City of London, Greater London, UK Hybrid / WFH Options
Ascentia Partners
practices. Streamline processes to enhance efficiency and scalability across the pricing data ecosystem. Skills: Essential: A degree in Mathematics, Computer Science, Engineering, or a related discipline. Strong proficiency in SQL and Python (or another object-oriented programming language). Demonstrated experience in designing and managing ETL/ELT pipelines. Exceptional attention to detail, with a focus on data accuracy and More ❯
stage startup environments, ideally B2B SaaS Strong knowledge of modern frameworks (especially React) Experience building and maintaining APIs (REST/GraphQL), including documentation and SDKs Solid understanding of databases (SQL and NoSQL) and server-side development Experience deploying and managing applications on cloud platforms (AWS, Azure, or GCP) What We're Looking For Ability to thrive in ambiguity, move fast More ❯
requirements: Over 4 years experience working with Java, React, Javascript, Python Experience using Cloud-based architecture, AWS or Azure DevOps Automated Tools, Jenkins, Docker, OpenShift or Kubernetes Experience using SQL, MongoDB or Elasticsearch Experience using Testing technologies, Cypress, Selenium or Cucumber I have interview slots already pre-booked so suitable candidates will be interviewed next week with a quick turnaround More ❯
requirements: Over 4 years of experience working with Java, React, Javascript Experience using Cloud-based architecture, AWS or Azure DevOps Automated Tools, Jenkins, Docker, OpenShift or Kubernetes Experience using SQL, MongoDB or Elasticsearch Experience using Testing technologies, Cypress, Selenium or Cucumber I have interview slots already pre-booked so suitable candidates will be interviewed next week with a quick turnaround More ❯
the direction of our clients architecture, scalability and security. Key Requirements: Strong hands-on Python experience with a solid understanding of modern data tools. Extensive experience working with both SQL and NoSQL databases. Exposure to cloud services, infrastructure as code and CI/CD pipelines. Strong understanding of data modelling and API development. Excellent communication skills with a collaborative approach More ❯
Senior Full Stack Engineer | Node.js & SQL | DataHeavy FinTech Platform Youll join a 50person, London/US SaaS scaleup serving toptier investment firms with a marketleading, data analytics platform for global credit investors (think Reuters and Bloomberg) The engineering org is Londonbased (circa 1314 people across DevOps, Frontend, AI/ML, Backend, and QA). Everything is the latest and greatest … own services to production, and contribute to how massive datasets are modelled, partitioned, and served to customers. NonNegotiables: 810 years software engineering experience across multiple environments Node.js backend development SQL mastery with experience of working with largescale, dataheavy systems (our client has billions of rows) Architectural design experience and comfort with frequent releases/peer review Product mindset and ownership … team events; cycle to work; choice of quality hardware A great role here and the chance to work with an awesome team. Apply ASAP! Senior Full Stack Engineer | Node.js & SQL | DataHeavy FinTech Platform More ❯
methods. Practical knowledge of chunking strategies, indexing, precision/recall trade-offs, reranking, and evaluation techniques. Proficient in Python (FastAPI) and React/Next.js . Solid experience with both SQL and NoSQL databases (Postgres, DynamoDB, etc.). Exposure to LLMs, embeddings, and vector search APIs . Strong understanding of data engineering , schema design, ETL, and optimisation. Proficiency with cloud (AWS … ECS). Knowledge of secure coding practices and managing sensitive data. Excellent communication, problem-solving, and leadership skills. Nice to have Experience with rerankers (e.g., cross-encoders), hybrid retrieval (SQL + vectors), query expansion, or lightweight knowledge graphs. Familiarity with LLM evaluation tooling (LangChain, LlamaIndex, OpenAI Evals) and observability for cost, relevance, and latency. Background in B2B data products or More ❯
