1 to 25 of 49 Data Structures Jobs in the City of London

Senior Data Engineer – Insurance Sector Location: Hybrid (London-based with flexible working) Salary: £85K -£100K – this is dependent on skills and experience Join a growing data team that’s transforming how the insurance industry uses data to make smarter, faster decisions. As a Senior Data Engineer , you’ll design and deliver scalable, high-performing data … pipelines, models, and architectures that bring structure, speed, and accuracy to complex insurance data. This is a fantastic opportunity to make a real impact while shaping the future of data engineering within a forward-thinking organisation. What You’ll Be Doing Partnering with analysts and product owners to turn business needs into scalable data solutions. Designing and maintaining … robust data pipelines and models for analytics and reporting. Applying best practices in data architecture, security, and performance. Working with modern tools including Azure, Databricks, Python, Azure DevOps, Unity Catalog, and SQL . Supporting data governance through cataloguing, lineage, and compliance frameworks. Mentoring junior engineers and contributing to the team’s technical roadmap. What You’ll Bring More ❯

Senior Data Engineer – Insurance Sector Location: Hybrid (London-based with flexible working) Salary: £85K -£100K – this is dependent on skills and experience Join a growing data team that’s transforming how the insurance industry uses data to make smarter, faster decisions. As a Senior Data Engineer , you’ll design and deliver scalable, high-performing data … pipelines, models, and architectures that bring structure, speed, and accuracy to complex insurance data. This is a fantastic opportunity to make a real impact while shaping the future of data engineering within a forward-thinking organisation. What You’ll Be Doing Partnering with analysts and product owners to turn business needs into scalable data solutions. Designing and maintaining … robust data pipelines and models for analytics and reporting. Applying best practices in data architecture, security, and performance. Working with modern tools including Azure, Databricks, Python, Azure DevOps, Unity Catalog, and SQL . Supporting data governance through cataloguing, lineage, and compliance frameworks. Mentoring junior engineers and contributing to the team’s technical roadmap. What You’ll Bring More ❯

this role, you will: Design, develop and train large multimodal machine learning models across all stages: pre-training, post-training, evaluations and inference. Work closely with clients to understand data and model architecture requirements for their business needs. Be given a high degree of autonomy and ownership over your work. Co-hire your future colleagues. Work closely with the … and contribute towards best practices, standards, and culture of the company. What we are looking for: Research engineering: 5+ years of industry experience in complex machine learning projects including data processing and training models in a distributed environment. LLMs: Deep understanding of LLM architectures, pre and/or post-training, evaluations and inference. Programming languages: Excellent proficiency in Python … problems, including product integration. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability to apply them to optimise production systems. Problem solving More ❯

this role, you will: Design, develop and train large multimodal machine learning models across all stages: pre-training, post-training, evaluations and inference. Work closely with clients to understand data and model architecture requirements for their business needs. Be given a high degree of autonomy and ownership over your work. Co-hire your future colleagues. Work closely with the … and contribute towards best practices, standards, and culture of the company. What we are looking for: Research engineering: 5+ years of industry experience in complex machine learning projects including data processing and training models in a distributed environment. LLMs: Deep understanding of LLM architectures, pre and/or post-training, evaluations and inference. Programming languages: Excellent proficiency in Python … problems, including product integration. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability to apply them to optimise production systems. Problem solving More ❯

this role, you will: Design, develop and train large multimodal machine learning models across all stages: pre-training, post-training, evaluations and inference. Work closely with clients to understand data and model architecture requirements for their business needs. Be given a high degree of autonomy and ownership over your work. Co-hire your future colleagues. Work closely with the … founding team and contribute towards best practices, standards, and culture of the company. What we are looking for: Research engineering: Industry experience in complex machine learning projects including data processing and training models in a distributed environment. LLMs: Understanding of LLM architectures, pre and/or post-training, evaluations and inference. Programming languages: Proficiency in Python using PyTorch/… TensorFlow/JAX framework. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability to apply them to optimise production systems. Problem solving More ❯

this role, you will: Design, develop and train large multimodal machine learning models across all stages: pre-training, post-training, evaluations and inference. Work closely with clients to understand data and model architecture requirements for their business needs. Be given a high degree of autonomy and ownership over your work. Co-hire your future colleagues. Work closely with the … founding team and contribute towards best practices, standards, and culture of the company. What we are looking for: Research engineering: Industry experience in complex machine learning projects including data processing and training models in a distributed environment. LLMs: Understanding of LLM architectures, pre and/or post-training, evaluations and inference. Programming languages: Proficiency in Python using PyTorch/… TensorFlow/JAX framework. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability to apply them to optimise production systems. Problem solving More ❯

this role, you will: Design, develop and train large multimodal machine learning models across all stages: pre-training, post-training, evaluations and inference. Work closely with clients to understand data and model architecture requirements for their business needs. Be given a high degree of autonomy and ownership over your work. Co-hire your future colleagues. Work closely with the … contribute towards best practices, standards, and culture of the company. What we are looking for: Research engineering: 2-3 years of industry experience in complex machine learning projects including data processing and training models in a distributed environment. LLMs: Strong understanding of LLM architectures, pre and/or post-training, evaluations and inference. Programming languages: Excellent proficiency in Python … problems, including product integration. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability to apply them to optimise production systems. Problem solving More ❯

this role, you will: Design, develop and train large multimodal machine learning models across all stages: pre-training, post-training, evaluations and inference. Work closely with clients to understand data and model architecture requirements for their business needs. Be given a high degree of autonomy and ownership over your work. Co-hire your future colleagues. Work closely with the … contribute towards best practices, standards, and culture of the company. What we are looking for: Research engineering: 2-3 years of industry experience in complex machine learning projects including data processing and training models in a distributed environment. LLMs: Strong understanding of LLM architectures, pre and/or post-training, evaluations and inference. Programming languages: Excellent proficiency in Python … problems, including product integration. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability to apply them to optimise production systems. Problem solving More ❯

experience and skills: Oracle Cloud General Ledger, Asset Management & Subledger Accounting Strong experience in implementing Oracle Cloud Record to Report and Asset Management solutions. Experience with design of enterprise structures and chart of accounts and local reporting Understanding of finance data structures, data migration and integration. Understanding of finance processes and challenges. Great communication and client … and Agents An appreciation of the influence of user experience-based design e.g. Personas, user journeys and how this can be used to augment a solution Experience with functional data conversion, transformation and reconciliation An understanding of the functional, application and technical implementation approach elements of an Oracle Cloud ERP programme What’s in it for you At Accenture More ❯

experience and skills: Oracle Cloud General Ledger, Asset Management & Subledger Accounting Strong experience in implementing Oracle Cloud Record to Report and Asset Management solutions. Experience with design of enterprise structures and chart of accounts and local reporting Understanding of finance data structures, data migration and integration. Understanding of finance processes and challenges. Great communication and client … and Agents An appreciation of the influence of user experience-based design e.g. Personas, user journeys and how this can be used to augment a solution Experience with functional data conversion, transformation and reconciliation An understanding of the functional, application and technical implementation approach elements of an Oracle Cloud ERP programme What’s in it for you At Accenture More ❯

Produce high quality, modular code, and deploy following our established DevOps CI/CD and best practices. Improve the efficiency, performance, and scalability of ML & NLP models (this includes data quality, ingestion, loading, cleaning, and processing). Stay up-to-date with ML & NLP research, and experiment with new models and techniques. Perform code-reviews for your colleague’s … profiles/online portfolios and the interview process itself). Bonus points for Stack Overflow and Kaggle contributions! What we are looking for Experience analysing large volumes of textual data (almost all of our use cases will involve NLP) 🔠 Ability to write clear, robust, and testable code, especially in Python 🐍 Familiarity with SQL and NoSQL/graph databases 🏦 Extensive … systems thinking approach 🌐, with passion for MLOps best practises 🌀 An engineer that can think in O(n) as much as plan the orchestration of their product. Solid understanding of data structures, data modelling, and software architecture, especially cloud-based. 🏛️ An engineer that can keep up with mathematically and statistically-oriented colleagues 🔢 A healthy sense of humour. APPLY More ❯

Produce high quality, modular code, and deploy following our established DevOps CI/CD and best practices. Improve the efficiency, performance, and scalability of ML & NLP models (this includes data quality, ingestion, loading, cleaning, and processing). Stay up-to-date with ML & NLP research, and experiment with new models and techniques. Perform code-reviews for your colleague’s … profiles/online portfolios and the interview process itself). Bonus points for Stack Overflow and Kaggle contributions! What we are looking for Experience analysing large volumes of textual data (almost all of our use cases will involve NLP) 🔠 Ability to write clear, robust, and testable code, especially in Python 🐍 Familiarity with SQL and NoSQL/graph databases 🏦 Extensive … systems thinking approach 🌐, with passion for MLOps best practises 🌀 An engineer that can think in O(n) as much as plan the orchestration of their product. Solid understanding of data structures, data modelling, and software architecture, especially cloud-based. 🏛️ An engineer that can keep up with mathematically and statistically-oriented colleagues 🔢 A healthy sense of humour. APPLY More ❯

Forward Deployed Engineer – London – Up to £100,000 per annum Are you a data-driven professional with a passion for delivering impactful solutions using Palantir Foundry? Do you excel in translating complex data challenges into actionable insights? If so, Morela has an exciting opportunity for you. Morela is proud to partner one of the fasted growing consultancies in … Europe, renowned for their innovative approach to data integration and analytics. As they continue to expand, they're seeking a skilled Forward Deployed Engineer to join their dynamic team. This role is perfect for someone who combines technical expertise with a consultative mindset, aiming to drive value across diverse projects. You'll be part of a forward-thinking consultancy … that operates at the intersection of advanced technology and real-world impact. Serving both public and private sectors, their services encompass strategic advisory, digital transformation, and end-to-end data engineering. As a Forward Deployed Engineer, you'll play a crucial role in designing and implementing data solutions that empower clients to make informed decisions. Core Responsibilities Data More ❯

Forward Deployed Engineer – London – Up to £100,000 per annum Are you a data-driven professional with a passion for delivering impactful solutions using Palantir Foundry? Do you excel in translating complex data challenges into actionable insights? If so, Morela has an exciting opportunity for you. Morela is proud to partner one of the fasted growing consultancies in … Europe, renowned for their innovative approach to data integration and analytics. As they continue to expand, they're seeking a skilled Forward Deployed Engineer to join their dynamic team. This role is perfect for someone who combines technical expertise with a consultative mindset, aiming to drive value across diverse projects. You'll be part of a forward-thinking consultancy … that operates at the intersection of advanced technology and real-world impact. Serving both public and private sectors, their services encompass strategic advisory, digital transformation, and end-to-end data engineering. As a Forward Deployed Engineer, you'll play a crucial role in designing and implementing data solutions that empower clients to make informed decisions. Core Responsibilities Data More ❯

and Agents An appreciation of the influence of user experience-based design e.g. Personas, user journeys and how this can be used to augment a solution Experience with functional data conversion, transformation and reconciliation An understanding of the functional, application and technical implementation approach elements of an Oracle Cloud ERP programme We are looking for the following experience and … EPBCS, ARCS EDMCS. Two or more years of experience in implementing Oracle Cloud EPM products. Understanding or experience of budgeting & forecasting processes, preferably in public sector Understanding of finance data structures, data migration and integration. Understanding of finance processes and challenges. Great communication and client-facing skills. What’s in it for you At Accenture in addition More ❯

and Agents An appreciation of the influence of user experience-based design e.g. Personas, user journeys and how this can be used to augment a solution Experience with functional data conversion, transformation and reconciliation An understanding of the functional, application and technical implementation approach elements of an Oracle Cloud ERP programme We are looking for the following experience and … EPBCS, ARCS EDMCS. Two or more years of experience in implementing Oracle Cloud EPM products. Understanding or experience of budgeting & forecasting processes, preferably in public sector Understanding of finance data structures, data migration and integration. Understanding of finance processes and challenges. Great communication and client-facing skills. What’s in it for you At Accenture in addition More ❯

looking for the following experience and skills: Oracle Cloud Procurement, Sourcing & Procurement Contracts. Solid experience in implementing Oracle Cloud Procurement, Sourcing & Procurement Contract . Understanding of procurement and sourcing data structures, data migration and integration. Understanding of procurement and sourcing processes and challenges. Great communication and client-facing skills. What’s in it for you At Accenture More ❯

looking for the following experience and skills: Oracle Cloud Procurement, Sourcing & Procurement Contracts. Solid experience in implementing Oracle Cloud Procurement, Sourcing & Procurement Contract . Understanding of procurement and sourcing data structures, data migration and integration. Understanding of procurement and sourcing processes and challenges. Great communication and client-facing skills. What’s in it for you At Accenture More ❯

and Agents An appreciation of the influence of user experience-based design e.g. Personas, user journeys and how this can be used to augment a solution Experience with functional data conversion, transformation and reconciliation An understanding of the functional, application and technical implementation approach elements of an Oracle Cloud ERP programme Job Qualifications We are looking for the following … experience and skills: Oracle Cloud Procurement & Accounts Payable Solid experience in implementing Oracle Cloud Procurement & Accounts Payable Understanding of procurement and payables data structures, data migration and integration. Understanding of procure to pay processes and challenges. Great communication and client-facing skills. What’s in it for you At Accenture in addition to a competitive basic salary More ❯

and Agents An appreciation of the influence of user experience-based design e.g. Personas, user journeys and how this can be used to augment a solution Experience with functional data conversion, transformation and reconciliation An understanding of the functional, application and technical implementation approach elements of an Oracle Cloud ERP programme Job Qualifications We are looking for the following … experience and skills: Oracle Cloud Procurement & Accounts Payable Solid experience in implementing Oracle Cloud Procurement & Accounts Payable Understanding of procurement and payables data structures, data migration and integration. Understanding of procure to pay processes and challenges. Great communication and client-facing skills. What’s in it for you At Accenture in addition to a competitive basic salary More ❯

shape the future of real estate technology. Role Responsibilities Architect, build, and optimise scalable ETL pipelines for diverse datasets. Onboard, document, and curate external datasets for internal use. Perform data validation, forensic analysis, and troubleshooting. Deliver high-quality, maintainable Python code and participate in peer reviews. Collaborate with stakeholders and researchers to support analytics and product development. Integrate data from APIs, S3 buckets, and structured/unstructured sources (JSON, CSV, Excel, PDF, Parquet). Join geospatial datasets with external data sources and apply complex transformations. Define validated data schemas and create clear documentation for partners and teams. Explore and evaluate new data engineering tools and technologies. Role Requirements 5+ years' experience in data engineering … analytics, or related roles. Strong proficiency in Python, with demonstrated experience on large-scale projects. Solid understanding of algorithms, data structures, and relational databases. Experience with test-driven development and Git version control. Portfolio of past work (GitHub contributions, open-source, blogs, or demos). Knowledge of data cleansing, validation, and basic statistics. Background in working with More ❯

Our platform simplifies all administrative tasks, allowing entrepreneurs and small business owners to manage their business admin effortlessly and without the usual complexities. By harnessing cutting-edge technology and data analytics, coupled with outstanding customer service, we provide a seamless experience that emphasises simplicity, efficiency, and rapid execution. Our goal is to remove obstacles, enabling you to achieve success … fostering a collaborative learning environment. API Development: Design and build RESTful API endpoints using NodeJS and Express, including detailed API documentation. Database Management: Design, optimize, and maintain complex SQL data models, ensuring efficient data structures, query performance, and reliability. Full-Stack Development: Develop responsive and performant front-end applications using ReactJS, focusing on UX/UI best … a proactive and solution-oriented mindset. Soft Skills: Excellent communication, organisational skills, and the ability to work independently or within a team. Preferred Qualifications Advanced Degrees: Master’s in Data Science or Software Engineering. Cloud & DevOps: Experience with AWS cloud services, Terraform, Docker, Kubernetes Agile/DevOps: Experience with Agile methodologies, CI/CD pipelines, and project management tools More ❯

Our platform simplifies all administrative tasks, allowing entrepreneurs and small business owners to manage their business admin effortlessly and without the usual complexities. By harnessing cutting-edge technology and data analytics, coupled with outstanding customer service, we provide a seamless experience that emphasises simplicity, efficiency, and rapid execution. Our goal is to remove obstacles, enabling you to achieve success … fostering a collaborative learning environment. API Development: Design and build RESTful API endpoints using NodeJS and Express, including detailed API documentation. Database Management: Design, optimize, and maintain complex SQL data models, ensuring efficient data structures, query performance, and reliability. Full-Stack Development: Develop responsive and performant front-end applications using ReactJS, focusing on UX/UI best … a proactive and solution-oriented mindset. Soft Skills: Excellent communication, organisational skills, and the ability to work independently or within a team. Preferred Qualifications Advanced Degrees: Master’s in Data Science or Software Engineering. Cloud & DevOps: Experience with AWS cloud services, Terraform, Docker, Kubernetes Agile/DevOps: Experience with Agile methodologies, CI/CD pipelines, and project management tools More ❯

seeking a Technical Business Analyst with deep knowledge of insurance pricing and underwriting systems to bridge the gap between actuarial, product and engineering teams. You’ll gather requirements, design data flows, and help implement pricing models, APIs and analytical capabilities that drive better underwriting decisions. Key Responsibilities: Define and document requirements for pricing system integrations, model deployment and API … workflows. Translate pricing models (Excel/Python/R) into technical specifications for developers and data engineers. Collaborate with underwriters and actuaries to improve model governance, version control and reporting. Support UAT, model validation and release testing. Deliver insights and metrics around model performance, quote success and underwriting efficiency. Partner with insurers and MGAs to streamline pricing and underwriting … in a Business Analyst or Technical Analyst role within insurance, reinsurance or InsurTech. Experience with pricing or rating systems, underwriting workflows or model integration projects. Strong understanding of insurance data structures, rating factors and model governance. Skilled in SQL and BI tools (Power BI, Tableau, Looker). Comfortable working with APIs, data pipelines and collaborating with developers. More ❯

seeking a Technical Business Analyst with deep knowledge of insurance pricing and underwriting systems to bridge the gap between actuarial, product and engineering teams. You’ll gather requirements, design data flows, and help implement pricing models, APIs and analytical capabilities that drive better underwriting decisions. Key Responsibilities: Define and document requirements for pricing system integrations, model deployment and API … workflows. Translate pricing models (Excel/Python/R) into technical specifications for developers and data engineers. Collaborate with underwriters and actuaries to improve model governance, version control and reporting. Support UAT, model validation and release testing. Deliver insights and metrics around model performance, quote success and underwriting efficiency. Partner with insurers and MGAs to streamline pricing and underwriting … in a Business Analyst or Technical Analyst role within insurance, reinsurance or InsurTech. Experience with pricing or rating systems, underwriting workflows or model integration projects. Strong understanding of insurance data structures, rating factors and model governance. Skilled in SQL and BI tools (Power BI, Tableau, Looker). Comfortable working with APIs, data pipelines and collaborating with developers. More ❯