and reporting. There's also scope to work on visualisation (QuickSight) and influence how data is used across the organisation. What makes this role stand out is the level of ownership-you'll have the freedom to improve architecture, introduce best practices, and directly impact how the platform scales. The environment is collaborative, supportive, and flexible, with strong investment in learning and development. If you're someone who enjoys solving problems, improving systems, and working with modern AWS data tools, reach out to Fintan at TEC Partners for all of the details.
Apr 17, 2026
Full time
Role: Data Engineer Location: Ipswich/London - (1 day a fortnight) Salary: Up to £80,000 DOE We're partnering with a growing, tech-driven business that's investing heavily in its data platform and looking for an AWS Data Engineer to play a key role in its evolution. This is a genuinely exciting opportunity to take ownership of an existing AWS data environment and shape it into a scalable, best-in-class platform that supports real business decisions across Product, Finance, and Operations. You'll be working hands on with tools like S3, Glue, Lambda, Athena and Redshift, building and optimising data pipelines, integrating API data sources, and delivering high-quality datasets for analytics and reporting. There's also scope to work on visualisation (QuickSight) and influence how data is used across the organisation. What makes this role stand out is the level of ownership-you'll have the freedom to improve architecture, introduce best practices, and directly impact how the platform scales. The environment is collaborative, supportive, and flexible, with strong investment in learning and development. If you're someone who enjoys solving problems, improving systems, and working with modern AWS data tools, reach out to Fintan at TEC Partners for all of the details.
A leading rail technology company seeks a Data Engineer in Greater London to enhance data accessibility and insights. Responsibilities include building data pipelines, working with AWS and Airflow, and collaborating in cross-functional teams. Ideal candidates have strong SQL and Python skills, with experience in Agile and data lakes. This position includes excellent benefits such as private healthcare and a hybrid work model, accommodating working from the office 60% of the time.
Apr 17, 2026
Full time
A leading rail technology company seeks a Data Engineer in Greater London to enhance data accessibility and insights. Responsibilities include building data pipelines, working with AWS and Airflow, and collaborating in cross-functional teams. Ideal candidates have strong SQL and Python skills, with experience in Agile and data lakes. This position includes excellent benefits such as private healthcare and a hybrid work model, accommodating working from the office 60% of the time.
Data Engineer, Strategic Account Services Job ID: Amazon EU SARL (UK Branch) - D67 What is the Amazon Marketplace? Amazon is the largest marketplace on earth. Millions of customers shop in Amazon's marketplaces globally. Every day, customers browse, purchase, and review products sold by third party (3P) sellers right alongside products sold by Amazon. Since 2000, Amazon welcomes companies of all sizes to offer their products, helping them reach hundreds of millions of customers, build their brands, and grow their business. What is Amazon Strategic Account Services (SAS)? With increasing complexity of today's eCommerce and rise of opportunities, the SAS Team aims to leverage the full potential of each Amazon selling partner. Our team provides in-depth strategic consultancy using a data driven, collaborative, and customer focused approach to achieve commercial goals of our sellers. What is the role of a Data Engineer? As a Data Engineer, you'll build and maintain the robust foundations that power our data driven organization. You'll design and implement scalable, secure, and efficient data architectures with a strong focus on data quality and governance. Working with technologies in cloud computing and big data, you'll create reliable data pipelines and establish data standards that ensure the integrity and accessibility of our data products. Your focus on building maintainable solutions and establishing strong data governance frameworks will create the trusted data foundation that enables advanced analytics and machine learning capabilities across our organization. Key job responsibilities Design and implement complex data pipelines and models Develop new data processing patterns and frameworks Drive end-to-end delivery of scalable data solutions Optimize performance and reliability of data infrastructure Lead technical design and implementation Create robust data quality and monitoring solutions Mentor junior team members in data engineering Basic Qualifications Bachelor's degree Experience with data modeling, warehousing and building ETL pipelines Experience with SQL Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS Experience with big data technologies such as Hadoop, Hive, Spark, EMR Preferred Qualifications Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions Experience providing technical leadership and mentoring other engineers for best practices on data engineering Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Apr 17, 2026
Full time
Data Engineer, Strategic Account Services Job ID: Amazon EU SARL (UK Branch) - D67 What is the Amazon Marketplace? Amazon is the largest marketplace on earth. Millions of customers shop in Amazon's marketplaces globally. Every day, customers browse, purchase, and review products sold by third party (3P) sellers right alongside products sold by Amazon. Since 2000, Amazon welcomes companies of all sizes to offer their products, helping them reach hundreds of millions of customers, build their brands, and grow their business. What is Amazon Strategic Account Services (SAS)? With increasing complexity of today's eCommerce and rise of opportunities, the SAS Team aims to leverage the full potential of each Amazon selling partner. Our team provides in-depth strategic consultancy using a data driven, collaborative, and customer focused approach to achieve commercial goals of our sellers. What is the role of a Data Engineer? As a Data Engineer, you'll build and maintain the robust foundations that power our data driven organization. You'll design and implement scalable, secure, and efficient data architectures with a strong focus on data quality and governance. Working with technologies in cloud computing and big data, you'll create reliable data pipelines and establish data standards that ensure the integrity and accessibility of our data products. Your focus on building maintainable solutions and establishing strong data governance frameworks will create the trusted data foundation that enables advanced analytics and machine learning capabilities across our organization. Key job responsibilities Design and implement complex data pipelines and models Develop new data processing patterns and frameworks Drive end-to-end delivery of scalable data solutions Optimize performance and reliability of data infrastructure Lead technical design and implementation Create robust data quality and monitoring solutions Mentor junior team members in data engineering Basic Qualifications Bachelor's degree Experience with data modeling, warehousing and building ETL pipelines Experience with SQL Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS Experience with big data technologies such as Hadoop, Hive, Spark, EMR Preferred Qualifications Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions Experience providing technical leadership and mentoring other engineers for best practices on data engineering Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
About us We are champions of rail, inspired to build a greener, more sustainable future of travel. Trainline enables millions of travellers to find and book the best value tickets across carriers, fares, and journey options through our highly rated mobile app, website, and B2B partner channels. Great journeys start with Trainline Now Europe's number 1 downloaded rail app, with over 125 million monthly visits and £5.9 billion in annual ticket sales, we collaborate with 270+ rail and coach companies in over 40 countries. We want to create a world where travel is as simple, seamless, eco-friendly and affordable as it should be. Introducing Data Engineering at Trainline At the heart of our Data Team, Data Engineers play a pivotal role by creating pipelines and tables that power impactful dashboards, enable self-service analytics, and support innovative machine learning models and real-time data products. As a Data Engineer, you will be involved in engineering pipelines that will drive key decisions and give data science powerful datasets to enable and drive new business insights. Data Engineers work alongside BI Developers and Data Scientists in cross-functional teams with key impacts and visions. As a department, we strive to give our Data Engineers high levels of autonomy and freedom to innovate and continually refine their technical and soft skills with clear progression plans and training opportunities with Data Camp! As a Data Engineer at Trainline, you will Be key to making our data lake more accessible and insightful breaking down the barriers to access by working on new data marts and designing data models that even the most basic SQL users can use Build data pipelines with Spark or DBT Use SQL to transform data into meaningful insights Build and deploy infrastructure with Terraform Implement DDL, DML with Iceberg Do code reviews for your peers Orchestrate your pipelines with DAGs on Airflow Participate in SCRUM ceremonies (standups, backlogs, demos, retros, planning) Secure data with IAM and AWS Lake formation Deploy your changes with Jenkins and GitHub actions We'd love to hear from you if you have Proven experience as a Data Engineering using SQL and Python Previous experience with data lakes in AWS, Glue Catalog and Athena (or equivalent) Good experience with DBT Capable of using popular data modelling tools to create a diagram of proposed tables to enable discussion Good communicator and comfortable with presenting ideas and outputs to technical and non-technical users Worked on Apache Airflow before to create DAGS Ability to work within Agile, considering minimum viable products, story pointing and sprints More information: Enjoy fantastic perks like private healthcare & dental insurance, a generous work from abroad policy, 2-for-1 share purchase plans, an EV Scheme to further reduce carbon emissions, extra festive time off, and excellent family-friendly benefits. We prioritise career growth with clear career paths, transparent pay bands, personal learning budgets, and regular learning days. Jump on board and supercharge your career from day one! We're operate a hybrid model to work and ask that Trainliners work from the office a minimum of 60% of their time over a 12-week period. We also have a 28-day Work from Abroad policy. Our values represent the things that matter most to us and what we live and breathe everyday, in everything we do: Think Big - We're building the future of rail ️ Own It - We focus on every customer, partner and journey Travel Together - We're one team ️ Do Good - We make a positive impact We know that having a diverse team makes us better and helps us succeed. And we mean all forms of diversity - gender, ethnicity, sexuality, disability, nationality and diversity of thought. That's why we're committed to creating inclusive places to work, where everyone belongs and differences are valued and celebrated. Interested in finding out more about what it's like to work at Trainline? Why not check us out on LinkedIn, Instagram and Glassdoor!
Apr 17, 2026
Full time
About us We are champions of rail, inspired to build a greener, more sustainable future of travel. Trainline enables millions of travellers to find and book the best value tickets across carriers, fares, and journey options through our highly rated mobile app, website, and B2B partner channels. Great journeys start with Trainline Now Europe's number 1 downloaded rail app, with over 125 million monthly visits and £5.9 billion in annual ticket sales, we collaborate with 270+ rail and coach companies in over 40 countries. We want to create a world where travel is as simple, seamless, eco-friendly and affordable as it should be. Introducing Data Engineering at Trainline At the heart of our Data Team, Data Engineers play a pivotal role by creating pipelines and tables that power impactful dashboards, enable self-service analytics, and support innovative machine learning models and real-time data products. As a Data Engineer, you will be involved in engineering pipelines that will drive key decisions and give data science powerful datasets to enable and drive new business insights. Data Engineers work alongside BI Developers and Data Scientists in cross-functional teams with key impacts and visions. As a department, we strive to give our Data Engineers high levels of autonomy and freedom to innovate and continually refine their technical and soft skills with clear progression plans and training opportunities with Data Camp! As a Data Engineer at Trainline, you will Be key to making our data lake more accessible and insightful breaking down the barriers to access by working on new data marts and designing data models that even the most basic SQL users can use Build data pipelines with Spark or DBT Use SQL to transform data into meaningful insights Build and deploy infrastructure with Terraform Implement DDL, DML with Iceberg Do code reviews for your peers Orchestrate your pipelines with DAGs on Airflow Participate in SCRUM ceremonies (standups, backlogs, demos, retros, planning) Secure data with IAM and AWS Lake formation Deploy your changes with Jenkins and GitHub actions We'd love to hear from you if you have Proven experience as a Data Engineering using SQL and Python Previous experience with data lakes in AWS, Glue Catalog and Athena (or equivalent) Good experience with DBT Capable of using popular data modelling tools to create a diagram of proposed tables to enable discussion Good communicator and comfortable with presenting ideas and outputs to technical and non-technical users Worked on Apache Airflow before to create DAGS Ability to work within Agile, considering minimum viable products, story pointing and sprints More information: Enjoy fantastic perks like private healthcare & dental insurance, a generous work from abroad policy, 2-for-1 share purchase plans, an EV Scheme to further reduce carbon emissions, extra festive time off, and excellent family-friendly benefits. We prioritise career growth with clear career paths, transparent pay bands, personal learning budgets, and regular learning days. Jump on board and supercharge your career from day one! We're operate a hybrid model to work and ask that Trainliners work from the office a minimum of 60% of their time over a 12-week period. We also have a 28-day Work from Abroad policy. Our values represent the things that matter most to us and what we live and breathe everyday, in everything we do: Think Big - We're building the future of rail ️ Own It - We focus on every customer, partner and journey Travel Together - We're one team ️ Do Good - We make a positive impact We know that having a diverse team makes us better and helps us succeed. And we mean all forms of diversity - gender, ethnicity, sexuality, disability, nationality and diversity of thought. That's why we're committed to creating inclusive places to work, where everyone belongs and differences are valued and celebrated. Interested in finding out more about what it's like to work at Trainline? Why not check us out on LinkedIn, Instagram and Glassdoor!
About us HDI is a Corporate & Specialty Insurer part of the Talanx Group. With over 120 years of experience, HDI operates across five continents, around 40 countries and employs over 5,000 people worldwide. The role The Data Engineer is responsible for designing, building, and maintaining robust, scalable data pipelines and cloud based data infrastructure to support analytics, reporting, data modelling, underwriting insights, and regulatory needs across HDI UK&I. This role ensures timely, trusted, well structured data delivery into appropriate data marts & warehouses, and downstream data feeds which are used by Actuarial, Finance, Operations, and Underwriting. The position forms a core part of HDI's data transformation agenda, enabling improved decision making, automation, and analytics maturity. Key accountabilities Design, develop, and maintain end to end ingestion pipelines into appropriate data technologies such as Snowflake from internal systems (policy admin, claims, finance) and external data sources. Build orchestrated ELT/ETL processes using modern tooling and best practice engineering patterns. Implement incremental refresh, schema evolution management, and data validation tests. Ensure data availability aligned to business SLAs (e.g., daily refresh for actuarial & finance repositories). Data Modelling & Warehouse Development Create well structured dimensional and relational data models for analytical use cases. Develop canonical, reusable datasets (curated marts) for Analytics, Actuarial, and Finance. Own the technical modelling layer in Snowflake including schema design, performance optimisation, cost control, and warehouse governance. Collaborate closely with Analytics Engineers using dbt, ensuring transformations are production grade, tested, and fully documented. Data Quality, Testing & Governance Implement automated testing suites, data contracts, lineage, and monitoring frameworks. Partner with Data Governance to embed quality rules, SLAs, and metadata standards into pipelines. Resolve data quality issues proactively and own improvements to source to target data flows. Cross Functional Collaboration Work with business areas as needed to supply structured data sets for relevant business processes. Drive the building of automated, trusted data feeds for analytics requirements. Partner with Data Analysts to accelerate dashboarding and advanced analytics. Collaborate with Technology teams to ensure secure, reliable platform operation. Optimise Snowflake/SQL/Python query performance, warehouse sizing, storage costs, and compute efficiency. Implement workload separation, time travel optimisation, clustering, and pruning strategies. Documentation & Knowledge Sharing Produce comprehensive documentation for pipelines, data models, data flows, and architecture components. Provide technical guidance to junior team members and evangelise engineering best practices. Skills & experience Technical Skills Expert SQL engineering capability Advanced experience with schemas, warehouses, stages, tasks, streams, performance tuning. Experience of modern transformation frameworks (Snowflake/DBT preferred - but not essential) Python for scripting, automation, and orchestration. Experience with CICD pipelines (GitHub Actions / Azure DevOps), code reviews, and versioning. Strong understanding of data modelling, data warehousing patterns, and ELT best practice. Familiarity with PowerBI or BI model structures to support downstream analytics. Cloud platform experience (Azure preferred). Business & Domain Skills Prior experience in insurance, especially commercial/specialty lines, claims, actuarial or finance data structures Understanding of regulatory expectations around data quality, lineage, and auditability (desired but not essential) Professional: Degree in Computer Science, Engineering, Mathematics or similar (or equivalent professional experience). dbt certification beneficial. Snowflake certifications advantageous. Other As an equal opportunities employer, we are committed to creating an inclusive environment for all employees, recognising that a diverse and inclusive workplace is a creative and prosperous one. If you require support with your application, please contact UK&.
Apr 17, 2026
Full time
About us HDI is a Corporate & Specialty Insurer part of the Talanx Group. With over 120 years of experience, HDI operates across five continents, around 40 countries and employs over 5,000 people worldwide. The role The Data Engineer is responsible for designing, building, and maintaining robust, scalable data pipelines and cloud based data infrastructure to support analytics, reporting, data modelling, underwriting insights, and regulatory needs across HDI UK&I. This role ensures timely, trusted, well structured data delivery into appropriate data marts & warehouses, and downstream data feeds which are used by Actuarial, Finance, Operations, and Underwriting. The position forms a core part of HDI's data transformation agenda, enabling improved decision making, automation, and analytics maturity. Key accountabilities Design, develop, and maintain end to end ingestion pipelines into appropriate data technologies such as Snowflake from internal systems (policy admin, claims, finance) and external data sources. Build orchestrated ELT/ETL processes using modern tooling and best practice engineering patterns. Implement incremental refresh, schema evolution management, and data validation tests. Ensure data availability aligned to business SLAs (e.g., daily refresh for actuarial & finance repositories). Data Modelling & Warehouse Development Create well structured dimensional and relational data models for analytical use cases. Develop canonical, reusable datasets (curated marts) for Analytics, Actuarial, and Finance. Own the technical modelling layer in Snowflake including schema design, performance optimisation, cost control, and warehouse governance. Collaborate closely with Analytics Engineers using dbt, ensuring transformations are production grade, tested, and fully documented. Data Quality, Testing & Governance Implement automated testing suites, data contracts, lineage, and monitoring frameworks. Partner with Data Governance to embed quality rules, SLAs, and metadata standards into pipelines. Resolve data quality issues proactively and own improvements to source to target data flows. Cross Functional Collaboration Work with business areas as needed to supply structured data sets for relevant business processes. Drive the building of automated, trusted data feeds for analytics requirements. Partner with Data Analysts to accelerate dashboarding and advanced analytics. Collaborate with Technology teams to ensure secure, reliable platform operation. Optimise Snowflake/SQL/Python query performance, warehouse sizing, storage costs, and compute efficiency. Implement workload separation, time travel optimisation, clustering, and pruning strategies. Documentation & Knowledge Sharing Produce comprehensive documentation for pipelines, data models, data flows, and architecture components. Provide technical guidance to junior team members and evangelise engineering best practices. Skills & experience Technical Skills Expert SQL engineering capability Advanced experience with schemas, warehouses, stages, tasks, streams, performance tuning. Experience of modern transformation frameworks (Snowflake/DBT preferred - but not essential) Python for scripting, automation, and orchestration. Experience with CICD pipelines (GitHub Actions / Azure DevOps), code reviews, and versioning. Strong understanding of data modelling, data warehousing patterns, and ELT best practice. Familiarity with PowerBI or BI model structures to support downstream analytics. Cloud platform experience (Azure preferred). Business & Domain Skills Prior experience in insurance, especially commercial/specialty lines, claims, actuarial or finance data structures Understanding of regulatory expectations around data quality, lineage, and auditability (desired but not essential) Professional: Degree in Computer Science, Engineering, Mathematics or similar (or equivalent professional experience). dbt certification beneficial. Snowflake certifications advantageous. Other As an equal opportunities employer, we are committed to creating an inclusive environment for all employees, recognising that a diverse and inclusive workplace is a creative and prosperous one. If you require support with your application, please contact UK&.
About Intent HQ Recognised by the Financial Times as one of the FT1000 Fast Growing Companies in Europe (), and winners of both Analytics Company of the Year 2025 and AI Company of the Year 2024 at the British Data Awards, Intent HQ is a leader and innovator in Customer AI Analytics and Data Science. Backed by strong investors and trusted by a blue chip international enterprise customer base, our mission is to become the world's preeminent Customer Intent Engine by combining privacy first signal intelligence, proprietary behavioural AI/ML analytics, and uniquely accessible enterprise insights into a single platform that enables organisations to build more genuine, sustainable, and profitable relationships with customers. We began by solving complex challenges for clients in the telecommunications sector, including Verizon, O2, and Orange, and have since expanded into Financial Services, Retail, and Social Media, with clients such as HB Reavis and Zurich Group. Our clients typically manage tens of millions of customers and process billions of interactions daily. Our platform is purpose built to handle data at this enormous scale efficiently, delivering tangible results. What sets us apart is our focus on deep customer interaction data, doing the hard, specialised work so our clients can focus on applying insight to their business strategies. Today, Intent HQ is home to an exciting, diverse, and fast growing team of 100+ people across London, Barcelona, Lisbon, Tel Aviv, New York, South Africa & India, collectively speaking over 15 languages. Recent Awards & Recognition: Best AI Ethics & Diversity Award 2025 - AI World Series Awards AI Business of the Year 2025 - The National AI Awards Analytics Company of the Year 2025 - British Data Awards AI Company of the Year 2024 - British Data Awards FT1000 Europe's Fastest Growing Companies - Financial Times & Statista Top 100 Edge Computing Company 2024 - STL Partners Why Join Us: Exciting Work Environment: Work on cutting edge technology at the intersection of AI and data analytics. Impactful Role shaping how the company moves forward Growth Opportunities: Advance your career in a fast paced, innovative industry Hybrid role: 3 days per week in our state of the art London office plus access to the onsite gym (including towel serviced showers and changing facilities) The Opportunity The AI Orchestration Architect is a hybrid business & technical role responsible for designing, building, and optimising intelligent AI systems composed of agents, workflows, and prompts-while simultaneously supporting the organisational transformation required to make these systems successful. You will sit at the intersection of multi agent orchestration, workflow design, prompt engineering, and organisational change. You will be our technical expert on agentic systems, but equally, you will be a change champion and trusted partner to stakeholders across the business as we transition to AI native operations where humans and agents work seamlessly together. You will translate ambiguous human goals into precise AI instructions, architect reusable frameworks, ensure AI agents collaborate safely and efficiently at scale, and help the organisation build the capabilities and confidence to embrace new ways of working. This role is critical to scaling AI driven automation while maintaining clarity, quality, and performance-and to bringing people along on the journey. Key Responsibilities Agent Architecture & Orchestration Design and maintain AI agent networks-roles, capabilities, handoff logic, and how agents interact with each other and humans. Build modular, reusable agent components and establish interaction protocols (delegation, escalation, safety guardrails). Ensure agents operate within clear boundaries and meet governance and compliance standards. Continuously evaluate and improve orchestration patterns based on real world performance. Prompt Engineering & Framework Management Design prompt chains for multi step and multi agent workflows. Build and maintain centralised prompt/agent libraries with versioning and testing frameworks. Translate business requirements into reliable, structured AI instructions. Establish quality standards and maintain auditable records of changes and experiments. Monitoring & Continuous Improvement Monitor agent behaviour, system health, and performance in production. Detect emergent behaviours-both beneficial and risky-and intervene proactively. Run experiments and A/B tests; lead post mortems to extract learnings and improve reliability. Connect technical improvements to measurable business outcomes. Enablement & Change Management As part of your team's mandate, champion the organisation's transition to AI native operations where humans and agents work seamlessly together. Design and deliver training on human AI collaboration. Help teams reimagine their processes and identify opportunities for AI augmentation. Build enthusiasm through clear communication and demonstrated value. Stakeholder Partnership Build trusted relationships across teams (product, engineering, operations, and leadership). Translate complex technical concepts for non technical audiences. Align competing priorities and bring diverse perspectives toward shared goals. Keep leadership informed on system performance, transformation progress, and emerging opportunities. About You You will thrive in this role if you are: A technical expert who can also lead change: You're deeply skilled in building AI systems, but you understand that technology alone doesn't drive transformation-people do. You're as comfortable coaching a colleague as you are debugging a prompt chain. An exceptional communicator: You can translate complex technical concepts for any audience, write with precision and clarity, and present a compelling vision that gets people excited. A systems thinker: You see connections and dependencies others miss. You design modular, reusable architectures and anticipate second order effects. Autonomous and ownership driven: You don't wait to be told what to do. You identify what needs doing, take responsibility for outcomes (not just tasks), and drive initiatives to completion. Stakeholder savvy: You build relationships easily, navigate organisational complexity, and influence without authority. You can work with multiple stakeholders simultaneously and manage competing priorities with grace. Metrics driven: You connect your work to business outcomes. You're energised by measurable improvements and use data to guide decisions. Detail oriented but pragmatic: You care deeply about quality, safety, and reliability-but you also know when "good enough" is the right call to keep momentum. Curious and adaptable: You're genuinely excited about AI's potential to transform work. You experiment freely, learn quickly, and stay calm in ambiguity. Experience & Qualifications Experience 3+ years working with LLMs, AI systems, workflow automation, software engineering, applied ML, or prompt engineering. Track record designing and deploying AI workflows, agent systems, or orchestration logic in production environments. Track record of influencing stakeholders at multiple levels. A plus if you have: Experience supporting or leading organisational change, transformation, or adoption initiatives. Experience designing and delivering training, enablement, or coaching (formal or informal). Background in technical writing, UX writing, linguistics, or systems design. Technical Skills Strong understanding of LLM behaviour, prompt engineering, and instruction design. Strong understanding of agent architectures and multi agent systems. Ability to analyse logs, metrics, and anomalous system behaviour. Familiarity with APIs, workflow tools, and system integration concepts. Comfortable with experimentation, A/B testing, and data driven optimisation. Communication & Influence Excellent written and verbal communication skills. Ability to present complex ideas clearly to technical and non technical audiences. Experience building trusted relationships across functions. Comfortable facilitating workshops, training sessions, and cross functional discussions is a plus. Mindset & Behaviours Proactive and autonomous; takes ownership of outcomes, not just tasks. Strong commercial instinct-connects technical work to business value. Energised by helping others succeed. Comfortable operating with ambiguity and pioneering new ways of working. High adaptability and commitment to continuous learning. What We Offer Diversity & Inclusion Intent HQ is an equal opportunities employer with an ethos of commitment to promoting and practicing diversity, equality and inclusion at work. At IHQ, different perspectives, ideas and experiences are valued and respected, with fair and equal opportunities provided for all. Our diversity and inclusion efforts have been recognised with us winning two consecutive Women in Tech UK Awards . click apply for full job details
Apr 17, 2026
Full time
About Intent HQ Recognised by the Financial Times as one of the FT1000 Fast Growing Companies in Europe (), and winners of both Analytics Company of the Year 2025 and AI Company of the Year 2024 at the British Data Awards, Intent HQ is a leader and innovator in Customer AI Analytics and Data Science. Backed by strong investors and trusted by a blue chip international enterprise customer base, our mission is to become the world's preeminent Customer Intent Engine by combining privacy first signal intelligence, proprietary behavioural AI/ML analytics, and uniquely accessible enterprise insights into a single platform that enables organisations to build more genuine, sustainable, and profitable relationships with customers. We began by solving complex challenges for clients in the telecommunications sector, including Verizon, O2, and Orange, and have since expanded into Financial Services, Retail, and Social Media, with clients such as HB Reavis and Zurich Group. Our clients typically manage tens of millions of customers and process billions of interactions daily. Our platform is purpose built to handle data at this enormous scale efficiently, delivering tangible results. What sets us apart is our focus on deep customer interaction data, doing the hard, specialised work so our clients can focus on applying insight to their business strategies. Today, Intent HQ is home to an exciting, diverse, and fast growing team of 100+ people across London, Barcelona, Lisbon, Tel Aviv, New York, South Africa & India, collectively speaking over 15 languages. Recent Awards & Recognition: Best AI Ethics & Diversity Award 2025 - AI World Series Awards AI Business of the Year 2025 - The National AI Awards Analytics Company of the Year 2025 - British Data Awards AI Company of the Year 2024 - British Data Awards FT1000 Europe's Fastest Growing Companies - Financial Times & Statista Top 100 Edge Computing Company 2024 - STL Partners Why Join Us: Exciting Work Environment: Work on cutting edge technology at the intersection of AI and data analytics. Impactful Role shaping how the company moves forward Growth Opportunities: Advance your career in a fast paced, innovative industry Hybrid role: 3 days per week in our state of the art London office plus access to the onsite gym (including towel serviced showers and changing facilities) The Opportunity The AI Orchestration Architect is a hybrid business & technical role responsible for designing, building, and optimising intelligent AI systems composed of agents, workflows, and prompts-while simultaneously supporting the organisational transformation required to make these systems successful. You will sit at the intersection of multi agent orchestration, workflow design, prompt engineering, and organisational change. You will be our technical expert on agentic systems, but equally, you will be a change champion and trusted partner to stakeholders across the business as we transition to AI native operations where humans and agents work seamlessly together. You will translate ambiguous human goals into precise AI instructions, architect reusable frameworks, ensure AI agents collaborate safely and efficiently at scale, and help the organisation build the capabilities and confidence to embrace new ways of working. This role is critical to scaling AI driven automation while maintaining clarity, quality, and performance-and to bringing people along on the journey. Key Responsibilities Agent Architecture & Orchestration Design and maintain AI agent networks-roles, capabilities, handoff logic, and how agents interact with each other and humans. Build modular, reusable agent components and establish interaction protocols (delegation, escalation, safety guardrails). Ensure agents operate within clear boundaries and meet governance and compliance standards. Continuously evaluate and improve orchestration patterns based on real world performance. Prompt Engineering & Framework Management Design prompt chains for multi step and multi agent workflows. Build and maintain centralised prompt/agent libraries with versioning and testing frameworks. Translate business requirements into reliable, structured AI instructions. Establish quality standards and maintain auditable records of changes and experiments. Monitoring & Continuous Improvement Monitor agent behaviour, system health, and performance in production. Detect emergent behaviours-both beneficial and risky-and intervene proactively. Run experiments and A/B tests; lead post mortems to extract learnings and improve reliability. Connect technical improvements to measurable business outcomes. Enablement & Change Management As part of your team's mandate, champion the organisation's transition to AI native operations where humans and agents work seamlessly together. Design and deliver training on human AI collaboration. Help teams reimagine their processes and identify opportunities for AI augmentation. Build enthusiasm through clear communication and demonstrated value. Stakeholder Partnership Build trusted relationships across teams (product, engineering, operations, and leadership). Translate complex technical concepts for non technical audiences. Align competing priorities and bring diverse perspectives toward shared goals. Keep leadership informed on system performance, transformation progress, and emerging opportunities. About You You will thrive in this role if you are: A technical expert who can also lead change: You're deeply skilled in building AI systems, but you understand that technology alone doesn't drive transformation-people do. You're as comfortable coaching a colleague as you are debugging a prompt chain. An exceptional communicator: You can translate complex technical concepts for any audience, write with precision and clarity, and present a compelling vision that gets people excited. A systems thinker: You see connections and dependencies others miss. You design modular, reusable architectures and anticipate second order effects. Autonomous and ownership driven: You don't wait to be told what to do. You identify what needs doing, take responsibility for outcomes (not just tasks), and drive initiatives to completion. Stakeholder savvy: You build relationships easily, navigate organisational complexity, and influence without authority. You can work with multiple stakeholders simultaneously and manage competing priorities with grace. Metrics driven: You connect your work to business outcomes. You're energised by measurable improvements and use data to guide decisions. Detail oriented but pragmatic: You care deeply about quality, safety, and reliability-but you also know when "good enough" is the right call to keep momentum. Curious and adaptable: You're genuinely excited about AI's potential to transform work. You experiment freely, learn quickly, and stay calm in ambiguity. Experience & Qualifications Experience 3+ years working with LLMs, AI systems, workflow automation, software engineering, applied ML, or prompt engineering. Track record designing and deploying AI workflows, agent systems, or orchestration logic in production environments. Track record of influencing stakeholders at multiple levels. A plus if you have: Experience supporting or leading organisational change, transformation, or adoption initiatives. Experience designing and delivering training, enablement, or coaching (formal or informal). Background in technical writing, UX writing, linguistics, or systems design. Technical Skills Strong understanding of LLM behaviour, prompt engineering, and instruction design. Strong understanding of agent architectures and multi agent systems. Ability to analyse logs, metrics, and anomalous system behaviour. Familiarity with APIs, workflow tools, and system integration concepts. Comfortable with experimentation, A/B testing, and data driven optimisation. Communication & Influence Excellent written and verbal communication skills. Ability to present complex ideas clearly to technical and non technical audiences. Experience building trusted relationships across functions. Comfortable facilitating workshops, training sessions, and cross functional discussions is a plus. Mindset & Behaviours Proactive and autonomous; takes ownership of outcomes, not just tasks. Strong commercial instinct-connects technical work to business value. Energised by helping others succeed. Comfortable operating with ambiguity and pioneering new ways of working. High adaptability and commitment to continuous learning. What We Offer Diversity & Inclusion Intent HQ is an equal opportunities employer with an ethos of commitment to promoting and practicing diversity, equality and inclusion at work. At IHQ, different perspectives, ideas and experiences are valued and respected, with fair and equal opportunities provided for all. Our diversity and inclusion efforts have been recognised with us winning two consecutive Women in Tech UK Awards . click apply for full job details
Sauce AI for Test Authoring: Move from intent to execution in minutes. At Sauce Labs, we empower the world's top enterprises - like Walmart, Bank of America, and Indeed - to deliver quality web and mobile applications at speed. Our industry-leading platform ensures continuous quality across the SDLC, using AI-powered analytics to identify key quality signals from development through production. With our unified solution, teams can release and innovate with confidence, knowing their apps will always look, function, and perform exactly as they should. Backed by TPG and Riverwood Capital, we are shaping the future of digital confidence - join us! The Role Sauce Labs is ramping up our Customer Success team to proactively help our customers leverage our platform to impact their business. This is an opportunity to be part of a high performing CS team and make a strategic contribution to the success of Sauce Labs. You will be building relationships with key customers and guiding them on their Test Automation journey. We're looking for someone who is passionate about making their customers successful, proactive in solving challenges, and can represent their customers' needs within the business. Responsibilities Develop and nurture relationships across a portfolio of enterprise customers to increase their adoption and health scores to add value to their business. Collaborate with Sales to develop strategic account plans, improve customer experience, and explore expansion opportunities. Partner with customers to identify their strategic goals, business priorities, and initiatives to create success plans with clear metrics and engagement strategies. Proactively monitor customer usage and health scores of Sauce products and take immediate action to mitigate and address issues. Build relationships with multiple individuals in each account, including executive sponsors, economic buyers, and decision-makers. Influence leaders to drive change across the customer organization. Provide strategic advice and guidance to customers on effectively using Sauce products and schedule regular touch points to review progress and milestones. Prepare and present quarterly Executive business reviews in partnership with Sales and product management. Act as an advocate for customer needs/issues across product, marketing, and support functions. Provide ongoing support and assistance to customers, helping them troubleshoot issues, address concerns, and optimize their product usage. Responsible for measuring and proactively monitoring customer health scores to drive proactive engagement and address potential concerns before they escalated. Work closely with your internal cross-functional departments, Sales, Renewals, Product, Support, and Legal, to influence them to address customer needs and drive successful outcomes. Own and drive internal initiatives that enhance and grow the CS organization. Required Skills 3-5 + years of experience working as a Customer Success Manager, expanding business for SaaS solutions in digital product development, testing or DevOps. Strong technical (familiarity with python, java, or other related coding languages) aptitude and ability to simplify complex concepts. Experience working with and/or performing data analysis is a plus. Proven ability to anticipate customer needs and drive scalable solutions. Genuine curiosity, plus a desire to learn about existing and new tools in the testing ecosystem. The persistence to discover, develop and build relationships where none exists. Ability to seek and identify new use cases which could benefit from continuous testing architecture. Ability to run technical demonstration sessions of newly released features and capabilities which could benefit customer goals and objectives. Ability to collaborate effectively with cross-functional teams, including Sales, Support, Engineering, Product Management, and Consulting Services. Excellent communication, written and presentation skills. Willingness to provide context on issues and communicate appropriate urgency when collaborating cross-functionally. Willingness and ability to travel (occasionally at short notice), provide after hours and weekend on-call support as needed to support maintenance activities. Experience with CSM tools, i.e. Salesforce, Outreach, Google Workspace. Bachelor's Degree or equivalent experience. Travel and meet customers on-site as needed. Nice to Haves Familiarity with test automation technologies such as Selenium and Appium, web and mobile SDKs, network proxy solutions a plus. Experience with Consultative Selling. Understanding of the SDLC, software development processes (Agile, CI/CD) and tools. Experience working with Global 2000 customers. We are a hybrid workplace that recognizes the importance of flexibility while valuing in-person collaboration and relationship building. As a result, Saucers located near an office location must be able and willing to come into the office. Those hired remotely must be able and willing to travel to an office as required by the specific role. Please note our privacy terms when applying for a job at Sauce Labs. Sauce Labs is proud to be an Equal Opportunity employee and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender identity/expression/status, sexual orientation, age, marital status, veteran status or disability status. Security responsibilities at Sauce At Sauce, we will commit to supporting the health and safety of employees and properties, partnering with internal stakeholders to learn and act on ever-evolving security protocols and procedures. You'll be expected to fully comply with all policies and procedures related to security at the department and org wide level and exercise a 'security first' approach to how we design, build & run our products and services.
Apr 17, 2026
Full time
Sauce AI for Test Authoring: Move from intent to execution in minutes. At Sauce Labs, we empower the world's top enterprises - like Walmart, Bank of America, and Indeed - to deliver quality web and mobile applications at speed. Our industry-leading platform ensures continuous quality across the SDLC, using AI-powered analytics to identify key quality signals from development through production. With our unified solution, teams can release and innovate with confidence, knowing their apps will always look, function, and perform exactly as they should. Backed by TPG and Riverwood Capital, we are shaping the future of digital confidence - join us! The Role Sauce Labs is ramping up our Customer Success team to proactively help our customers leverage our platform to impact their business. This is an opportunity to be part of a high performing CS team and make a strategic contribution to the success of Sauce Labs. You will be building relationships with key customers and guiding them on their Test Automation journey. We're looking for someone who is passionate about making their customers successful, proactive in solving challenges, and can represent their customers' needs within the business. Responsibilities Develop and nurture relationships across a portfolio of enterprise customers to increase their adoption and health scores to add value to their business. Collaborate with Sales to develop strategic account plans, improve customer experience, and explore expansion opportunities. Partner with customers to identify their strategic goals, business priorities, and initiatives to create success plans with clear metrics and engagement strategies. Proactively monitor customer usage and health scores of Sauce products and take immediate action to mitigate and address issues. Build relationships with multiple individuals in each account, including executive sponsors, economic buyers, and decision-makers. Influence leaders to drive change across the customer organization. Provide strategic advice and guidance to customers on effectively using Sauce products and schedule regular touch points to review progress and milestones. Prepare and present quarterly Executive business reviews in partnership with Sales and product management. Act as an advocate for customer needs/issues across product, marketing, and support functions. Provide ongoing support and assistance to customers, helping them troubleshoot issues, address concerns, and optimize their product usage. Responsible for measuring and proactively monitoring customer health scores to drive proactive engagement and address potential concerns before they escalated. Work closely with your internal cross-functional departments, Sales, Renewals, Product, Support, and Legal, to influence them to address customer needs and drive successful outcomes. Own and drive internal initiatives that enhance and grow the CS organization. Required Skills 3-5 + years of experience working as a Customer Success Manager, expanding business for SaaS solutions in digital product development, testing or DevOps. Strong technical (familiarity with python, java, or other related coding languages) aptitude and ability to simplify complex concepts. Experience working with and/or performing data analysis is a plus. Proven ability to anticipate customer needs and drive scalable solutions. Genuine curiosity, plus a desire to learn about existing and new tools in the testing ecosystem. The persistence to discover, develop and build relationships where none exists. Ability to seek and identify new use cases which could benefit from continuous testing architecture. Ability to run technical demonstration sessions of newly released features and capabilities which could benefit customer goals and objectives. Ability to collaborate effectively with cross-functional teams, including Sales, Support, Engineering, Product Management, and Consulting Services. Excellent communication, written and presentation skills. Willingness to provide context on issues and communicate appropriate urgency when collaborating cross-functionally. Willingness and ability to travel (occasionally at short notice), provide after hours and weekend on-call support as needed to support maintenance activities. Experience with CSM tools, i.e. Salesforce, Outreach, Google Workspace. Bachelor's Degree or equivalent experience. Travel and meet customers on-site as needed. Nice to Haves Familiarity with test automation technologies such as Selenium and Appium, web and mobile SDKs, network proxy solutions a plus. Experience with Consultative Selling. Understanding of the SDLC, software development processes (Agile, CI/CD) and tools. Experience working with Global 2000 customers. We are a hybrid workplace that recognizes the importance of flexibility while valuing in-person collaboration and relationship building. As a result, Saucers located near an office location must be able and willing to come into the office. Those hired remotely must be able and willing to travel to an office as required by the specific role. Please note our privacy terms when applying for a job at Sauce Labs. Sauce Labs is proud to be an Equal Opportunity employee and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender identity/expression/status, sexual orientation, age, marital status, veteran status or disability status. Security responsibilities at Sauce At Sauce, we will commit to supporting the health and safety of employees and properties, partnering with internal stakeholders to learn and act on ever-evolving security protocols and procedures. You'll be expected to fully comply with all policies and procedures related to security at the department and org wide level and exercise a 'security first' approach to how we design, build & run our products and services.
A leading technology firm in Cambridge is looking for a hands-on role in their Enterprise Data & Insights team. You'll develop impactful data solutions using Databricks while collaborating with data engineers and business stakeholders. This position requires strong SQL skills, experience with data platforms, and the ability to translate business needs into analytical solutions. You'll have the chance to shape how data is accessed and used across the organization.
Apr 17, 2026
Full time
A leading technology firm in Cambridge is looking for a hands-on role in their Enterprise Data & Insights team. You'll develop impactful data solutions using Databricks while collaborating with data engineers and business stakeholders. This position requires strong SQL skills, experience with data platforms, and the ability to translate business needs into analytical solutions. You'll have the chance to shape how data is accessed and used across the organization.
The Data Engineer will be a key contributor to building, optimising, and maintaining Colt DCS's modern data environment. Working within the Data Integrations & BI team, you will design and support data pipelines, integrations, Azure data structures, and Power BI ready datasets across our Microsoft-centric ecosystem. This role ensures the organisation has high quality, reliable, and well structured data for analytics, reporting, and operational decision making. You will be responsible for the technical development of integration workflows, ETL/ELT processes, Azure data structures, and supporting Power BI data models used across the organisation. What we're looking for Key Responsibilities Design, build, and maintain robust data pipelines using Azure Data Factory, Logic Apps, and related technologies. Develop and optimise ELT/ETL workflows for ingestion, transformation, and delivery into the Azure SQL data warehouse. Implement efficient data models and structures to support analytics and reporting requirements. Build and maintain integration solutions between business systems (e.g., Dynamics 365, SugarCRM, Workday, operational platforms). Ensure data pipelines are scalable, secure, and aligned with architectural standards. Data Quality, Reliability & Operations Monitor, troubleshoot, and resolve issues in data workflows and integrations. Maintain BAU operations such as daily data refreshes, pipeline monitoring, and user support. Implement data quality measures, validation rules, and reconciliation checks. Contribute to data governance practices, including metadata, lineage, and documentation. Collaboration & Stakeholder Engagement Work closely with BI developers, analysts, and business stakeholders to understand data requirements and translate them into technical solutions. Collaborate with external partners delivering development or support services. Support business teams in improving the use and understanding of enterprise data assets. Identify opportunities to automate processes, improve performance, and enhance data reliability. Research and evaluate emerging tools, features, and best practices within the Azure and data engineering landscape. Contribute to the long term data platform roadmap and architectural decisions. Skills and Experience 3-5+ years' experience as a Data Engineer or similar role. Strong experience designing, building, and supporting data pipelines using Azure Data Factory, Azure Logic Apps, or similar tools. Hands on experience with Azure SQL Database, including relational modelling and performance optimisation; strong SQL proficiency for data transformation and analysis. Experience developing ETL/ELT pipelines and working with structured/unstructured data sources. Understanding of data warehousing concepts, star schemas, and modern analytics patterns. Familiarity with the Microsoft ecosystem (Azure, Power BI, Power Platform). Experience with DevOps practices such as version control (Git), deployment automation, or CI/CD. Excellent analytical and problem solving skills, with a strong business acumen. Experience integrating with business systems such as Dynamics 365, Salesforce, or similar platforms. Exposure to Python or other scripting languages used in data engineering. Ability to translate complex data challenges into clear business outcomes and priorities. Exceptional communication and interpersonal skills, with the ability to influence and engage stakeholders at all levels. Job Segment: Data Warehouse, Data Center, Database, SQL, Technology, Research
Apr 17, 2026
Full time
The Data Engineer will be a key contributor to building, optimising, and maintaining Colt DCS's modern data environment. Working within the Data Integrations & BI team, you will design and support data pipelines, integrations, Azure data structures, and Power BI ready datasets across our Microsoft-centric ecosystem. This role ensures the organisation has high quality, reliable, and well structured data for analytics, reporting, and operational decision making. You will be responsible for the technical development of integration workflows, ETL/ELT processes, Azure data structures, and supporting Power BI data models used across the organisation. What we're looking for Key Responsibilities Design, build, and maintain robust data pipelines using Azure Data Factory, Logic Apps, and related technologies. Develop and optimise ELT/ETL workflows for ingestion, transformation, and delivery into the Azure SQL data warehouse. Implement efficient data models and structures to support analytics and reporting requirements. Build and maintain integration solutions between business systems (e.g., Dynamics 365, SugarCRM, Workday, operational platforms). Ensure data pipelines are scalable, secure, and aligned with architectural standards. Data Quality, Reliability & Operations Monitor, troubleshoot, and resolve issues in data workflows and integrations. Maintain BAU operations such as daily data refreshes, pipeline monitoring, and user support. Implement data quality measures, validation rules, and reconciliation checks. Contribute to data governance practices, including metadata, lineage, and documentation. Collaboration & Stakeholder Engagement Work closely with BI developers, analysts, and business stakeholders to understand data requirements and translate them into technical solutions. Collaborate with external partners delivering development or support services. Support business teams in improving the use and understanding of enterprise data assets. Identify opportunities to automate processes, improve performance, and enhance data reliability. Research and evaluate emerging tools, features, and best practices within the Azure and data engineering landscape. Contribute to the long term data platform roadmap and architectural decisions. Skills and Experience 3-5+ years' experience as a Data Engineer or similar role. Strong experience designing, building, and supporting data pipelines using Azure Data Factory, Azure Logic Apps, or similar tools. Hands on experience with Azure SQL Database, including relational modelling and performance optimisation; strong SQL proficiency for data transformation and analysis. Experience developing ETL/ELT pipelines and working with structured/unstructured data sources. Understanding of data warehousing concepts, star schemas, and modern analytics patterns. Familiarity with the Microsoft ecosystem (Azure, Power BI, Power Platform). Experience with DevOps practices such as version control (Git), deployment automation, or CI/CD. Excellent analytical and problem solving skills, with a strong business acumen. Experience integrating with business systems such as Dynamics 365, Salesforce, or similar platforms. Exposure to Python or other scripting languages used in data engineering. Ability to translate complex data challenges into clear business outcomes and priorities. Exceptional communication and interpersonal skills, with the ability to influence and engage stakeholders at all levels. Job Segment: Data Warehouse, Data Center, Database, SQL, Technology, Research
Babcock Mission Critical Services España SA.
Bristol, Gloucestershire
Location: Bristol, GB, BS16 1EJ Onsite or Hybrid: OnSite Job Title: Data Analytics Software Developer Location: Stoke Gifford, Bristol Compensation: £45,692 - £51,068 Depending on Experience + Benefits Role Type: Full time / Permanent Role ID: SF72912 Use Data to Shape the Future of National Defence At Babcock we're working to create a safe and secure world, together, and if you join us, you can play your part as a Data Analytics Software Developer at our Babcock Technology Centre site. The role As a Data Analytics Software Developer, you'll join a newly established team delivering insight driven modelling and analysis that supports Babcock's long term submarine maintenance and disposal programmes. Your work will directly influence strategic decisions that underpin national security, infrastructure resilience and future defence capability. Day to day, you'll translate complex data into meaningful insights that support senior leadership and customers, while developing deep operational understanding of one of the UK's most critical defence portfolios. In return, you'll grow your analytical expertise, expand your technical skills and build a rewarding career within defence, aerospace and engineering. Develop and operate modelling and analysis tools to explore business scenarios and optimise programmes. Undertake targeted modelling to answer specific business questions and support strategic decision making. Build operational and strategic understanding to shape scenarios and options using advanced analytical techniques. Analyse supply capability against submarine availability demand across multiple sites. Create clear, impactful analytical outputs for stakeholders at all levels. This role is full time, 35 hours per week and is based on site at Babcock Technology Centre. Essential experience Working knowledge of Python, with experience in a fast paced data analysis or programming environment. Strong capability in developing, running and maintaining complex models and analytical tools. High level of numeracy, logical reasoning and problem solving ability. Confident collaborator who can proactively engage with senior stakeholders. Clear communicator, able to present insights at all levels, with desirable experience applying modelling or analytical techniques within complex operational or engineering environments. Qualifications A relevant degree or strong academic background in a STEM related discipline. Security Clearance The successful candidate must be a sole UK National who is able to achieve and maintain Security Check (SC) security clearance for this role. Many of the positions within our company are subject to national security clearance and Trade Control restrictions. This means that your eligibility for certain roles may be affected by your place of birth, nationality, current or former citizenship, and any residency you hold or have held. Further details are available at United Kingdom Security Vetting: clearance levels - GOV.UK (). What we offer Matched contribution pension scheme, with life assurance Access to a Digital GP, annual health check, and nutritional consultations through Aviva DigiCare+ Employee share scheme Employee shopping savings portal Payment of Professional Fees Reservists in the armed forces receive 10 days special paid leave Holiday Trading is a benefit that allows UK Babcock employees to buy additional leave or to sell up to one working week of annual leave from their annual entitlement. There is an annual Window to request this benefit. 'Be Kind Day' enables employees to take one working day's paid leave a year (or equivalent hours) to undertake volunteering work with their chosen organisation or registered charity Excellent development opportunities and benefits package including an employee assistance programme supporting physical, mental and financial wellbeing. Babcock We're Babcock - a global FTSE 100 organisation with over 26,000 people working together to make a difference. Here, you'll be part of something bigger. From initial design to final decommissioning, your work will contribute to products and services that are essential to national security and public infrastructure. Together, we're building a future that lasts - not just through the impact we make, but through meaningful careers that respect your work life balance. We call that lifetime engineering. Join us and see how far we can go, together. We are a disability confident committed employer. If you have a disability or need any reasonable adjustments during the application and selection stages, please email with the subject header 'Reasonable adjustments requirement'. We're committed to building an inclusive culture where everyone's free to thrive. We are happy to talk about flexible working - please ask about alternative patterns of work at interview.
Apr 17, 2026
Full time
Location: Bristol, GB, BS16 1EJ Onsite or Hybrid: OnSite Job Title: Data Analytics Software Developer Location: Stoke Gifford, Bristol Compensation: £45,692 - £51,068 Depending on Experience + Benefits Role Type: Full time / Permanent Role ID: SF72912 Use Data to Shape the Future of National Defence At Babcock we're working to create a safe and secure world, together, and if you join us, you can play your part as a Data Analytics Software Developer at our Babcock Technology Centre site. The role As a Data Analytics Software Developer, you'll join a newly established team delivering insight driven modelling and analysis that supports Babcock's long term submarine maintenance and disposal programmes. Your work will directly influence strategic decisions that underpin national security, infrastructure resilience and future defence capability. Day to day, you'll translate complex data into meaningful insights that support senior leadership and customers, while developing deep operational understanding of one of the UK's most critical defence portfolios. In return, you'll grow your analytical expertise, expand your technical skills and build a rewarding career within defence, aerospace and engineering. Develop and operate modelling and analysis tools to explore business scenarios and optimise programmes. Undertake targeted modelling to answer specific business questions and support strategic decision making. Build operational and strategic understanding to shape scenarios and options using advanced analytical techniques. Analyse supply capability against submarine availability demand across multiple sites. Create clear, impactful analytical outputs for stakeholders at all levels. This role is full time, 35 hours per week and is based on site at Babcock Technology Centre. Essential experience Working knowledge of Python, with experience in a fast paced data analysis or programming environment. Strong capability in developing, running and maintaining complex models and analytical tools. High level of numeracy, logical reasoning and problem solving ability. Confident collaborator who can proactively engage with senior stakeholders. Clear communicator, able to present insights at all levels, with desirable experience applying modelling or analytical techniques within complex operational or engineering environments. Qualifications A relevant degree or strong academic background in a STEM related discipline. Security Clearance The successful candidate must be a sole UK National who is able to achieve and maintain Security Check (SC) security clearance for this role. Many of the positions within our company are subject to national security clearance and Trade Control restrictions. This means that your eligibility for certain roles may be affected by your place of birth, nationality, current or former citizenship, and any residency you hold or have held. Further details are available at United Kingdom Security Vetting: clearance levels - GOV.UK (). What we offer Matched contribution pension scheme, with life assurance Access to a Digital GP, annual health check, and nutritional consultations through Aviva DigiCare+ Employee share scheme Employee shopping savings portal Payment of Professional Fees Reservists in the armed forces receive 10 days special paid leave Holiday Trading is a benefit that allows UK Babcock employees to buy additional leave or to sell up to one working week of annual leave from their annual entitlement. There is an annual Window to request this benefit. 'Be Kind Day' enables employees to take one working day's paid leave a year (or equivalent hours) to undertake volunteering work with their chosen organisation or registered charity Excellent development opportunities and benefits package including an employee assistance programme supporting physical, mental and financial wellbeing. Babcock We're Babcock - a global FTSE 100 organisation with over 26,000 people working together to make a difference. Here, you'll be part of something bigger. From initial design to final decommissioning, your work will contribute to products and services that are essential to national security and public infrastructure. Together, we're building a future that lasts - not just through the impact we make, but through meaningful careers that respect your work life balance. We call that lifetime engineering. Join us and see how far we can go, together. We are a disability confident committed employer. If you have a disability or need any reasonable adjustments during the application and selection stages, please email with the subject header 'Reasonable adjustments requirement'. We're committed to building an inclusive culture where everyone's free to thrive. We are happy to talk about flexible working - please ask about alternative patterns of work at interview.
We believe in the power of ingenuity to build a positive human future. As strategies, technologies, and innovation collide, we create opportunity from complexity. Our teams of interdisciplinary experts combine innovative thinking and breakthrough technologies to progress further, faster. Our clients adapt and transform, and together we achieve enduring results. We are over 4,000 strategists, innovators, designers, consultants, digital experts, scientists, engineers, and technologists. And we have deep expertise in consumer and manufacturing, defence and security, energy and utilities, financial services, government and public services, health and life sciences, and transport. Our teams operate globally from offices across the UK, Ireland, US, Nordics, and Netherlands. PA. Bringing Ingenuity to Life. We believe in the power of ingenuity to build a positive human future. We challenge where it matters and own the outcome. We combine strategic thinking, customer centric service design, and agile engineering practices to accelerate innovation in a tech driven world. Join our Digital & Data team working alongside product, design and a wide range of other experts and cross disciplinary teams to bring ideas to life through innovative software solutions. Grow a flexible and unique career within a trust based, inclusive environment that values excellence, innovation, and curiosity. You have the option to progress with us on a technical career track. No need to go onto the Partner career track if this doesn't align with what you want to do. Hybrid working - our approach is to be in the office or on client site a minimum of 2 days per week. Work on a broad variety of projects and tech stacks for clients across seven sectors - no project is ever the same Join other experts within our supportive and collaborative tech community through knowledge sharing and peer level support, coaching and mentoring Deepen your expertise through our a culture of learning and growth - you'll have budget to take courses (technical and non technical training), plus gain certifications While we advocate for using the right tech for the right task, you can expect to work with the following technologies to ensure scalable, high performance applications: AWS is a significant growth area for us with a diverse and growing capability and we are looking for a Data Engineer with experience in AWS cloud technologies for ETL pipeline, data warehouse and data lake design/building and data movement. AWS data and analytics services (or open source equivalent) such as EMR, Glue, RedShift, Kinesis, Lambda, DynamoDB. What you can expect Work to agile best practices and cross functionally with multiple teams and stakeholders. You'll be using your technical skills to problem solve with our clients, as well as working on internal projects Live in person whiteboarding sessions to problem solve as a team, alongside asynchronous communication on Teams Hybrid working with the team on client site or in our office a minimum of two days per week. However, the actual time you spend and where you spend it will vary by role or assignment, including up to 5 days per week on a client site. You'll work alongside colleagues from across PA - delivering transformative digital solutions to today's most complex business challenges. You'll be designing and building for the AWS cloud Qualifications Essential requirements Even if you don't meet every requirement below, feel free to still apply as we are often hiring for similar roles which your background might be better suited to. You thrive in problem solving and analytical thinking You enjoy collaborating with multiple stakeholders in a fast paced environment Experience in the design and deployment of production data pipelines from ingestion to consumption within a big data architecture, using Java, Python, Scala, Spark, SQL. Experience performing tasks such as writing scripts, extracting data using APIs, writing SQL queries etc. Experience in processing large amounts of structured and unstructured data, including integrating data from multiple sources through ingestion and curation functions on AWS cloud using AWS native or custom programming. Additional information Please note that the interview stages may be subject to change based on the specific requirements of the role. Quick call with one of our Tech Recruiters - to discuss your application, the role and PA Round 1: Either a competency or technical interview (60 mins) Round 2: Either a competency or technical interview, whichever you didn't do at first round (60 mins) Final round : Meeting with a PA leader - a mini case study and discussion around your client centricity (60 mins) Life At PA encompasses our peoples' experience at PA. It's about how we enrich peoples' working lives by giving them access to unique people and growth opportunities and purpose led meaningful work. Our purpose guides how we work with our clients and our teams, and support our communities, to deliver insight and impact, solving the world's most complex challenges. We're focused on building a workplace that values human difference and diverse mindsets, and a culture of inclusion and equality that unlocks the potential in our people so everyone can be their best self. We are dedicated to supporting the physical, emotional, social and financial well being of our people. Check out some of our extensive benefits: Health and lifestyle perks accompanying private healthcare for you and your family 25 days annual leave (plus a bonus half day on Christmas Eve) with the opportunity to buy 5 additional days Generous company pension scheme Opportunity to get involved with community and charity based initiatives Annual performance based bonus PA share ownership Tax efficient benefits (cycle to work, give as you earn) We're committed to advancing equality. We recruit, retain, reward and develop our people based solely on their abilities and contributions and without reference to their age, background, disability, genetic information, parental or family status, religion or belief, race, ethnicity, nationality, sex, sexual orientation, gender identity (or expression), political belief, veteran status, or by any other range of human difference brought about by identity and experience. We welcome applications from underrepresented groups. Adjustments or accommodations - Should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us on
Apr 17, 2026
Full time
We believe in the power of ingenuity to build a positive human future. As strategies, technologies, and innovation collide, we create opportunity from complexity. Our teams of interdisciplinary experts combine innovative thinking and breakthrough technologies to progress further, faster. Our clients adapt and transform, and together we achieve enduring results. We are over 4,000 strategists, innovators, designers, consultants, digital experts, scientists, engineers, and technologists. And we have deep expertise in consumer and manufacturing, defence and security, energy and utilities, financial services, government and public services, health and life sciences, and transport. Our teams operate globally from offices across the UK, Ireland, US, Nordics, and Netherlands. PA. Bringing Ingenuity to Life. We believe in the power of ingenuity to build a positive human future. We challenge where it matters and own the outcome. We combine strategic thinking, customer centric service design, and agile engineering practices to accelerate innovation in a tech driven world. Join our Digital & Data team working alongside product, design and a wide range of other experts and cross disciplinary teams to bring ideas to life through innovative software solutions. Grow a flexible and unique career within a trust based, inclusive environment that values excellence, innovation, and curiosity. You have the option to progress with us on a technical career track. No need to go onto the Partner career track if this doesn't align with what you want to do. Hybrid working - our approach is to be in the office or on client site a minimum of 2 days per week. Work on a broad variety of projects and tech stacks for clients across seven sectors - no project is ever the same Join other experts within our supportive and collaborative tech community through knowledge sharing and peer level support, coaching and mentoring Deepen your expertise through our a culture of learning and growth - you'll have budget to take courses (technical and non technical training), plus gain certifications While we advocate for using the right tech for the right task, you can expect to work with the following technologies to ensure scalable, high performance applications: AWS is a significant growth area for us with a diverse and growing capability and we are looking for a Data Engineer with experience in AWS cloud technologies for ETL pipeline, data warehouse and data lake design/building and data movement. AWS data and analytics services (or open source equivalent) such as EMR, Glue, RedShift, Kinesis, Lambda, DynamoDB. What you can expect Work to agile best practices and cross functionally with multiple teams and stakeholders. You'll be using your technical skills to problem solve with our clients, as well as working on internal projects Live in person whiteboarding sessions to problem solve as a team, alongside asynchronous communication on Teams Hybrid working with the team on client site or in our office a minimum of two days per week. However, the actual time you spend and where you spend it will vary by role or assignment, including up to 5 days per week on a client site. You'll work alongside colleagues from across PA - delivering transformative digital solutions to today's most complex business challenges. You'll be designing and building for the AWS cloud Qualifications Essential requirements Even if you don't meet every requirement below, feel free to still apply as we are often hiring for similar roles which your background might be better suited to. You thrive in problem solving and analytical thinking You enjoy collaborating with multiple stakeholders in a fast paced environment Experience in the design and deployment of production data pipelines from ingestion to consumption within a big data architecture, using Java, Python, Scala, Spark, SQL. Experience performing tasks such as writing scripts, extracting data using APIs, writing SQL queries etc. Experience in processing large amounts of structured and unstructured data, including integrating data from multiple sources through ingestion and curation functions on AWS cloud using AWS native or custom programming. Additional information Please note that the interview stages may be subject to change based on the specific requirements of the role. Quick call with one of our Tech Recruiters - to discuss your application, the role and PA Round 1: Either a competency or technical interview (60 mins) Round 2: Either a competency or technical interview, whichever you didn't do at first round (60 mins) Final round : Meeting with a PA leader - a mini case study and discussion around your client centricity (60 mins) Life At PA encompasses our peoples' experience at PA. It's about how we enrich peoples' working lives by giving them access to unique people and growth opportunities and purpose led meaningful work. Our purpose guides how we work with our clients and our teams, and support our communities, to deliver insight and impact, solving the world's most complex challenges. We're focused on building a workplace that values human difference and diverse mindsets, and a culture of inclusion and equality that unlocks the potential in our people so everyone can be their best self. We are dedicated to supporting the physical, emotional, social and financial well being of our people. Check out some of our extensive benefits: Health and lifestyle perks accompanying private healthcare for you and your family 25 days annual leave (plus a bonus half day on Christmas Eve) with the opportunity to buy 5 additional days Generous company pension scheme Opportunity to get involved with community and charity based initiatives Annual performance based bonus PA share ownership Tax efficient benefits (cycle to work, give as you earn) We're committed to advancing equality. We recruit, retain, reward and develop our people based solely on their abilities and contributions and without reference to their age, background, disability, genetic information, parental or family status, religion or belief, race, ethnicity, nationality, sex, sexual orientation, gender identity (or expression), political belief, veteran status, or by any other range of human difference brought about by identity and experience. We welcome applications from underrepresented groups. Adjustments or accommodations - Should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us on
About Caxton Associates: Caxton Associates, founded in 1983, is a global trading and investment firm with offices in New York, London, Bengaluru, Monaco, Singapore and Dubai. Caxton Associates' primary business is to manage client and proprietary capital through a suite of products designed to fit the specific needs of investors. Employing a multi portfolio manager framework, Caxton excels in discretionary global macro investing, leveraging its diversified expertise across asset classes and markets. About the role: We are seeking a Database Engineer to join our London based technology team. This is a hands on role focused on design, development, and optimisation of the firm's core data platforms. You will play a key role in shaping and scaling the firm's data platform, directly supporting trading and investment decision making. The role requires strong technical expertise, attention to data quality, and the ability to operate in a fast paced, business critical environment. Collaborate with Technology, Quant, and Risk teams to deliver data solutions for reporting and analytics Design and implement scalable database schemas, tables, indexes, and stored procedures Develop and maintain Python ETL pipelines for trade, position, and pricing data Build and support reporting and visualization solutions using Tableau Ensure data integrity
Apr 17, 2026
Full time
About Caxton Associates: Caxton Associates, founded in 1983, is a global trading and investment firm with offices in New York, London, Bengaluru, Monaco, Singapore and Dubai. Caxton Associates' primary business is to manage client and proprietary capital through a suite of products designed to fit the specific needs of investors. Employing a multi portfolio manager framework, Caxton excels in discretionary global macro investing, leveraging its diversified expertise across asset classes and markets. About the role: We are seeking a Database Engineer to join our London based technology team. This is a hands on role focused on design, development, and optimisation of the firm's core data platforms. You will play a key role in shaping and scaling the firm's data platform, directly supporting trading and investment decision making. The role requires strong technical expertise, attention to data quality, and the ability to operate in a fast paced, business critical environment. Collaborate with Technology, Quant, and Risk teams to deliver data solutions for reporting and analytics Design and implement scalable database schemas, tables, indexes, and stored procedures Develop and maintain Python ETL pipelines for trade, position, and pricing data Build and support reporting and visualization solutions using Tableau Ensure data integrity
Talented people are the key to our success Would you like to work for an inclusive and collaborative company which is also one of the most successful within the UK infrastructure industry? Metrowest 1b Scheme - Portishead to Bristol Temple Meads Role Overview The Metrowest 1b scheme will reinstate passenger rail services between Portishead and Bristol Temple Meads, improving regional connectivity and supporting sustainable transport. This £80m programme includes: Construction of 4.5 km of disused railway between Pill and Portishead New stations at Pill and Portishead Highways and utility works Rock stabilisation and drainage Bridges, retaining walls, and other lineside civilsDelivery is planned from January 2026 to mid-2028 in collaboration with Network Rail. Role Responsibilities We are looking for an Information Manager to manage and coordinate the scheme's data and documentation, ensuring compliance and consistency across the project. You will be responsible for overseeing the Common Data Environment (CDE), embedding digital/BIM information management processes, and supporting project teams and the supply chain in adopting lean, innovative digital ways of working. Working closely with the Quality team, you will establish assurance requirements, ensure compliance with ISO 19650 standards, and enable a digitally led approach to project delivery. Key Responsibilities Manage and communicate all project data and documentation Provide training, support, and guidance to project teams and supply chain partners Lead on CDE requirements and governance, ensuring alignment with ISO 19650 Implement digital/BIM information management processes that reduce duplication and inefficiency Liaise with the client and stakeholders to ensure consistency and compliance Support the adoption of lean and innovative digital working practices Skills, Experience and Qualifications We're looking for an experienced Information Manager with strong technical knowledge of CDE platforms and BIM standards. You will bring: Proficiency in collaborative data environments such as Bentley ProjectWise Knowledge of BS/PAS 1192 and ISO 19650 standards Understanding of quality management systems and digital handover processes Experience with design tools such as Revit, Civil 3D, and Navisworks Additional experience (beneficial, but not essential): Other CDEs (e.g. Viewpoint for Projects, Business Collaborator, BIM 360) Other CAD/BIM software (e.g. Asta Powerproject, Synchro) Data analytics tools such as Power BI What's in it for you? Below is a selection of benefits that are available to you at Morgan Sindall Infrastructure. Generous holiday entitlement with the option to buy five days Flexible and adaptable working Family friendly policies and work/life approach Mentoring programmes and continuous learning support Contributory pension scheme Recognition scheme and long service awards Car scheme and Private Medical Insurance (if applicable to role) We also provide the option to participate in our share-save scheme; discounts including cycle to work and gym membership; a support and advice service for colleagues and their families, and more. Millions of people rely on Britain's rail network to take them safely and efficiently across the country every day. Morgan Sindall helps this happen by providing renewed and enhanced rail infrastructure with the minimum of passenger disruption. Our customers receive a multi-disciplined service covering electrification, power supply, tunnelling and a full range of civil engineering and building capabilities including structures, lineside infrastructure, and station enhancements. This is complemented by track and signalling works from our supply chain partners to provide a complete rail offering. Our expertise is focused not only on effective delivery of projects within a railway environment, but also on minimising disruption for railway users through the adoption of innovative working practices and techniques. These include 'live launch' bridge construction, in which we can install bridges while allowing railways beneath to remain operational. From landmark station refurbishment projects and platform extensions to tunnelling works and bridge launches, we have a track record of delivering rail projects that are helping to provide a rail network fit for the 21st century. Morgan Sindall is an equal opportunities employer and has been accredited with the Positive About Disabled People 'Two Ticks' accreditation. We are also an Investors in People company. Morgan Sindall is unable to employ anyone who does not have the legal right to live and work in the UK.
Apr 17, 2026
Full time
Talented people are the key to our success Would you like to work for an inclusive and collaborative company which is also one of the most successful within the UK infrastructure industry? Metrowest 1b Scheme - Portishead to Bristol Temple Meads Role Overview The Metrowest 1b scheme will reinstate passenger rail services between Portishead and Bristol Temple Meads, improving regional connectivity and supporting sustainable transport. This £80m programme includes: Construction of 4.5 km of disused railway between Pill and Portishead New stations at Pill and Portishead Highways and utility works Rock stabilisation and drainage Bridges, retaining walls, and other lineside civilsDelivery is planned from January 2026 to mid-2028 in collaboration with Network Rail. Role Responsibilities We are looking for an Information Manager to manage and coordinate the scheme's data and documentation, ensuring compliance and consistency across the project. You will be responsible for overseeing the Common Data Environment (CDE), embedding digital/BIM information management processes, and supporting project teams and the supply chain in adopting lean, innovative digital ways of working. Working closely with the Quality team, you will establish assurance requirements, ensure compliance with ISO 19650 standards, and enable a digitally led approach to project delivery. Key Responsibilities Manage and communicate all project data and documentation Provide training, support, and guidance to project teams and supply chain partners Lead on CDE requirements and governance, ensuring alignment with ISO 19650 Implement digital/BIM information management processes that reduce duplication and inefficiency Liaise with the client and stakeholders to ensure consistency and compliance Support the adoption of lean and innovative digital working practices Skills, Experience and Qualifications We're looking for an experienced Information Manager with strong technical knowledge of CDE platforms and BIM standards. You will bring: Proficiency in collaborative data environments such as Bentley ProjectWise Knowledge of BS/PAS 1192 and ISO 19650 standards Understanding of quality management systems and digital handover processes Experience with design tools such as Revit, Civil 3D, and Navisworks Additional experience (beneficial, but not essential): Other CDEs (e.g. Viewpoint for Projects, Business Collaborator, BIM 360) Other CAD/BIM software (e.g. Asta Powerproject, Synchro) Data analytics tools such as Power BI What's in it for you? Below is a selection of benefits that are available to you at Morgan Sindall Infrastructure. Generous holiday entitlement with the option to buy five days Flexible and adaptable working Family friendly policies and work/life approach Mentoring programmes and continuous learning support Contributory pension scheme Recognition scheme and long service awards Car scheme and Private Medical Insurance (if applicable to role) We also provide the option to participate in our share-save scheme; discounts including cycle to work and gym membership; a support and advice service for colleagues and their families, and more. Millions of people rely on Britain's rail network to take them safely and efficiently across the country every day. Morgan Sindall helps this happen by providing renewed and enhanced rail infrastructure with the minimum of passenger disruption. Our customers receive a multi-disciplined service covering electrification, power supply, tunnelling and a full range of civil engineering and building capabilities including structures, lineside infrastructure, and station enhancements. This is complemented by track and signalling works from our supply chain partners to provide a complete rail offering. Our expertise is focused not only on effective delivery of projects within a railway environment, but also on minimising disruption for railway users through the adoption of innovative working practices and techniques. These include 'live launch' bridge construction, in which we can install bridges while allowing railways beneath to remain operational. From landmark station refurbishment projects and platform extensions to tunnelling works and bridge launches, we have a track record of delivering rail projects that are helping to provide a rail network fit for the 21st century. Morgan Sindall is an equal opportunities employer and has been accredited with the Positive About Disabled People 'Two Ticks' accreditation. We are also an Investors in People company. Morgan Sindall is unable to employ anyone who does not have the legal right to live and work in the UK.
Research Fellow in Artificial Intelligence for Healthcare Location: Guildford, Surrey, United Kingdom General Description: The University of Surrey is seeking to appoint a Research Fellow in Artificial Intelligence for Healthcare within its School of Computer Science and Electronic Engineering. This role offers an exciting opportunity to contribute to innovative interdisciplinary research focused on applying artificial intelligence and data-driven methodologies to healthcare challenges. The successful candidate will work within a collaborative research environment, contributing to projects that leverage AI, machine learning, and data analytics to improve healthcare delivery, diagnostics, and patient outcomes. The role involves developing novel computational models, analysing complex healthcare datasets, and collaborating with academic, clinical, and industry partners. Responsibilities include conducting high-quality independent and collaborative research, contributing to grant-funded projects, publishing in leading academic journals, and presenting findings at conferences. The postholder will also support the development of research proposals and contribute to the broader academic mission of the institution. This position is offered on a fixed-term basis and provides access to state-of-the-art facilities and a vibrant research community, fostering professional growth and interdisciplinary engagement. Eligibility Criteria: A PhD (or near completion) in Computer Science, Artificial Intelligence, Data Science, or a closely related discipline Demonstrated experience in AI, machine learning, or data science research Experience working with healthcare or biomedical datasets (desirable) Strong publication record or evidence of research outputs Ability to work independently and collaboratively within multidisciplinary teams Strong organisational and project management skills Required Expertise/Skills: Proficiency in programming languages such as Python Experience with machine learning and deep learning frameworks Data analysis, modelling, and algorithm development Knowledge of healthcare data systems and standards (desirable) Strong analytical and problem-solving skills Scientific writing and communication skills Ability to translate research into practical applications Salary Details: £37,099 to £44,263 per annum
Apr 17, 2026
Full time
Research Fellow in Artificial Intelligence for Healthcare Location: Guildford, Surrey, United Kingdom General Description: The University of Surrey is seeking to appoint a Research Fellow in Artificial Intelligence for Healthcare within its School of Computer Science and Electronic Engineering. This role offers an exciting opportunity to contribute to innovative interdisciplinary research focused on applying artificial intelligence and data-driven methodologies to healthcare challenges. The successful candidate will work within a collaborative research environment, contributing to projects that leverage AI, machine learning, and data analytics to improve healthcare delivery, diagnostics, and patient outcomes. The role involves developing novel computational models, analysing complex healthcare datasets, and collaborating with academic, clinical, and industry partners. Responsibilities include conducting high-quality independent and collaborative research, contributing to grant-funded projects, publishing in leading academic journals, and presenting findings at conferences. The postholder will also support the development of research proposals and contribute to the broader academic mission of the institution. This position is offered on a fixed-term basis and provides access to state-of-the-art facilities and a vibrant research community, fostering professional growth and interdisciplinary engagement. Eligibility Criteria: A PhD (or near completion) in Computer Science, Artificial Intelligence, Data Science, or a closely related discipline Demonstrated experience in AI, machine learning, or data science research Experience working with healthcare or biomedical datasets (desirable) Strong publication record or evidence of research outputs Ability to work independently and collaboratively within multidisciplinary teams Strong organisational and project management skills Required Expertise/Skills: Proficiency in programming languages such as Python Experience with machine learning and deep learning frameworks Data analysis, modelling, and algorithm development Knowledge of healthcare data systems and standards (desirable) Strong analytical and problem-solving skills Scientific writing and communication skills Ability to translate research into practical applications Salary Details: £37,099 to £44,263 per annum
London Hybrid (2-3 Days in Office) Full-Time The Opportunity A growing and well-funded software organisation is seeking a Senior Data Engineer to help design, build and secure its modern data platform. The business delivers technology solutions that support public sector and regulated organisations in improving operational efficiency and compliance. Following significant investment and expansion, the company is focused on strengthening its data infrastructure and scaling advanced analytics capabilities. This is an opportunity to play a key role in shaping a scalable, secure and high-performing data environment, working closely with engineering, analytics and product teams. The Role You will design, implement and secure a modern cloud-based data platform (Databricks, pipelines and governance frameworks), ensuring that data is: Accurate Accessible Secure and compliant Cost-effective at scale This is a hands on engineering role with architectural input, suited to someone comfortable building platforms from the ground up in production environments handling large scale datasets. Key Responsibilities Architect and build end to end data pipelines, data lakes and warehouses on Databricks (Azure environment) Integrate ETL/ELT tools and cloud services to create scalable data workflows Establish standardised processes for: Data modelling Quality assurance Versioning Orchestration (e.g. dbt, Airflow, Unity Catalog) Security & Governance Implement security best practices including: Role based access control (RBAC) Data encryption and masking Compliance with GDPR and relevant standards Support governance frameworks ensuring integrity and compliance at scale Performance & Optimisation Optimise platform performance, cost efficiency and scalability Support real time and large scale data processing Automate monitoring, alerting and recovery processes Drive CI/CD adoption for data pipelines and infrastructure as code Work closely with data scientists, analysts and business stakeholders to define data requirements and SLAs Contribute to proof of concept reporting where required Translate business needs into robust technical solutions Experience & Technical Skills 5+ years' experience in data engineering At least 2 years operating in a senior or lead capacity Proven experience building data platforms from scratch in production environments Strong experience with Azure Databricks, Spark and Python Experience with MySQL, PostgreSQL and MSSQL Strong experience troubleshooting complex data issues and optimising queries Experience working in agile, fast paced tech or data driven environments Experience with dbt, Airflow or similar orchestration tools Experience building basic reports for proof of concept work Personal Attributes Security first mindset with strong ethical data handling principles Comfortable operating in ambiguity and owning end to end delivery Strong analytical and problem solving skills Collaborative team player with strong communication skills Eager to stay current with emerging data technologies Committed to continuous improvement What's on Offer Competitive market salary 25 days annual leave Additional "Moments in Time" days Life assurance (4x base salary) Additional leave linked to length of service Diversity & Inclusion The organisation is an equal opportunities employer and makes recruitment decisions based on skills, qualifications and experience. Applications are welcomed from all suitably qualified candidates. Please note that applicants must have the right to work in the UK. Send us an email or give us a call to discuss your recruitment needs
Apr 16, 2026
Full time
London Hybrid (2-3 Days in Office) Full-Time The Opportunity A growing and well-funded software organisation is seeking a Senior Data Engineer to help design, build and secure its modern data platform. The business delivers technology solutions that support public sector and regulated organisations in improving operational efficiency and compliance. Following significant investment and expansion, the company is focused on strengthening its data infrastructure and scaling advanced analytics capabilities. This is an opportunity to play a key role in shaping a scalable, secure and high-performing data environment, working closely with engineering, analytics and product teams. The Role You will design, implement and secure a modern cloud-based data platform (Databricks, pipelines and governance frameworks), ensuring that data is: Accurate Accessible Secure and compliant Cost-effective at scale This is a hands on engineering role with architectural input, suited to someone comfortable building platforms from the ground up in production environments handling large scale datasets. Key Responsibilities Architect and build end to end data pipelines, data lakes and warehouses on Databricks (Azure environment) Integrate ETL/ELT tools and cloud services to create scalable data workflows Establish standardised processes for: Data modelling Quality assurance Versioning Orchestration (e.g. dbt, Airflow, Unity Catalog) Security & Governance Implement security best practices including: Role based access control (RBAC) Data encryption and masking Compliance with GDPR and relevant standards Support governance frameworks ensuring integrity and compliance at scale Performance & Optimisation Optimise platform performance, cost efficiency and scalability Support real time and large scale data processing Automate monitoring, alerting and recovery processes Drive CI/CD adoption for data pipelines and infrastructure as code Work closely with data scientists, analysts and business stakeholders to define data requirements and SLAs Contribute to proof of concept reporting where required Translate business needs into robust technical solutions Experience & Technical Skills 5+ years' experience in data engineering At least 2 years operating in a senior or lead capacity Proven experience building data platforms from scratch in production environments Strong experience with Azure Databricks, Spark and Python Experience with MySQL, PostgreSQL and MSSQL Strong experience troubleshooting complex data issues and optimising queries Experience working in agile, fast paced tech or data driven environments Experience with dbt, Airflow or similar orchestration tools Experience building basic reports for proof of concept work Personal Attributes Security first mindset with strong ethical data handling principles Comfortable operating in ambiguity and owning end to end delivery Strong analytical and problem solving skills Collaborative team player with strong communication skills Eager to stay current with emerging data technologies Committed to continuous improvement What's on Offer Competitive market salary 25 days annual leave Additional "Moments in Time" days Life assurance (4x base salary) Additional leave linked to length of service Diversity & Inclusion The organisation is an equal opportunities employer and makes recruitment decisions based on skills, qualifications and experience. Applications are welcomed from all suitably qualified candidates. Please note that applicants must have the right to work in the UK. Send us an email or give us a call to discuss your recruitment needs
Job Title: Accountant Location: Warton or Samlesbury - Hybrid, 3 days on site We offer a range of hybrid and flexible working arrangements - please speak to your recruiter about the options for this particular role. Salary: £51,772+ (DOE) Who we are: Join BAE Systems and you'll be part of something bigger. As a valued member of our global colleague network, you'll bring your unique skills and perspectives to help pioneer progress and protect what matters most. You'll be trusted to play your part in delivering the advanced, technology-led defence, aerospace and security solutions of tomorrow, shaping a safer future, for all of us. From the depths of the ocean, to the far reaches of space, there's no limit to where a career at BAE Systems could take you. Job Description: You'll join a collaborative Project Finance Capability Centre supporting a diverse portfolio of advanced air programmes, from manufacturing and engineering to long-term service delivery. Working within cross-functional teams, you'll provide financial insight and analysis , using digital tools, dashboards and data to support decision -making and drive project performance. You'll contribute across the full project lifecycle, from planning and forecasting to reporting and continuous improvement, helping deliver high-value outcomes for the business and its customers. This role offers excellent exposure across the Air sector, opportunities to influence key decisions and considerable support for professional development, including funded qualifications and study support. Core duties: Producing financial reports and forecasts, supporting project performance tracking and informed business strategy-making Evaluating project data and trends, providing insights to improve cost control and overall programme delivery Collaborating with cross-functional teams, supporting financial planning across engineering, manufacturing and service delivery areas Maintaining accurate financial records, ensuring timely reporting and alignment with governance and project requirements Developing dashboards and analytics, supporting a data-driven approach to improve performance and operational efficiency Essential Skills: Part or fully qualified accountant (CIMA, ACA, ICAS or ICAEW), or currently working toward qualification Ample data assessment skills, with ability to interpret, present and communicate insights to stakeholders Experience in financial planning, reporting and forecasting within project or business finance environments Ability to influence senior stakeholders, communicating risks, performance and recommendations with clarity and certainty Good organisational skills, overseeing workload effectively within a matrix environment and supporting multiple priorities The Project Finance Capability Centre Team: Working at the centre of high-impact Air programmes, this function delivers critical financial insight that shapes major production, engineering and service activities. By supporting data-driven strategies, improving performance and enabling growth, it plays a vital role in driving innovation, efficiency and long-term success across the business. Why BAE Systems? Here you'll build a career with purpose and limitless possibilities. With lifelong learning and meaningful work, this is a place where you can grow your career with confidence and be empowered to be your best. You'll be recognised for your contribution and enjoy rewards tailored to what's most important to you and your family, support for your financial and personal wellbeing, as well as a balanced lifestyle. In an environment embracing sustainable ways of working and with a strong sense of shared purpose, our supportive culture is a place you can feel you belong and proud of the difference you make. A place where everyone can thrive: We're committed to building an inclusive workplace where everyone feels valued and supported. We know that a diversity of backgrounds, perspectives and experiences strengthens our teams and is vital to the work we do. Please be aware that many roles at BAE Systems are subject to both security and export control restrictions. These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are eligible to perform within the organisation. All applicants must as a minimum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role , to allow for meaningful security vetting checks. Closing Date: 30th April 2026 We reserve the right to close this vacancy early if we receive sufficient applications for the role . Therefore, if you are interested, please submit your application as early as possible.
Apr 16, 2026
Full time
Job Title: Accountant Location: Warton or Samlesbury - Hybrid, 3 days on site We offer a range of hybrid and flexible working arrangements - please speak to your recruiter about the options for this particular role. Salary: £51,772+ (DOE) Who we are: Join BAE Systems and you'll be part of something bigger. As a valued member of our global colleague network, you'll bring your unique skills and perspectives to help pioneer progress and protect what matters most. You'll be trusted to play your part in delivering the advanced, technology-led defence, aerospace and security solutions of tomorrow, shaping a safer future, for all of us. From the depths of the ocean, to the far reaches of space, there's no limit to where a career at BAE Systems could take you. Job Description: You'll join a collaborative Project Finance Capability Centre supporting a diverse portfolio of advanced air programmes, from manufacturing and engineering to long-term service delivery. Working within cross-functional teams, you'll provide financial insight and analysis , using digital tools, dashboards and data to support decision -making and drive project performance. You'll contribute across the full project lifecycle, from planning and forecasting to reporting and continuous improvement, helping deliver high-value outcomes for the business and its customers. This role offers excellent exposure across the Air sector, opportunities to influence key decisions and considerable support for professional development, including funded qualifications and study support. Core duties: Producing financial reports and forecasts, supporting project performance tracking and informed business strategy-making Evaluating project data and trends, providing insights to improve cost control and overall programme delivery Collaborating with cross-functional teams, supporting financial planning across engineering, manufacturing and service delivery areas Maintaining accurate financial records, ensuring timely reporting and alignment with governance and project requirements Developing dashboards and analytics, supporting a data-driven approach to improve performance and operational efficiency Essential Skills: Part or fully qualified accountant (CIMA, ACA, ICAS or ICAEW), or currently working toward qualification Ample data assessment skills, with ability to interpret, present and communicate insights to stakeholders Experience in financial planning, reporting and forecasting within project or business finance environments Ability to influence senior stakeholders, communicating risks, performance and recommendations with clarity and certainty Good organisational skills, overseeing workload effectively within a matrix environment and supporting multiple priorities The Project Finance Capability Centre Team: Working at the centre of high-impact Air programmes, this function delivers critical financial insight that shapes major production, engineering and service activities. By supporting data-driven strategies, improving performance and enabling growth, it plays a vital role in driving innovation, efficiency and long-term success across the business. Why BAE Systems? Here you'll build a career with purpose and limitless possibilities. With lifelong learning and meaningful work, this is a place where you can grow your career with confidence and be empowered to be your best. You'll be recognised for your contribution and enjoy rewards tailored to what's most important to you and your family, support for your financial and personal wellbeing, as well as a balanced lifestyle. In an environment embracing sustainable ways of working and with a strong sense of shared purpose, our supportive culture is a place you can feel you belong and proud of the difference you make. A place where everyone can thrive: We're committed to building an inclusive workplace where everyone feels valued and supported. We know that a diversity of backgrounds, perspectives and experiences strengthens our teams and is vital to the work we do. Please be aware that many roles at BAE Systems are subject to both security and export control restrictions. These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are eligible to perform within the organisation. All applicants must as a minimum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role , to allow for meaningful security vetting checks. Closing Date: 30th April 2026 We reserve the right to close this vacancy early if we receive sufficient applications for the role . Therefore, if you are interested, please submit your application as early as possible.
