1 to 25 of 608 SaaS Jobs in the Thames Valley

lakehouse, warehouse, and streaming data architectures. Working knowledge of SQL, Python, and relevant data engineering frameworks (e.g. Databricks, Synapse, Snowflake, Redshift). Experience designing data platforms leveraging PaaS and SaaS solutions. Solid understanding of information governance, metadata management, and master data management principles. Experience leading data design across full project lifecycles (Discovery, Alpha, Beta, Live). Strong understanding of API More ❯

Profile Essential skills/knowledge/experience: Proven experience in Azure cloud migration projects. Strong Experience in .Net Core, Angular, and SQL. Strong knowledge of Azure IaaS, PaaS, and SaaS offerings. Expertise in designing solutions using Azure App Services, Application Gateway, Azure Functions, Logic Apps, and Azure SQL databases. Experience with microservices architecture, and API Management. Strong understanding of Azure More ❯

Senior Full Stack Engineer | Node.js & SQL | Data‐Heavy FinTech Platform You’ll join a 50‐person, London/US SaaS scale‐up serving top‐tier investment firms with a market‐leading, data analytics platform for global credit investors (think Reuters and Bloomberg) The engineering org is London‐based (circa 13–14 people across DevOps, Frontend, AI/ML, Backend, and More ❯

modular application architectures. Integration & APIs: Experience with RESTful APIs, microservices, and system integration patterns. Cloud Platforms: Experience with cloud services (e.g., Microsoft Azure, AWS, Google Cloud) including PaaS and SaaS offerings. DevOps Practices: CI/CD pipelines, infrastructure as code, automated testing, and monitoring tools. In return we offer a fantastic benefits package including: Up to 10% employer pension contribution More ❯

modular application architectures. Integration & APIs: Experience with RESTful APIs, microservices, and system integration patterns. Cloud Platforms: Experience with cloud services (e.g., Microsoft Azure, AWS, Google Cloud) including PaaS and SaaS offerings. DevOps Practices: CI/CD pipelines, infrastructure as code, automated testing, and monitoring tools. The Curve Group is a dynamic Recruitment Services and Human Resources business with a mission More ❯

modular application architectures. Integration & APIs: Experience with RESTful APIs, microservices, and system integration patterns. Cloud Platforms: Experience with cloud services (e.g., Microsoft Azure, AWS, Google Cloud) including PaaS and SaaS offerings. DevOps Practices: CI/CD pipelines, infrastructure as code, automated testing, and monitoring tools. The Curve Group is a dynamic Recruitment Services and Human Resources business with a mission More ❯

end user’s device and Sizewell C various offices and sites. Configuration of Data Lake storage, ensuring security hardening. Compliance of backup and restoration. Integration of IAAS, PAAS and SAAS application with Microsoft Entra ID (AAD) for secure access through SAML SSO. Maintain the lifecycle of Enterprise Application and App registration certificate. Closely working With Security Architect and Team to More ❯

automation and Infrastructure as Code, and a passion for continuous improvement across all aspects of cloud operations. Key Responsibilities Cloud Infrastructure Operations: Manage and monitor daily operations across Azure SaaS, IaaS, and PaaS environments. FinOps & Cost Optimisation: Implement best practices to monitor usage, optimise costs, and forecast spend, aligning cloud consumption with business goals. Disaster Recovery & Backup: Design and test More ❯

management. Familiarity with modern IT practices such as Agile, DevOps, and ITIL. Working knowledge of microservices, event-driven architectures, SOA, APIs, and cloud-based services (IaaS/PaaS/SaaS). Strong interpersonal and leadership skills, with the ability to collaborate, influence, and challenge stakeholders. Ability to distil complex problems into clear technical and strategic solutions. Strong business acumen and More ❯

integration. Extensive experience with Application Architecture and Enterprise Application Architecture tooling (e.g. ArchiMate, Sparx, Ardoq, BizzDesign). Experience of architecting solutions in multiple cloud and on-prem platforms, including Saas, IaaS, and PaaS Excellent analytical, planning, and communication skills, with the ability to influence both technical and non-technical stakeholders. Significant experience of developing architecture documents, strategies and roadmaps Leading More ❯

and non-technical team members A passion for building robust, efficient software and a desire to continuously improve your skills and knowledge Familiarity with financial technologies, payment systems, or SaaS products Experience with continuous integration/continuous deployment (CI/CD) pipelines Desirable Experience delivering challenging integrations with 3rd party systems Understanding of event-driven system design Why Ontik? At More ❯

and risk management solutions is a nice to have Experience designing and building customer facing applications/components Self-starter who is enthusiastic for software work in a software-as-a-service company. Driven by client satisfaction. Strong teamwork skills. Ability to manage own time and deliver expected results on time. Commitment to continuous learning and improvement. Exceptional analytical skills. More ❯

Senior Data Engineer – (AI/ML Deployment Experience Required) Location: London (Hybrid: Monday–Wednesday in office) Salary: £65,000–£75,000 DoE Job Ref: J13026 An AI-first SaaS company on a mission to help organisations unlock the full potential of their first-party data is seeking a forward-thinking Senior Data Engineer with strong deployment experience to help manage More ❯

such as Open-source Kafka, Cloudera Kafka, AWS MSK, etc. • Solid understanding of Kafka architecture and operational management in enterprise environments. • Experience in professional services or implementation consulting for SaaS products, especially involving data integration, streaming, or enterprise architecture Personal Besides the professional qualifications of the candidates we place great importance in addition to various forms personality profile. These include More ❯

these technologies, e.g., Dell Boomi, Snap Logic, MuleSoft, APIGEE, AWS, Microsoft Azure, SQL/DB, Salesforce, Java/JavaScript, BI/Analytics, etc. (Preferred but not mandatory) Understanding of SaaS, iPaaS, and Data platforms like Salesforce, NetSuite, Boomi, Apigee, Snowflake, Azure Data Platform, etc. (Preferred but not mandatory) Experience in Designing Solutions, Requirements Gathering, Team Leadership, Training & Development, Technical Document More ❯

Senior Data Engineer London (Hybrid) Up to £80k DOE About the Company We’re partnered with a rapidly scaling AI-driven SaaS business that helps global enterprises unlock the potential of their data. They are entering a really exciting next phase of expansion - scaling their platform, deepening automation and developing their AI solutions. About the Role This business is looking More ❯

Location: London/Hybrid – Office two days per week About Clariti AI Clariti AI is a B2B SaaS company providing price optimisation software to retail banks. We help banks make pricing decisions on products like mortgages and savings. Our pricing software provides clients with price recommendations that are worth millions of Pounds or Euros in additional revenue. This is an More ❯

+ performance bonus + excellent benefits Tech: .NET 6/7, C#, AWS, REST APIs, SQL, CI/CD, Microservices The Opportunity We are partnering with a fast-growing SaaS company in Central London that is expanding its engineering team and looking for a Junior .NET Software Engineer who is eager to learn, grow, and work with modern technologies. This More ❯

CI/CD workflows, and containerised development. Excellent communication and problem-solving skills. Bonus Points For: Experience in AI-driven or automation-heavy environments. Exposure to PropTech, data-heavy SaaS platforms, or real-world workflow automation. Familiarity with microservices and orchestration tools (Docker, Kubernetes). What’s on Offer: Competitive salary + equity options. The opportunity to help shape the More ❯

compliance, and cost optimisation (FinOps). Plan and deliver projects using Agile methodologies. Required Skills & Experience 3+ years hands-on experience with AWS. Hands on leadership experience, ideally within SaaS environments (this is a huge bonus!) Strong experience with Terraform, Ansible, and Infrastructure-as-Code and CI/CD tools (e.g., GitHub Actions, Jenkins, Azure DevOps) Solid understanding of cloud More ❯

compliance, and cost optimisation (FinOps). Plan and deliver projects using Agile methodologies. Required Skills & Experience 3+ years hands-on experience with AWS. Hands on leadership experience, ideally within SaaS environments (this is a huge bonus!) Strong experience with Terraform, Ansible, and Infrastructure-as-Code and CI/CD tools (e.g., GitHub Actions, Jenkins, Azure DevOps) Solid understanding of cloud More ❯

compliance, and cost optimisation (FinOps). Plan and deliver projects using Agile methodologies. Required Skills & Experience 3+ years hands-on experience with AWS. Hands on leadership experience, ideally within SaaS environments (this is a huge bonus!) Strong experience with Terraform, Ansible, and Infrastructure-as-Code and CI/CD tools (e.g., GitHub Actions, Jenkins, Azure DevOps) Solid understanding of cloud More ❯

strategy, or global business operations. Proven track record of leading large-scale, cross-regional digital initiatives and managing P&L at a global level. Deep understanding of digital platforms, SaaS ecosystems, and customer experience strategies. Exceptional leadership, communication, and stakeholder management skills, with the ability to influence at all levels of the organization. Strong analytical and strategic thinking capabilities, with More ❯

processes, and best practices for improved adoption and efficiency. Qualifications: At least: 2-3 years in sales operations, business analysis, or a related role, preferably in a tech or SaaS environment. Education: Bachelor’s degree in Business, Data Analytics, Finance, or a related field is preferred. Analytical Skills: Strong analytical and problem-solving skills with proficiency in data analysis tools More ❯

Data Engineer London (Hybrid) Up to £60k DOE About the Company We’re partnered with a rapidly scaling AI-driven SaaS business that helps global enterprises unlock the potential of their data. They are entering a really exciting next phase of expansion - scaling their platform, deepening automation and developing their AI solutions. About the Role This business is looking to More ❯