1 to 25 of 67 Data Structures Jobs in the City of London

Role: Senior Data Analyst - Broking Data Migration & Analytics Location: London/Hybrid (2–3 days on-site per week) Dept: Data & Analytics Reports to: Head of Data/Chief Product Officer Salary: £75,000 - £90,000 p/a + package We’re transforming how commercial insurance brokers work - helping them eliminate re-keying, connect seamlessly … to insurer APIs, and make smarter, data-driven decisions. Our platform modernises broker operations by capturing, enriching, and analysing data to unlock efficiencies and insight across the broking lifecycle. We’re looking for a Senior Data Analyst with deep experience in broking data migration and analytics to help us build robust data foundations and deliver … valuable insights for brokers, insurers, and internal teams. Role Overview: You’ll play a key role in designing, managing, and delivering data migration and analytics initiatives across our client implementations and platform development. Working closely with product, engineering, and customer success teams, you’ll ensure broker data is migrated accurately, transformed intelligently, and leveraged for meaningful analysis and More ❯

Role: Senior Data Analyst - Broking Data Migration & Analytics Location: London/Hybrid (2–3 days on-site per week) Dept: Data & Analytics Reports to: Head of Data/Chief Product Officer Salary: £75,000 - £90,000 p/a + package We’re transforming how commercial insurance brokers work - helping them eliminate re-keying, connect seamlessly … to insurer APIs, and make smarter, data-driven decisions. Our platform modernises broker operations by capturing, enriching, and analysing data to unlock efficiencies and insight across the broking lifecycle. We’re looking for a Senior Data Analyst with deep experience in broking data migration and analytics to help us build robust data foundations and deliver … valuable insights for brokers, insurers, and internal teams. Role Overview: You’ll play a key role in designing, managing, and delivering data migration and analytics initiatives across our client implementations and platform development. Working closely with product, engineering, and customer success teams, you’ll ensure broker data is migrated accurately, transformed intelligently, and leveraged for meaningful analysis and 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 ❯

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 ❯

AI platform. You’ll drive solutioning and innovation across customer engagements, turning complex business challenges into AI-powered opportunities. Key Responsibilities Lead technical discovery sessions to understand client objectives, data environments, and AI readiness. Design and deliver impactful AI/LLM-powered solutions aligned with customer goals and industry best practices. Translate technical capabilities—particularly around Generative AI and … or AI implementation roles. Proven hands-on experience with Generative AI, LLMs (e.g., GPT, Claude, PaLM, LLaMA), and related tools (e.g., LangChain, vector databases). Strong understanding of raw data, data structures, NLP/NLU/NLG, ML pipelines, and prompt engineering. Experience with enterprise-grade AI deployments, including model evaluation, customization, and integration. Domain & Industry Acumen More ❯

AI platform. You’ll drive solutioning and innovation across customer engagements, turning complex business challenges into AI-powered opportunities. Key Responsibilities Lead technical discovery sessions to understand client objectives, data environments, and AI readiness. Design and deliver impactful AI/LLM-powered solutions aligned with customer goals and industry best practices. Translate technical capabilities—particularly around Generative AI and … or AI implementation roles. Proven hands-on experience with Generative AI, LLMs (e.g., GPT, Claude, PaLM, LLaMA), and related tools (e.g., LangChain, vector databases). Strong understanding of raw data, data structures, NLP/NLU/NLG, ML pipelines, and prompt engineering. Experience with enterprise-grade AI deployments, including model evaluation, customization, and integration. Domain & Industry Acumen More ❯

Role: Finance Data Migration Consultant Start Date: November 2025 End Date: 12months+ extension Capacity: 5 days a week Location: Hybrid, London Role Type: Freelancing Job Summary: We are seeking an experienced Senior Finance Data Migration Consultant with a strong background in Finance functional consulting and/or data migration. The ideal candidate will have hands-on experience … with selective data transformation and preferably familiarity with SNP CrystalBridge or similar toolsets. This role will support critical migration activities, including impact assessments, defect resolution, and trial execution, ensuring a smooth and efficient transformation process. Key Responsibilities: Support the Impact Assessment of Change Requests (CRs) on the established migration design. Assist in the resolution of defects throughout the data … and tracking performance metrics. Work closely with project and business stakeholders to identify opportunities for efficiency improvements to reduce risk and accelerate timelines. Provide subject matter expertise on selective data transformation methodologies . Collaborate with technical teams using tools like SNP CrystalBridge to support migration execution. Ensure alignment with financial data standards, controls, and compliance requirements. Required Qualifications More ❯

Role: Finance Data Migration Consultant Start Date: November 2025 End Date: 12months+ extension Capacity: 5 days a week Location: Hybrid, London Role Type: Freelancing Job Summary: We are seeking an experienced Senior Finance Data Migration Consultant with a strong background in Finance functional consulting and/or data migration. The ideal candidate will have hands-on experience … with selective data transformation and preferably familiarity with SNP CrystalBridge or similar toolsets. This role will support critical migration activities, including impact assessments, defect resolution, and trial execution, ensuring a smooth and efficient transformation process. Key Responsibilities: Support the Impact Assessment of Change Requests (CRs) on the established migration design. Assist in the resolution of defects throughout the data … and tracking performance metrics. Work closely with project and business stakeholders to identify opportunities for efficiency improvements to reduce risk and accelerate timelines. Provide subject matter expertise on selective data transformation methodologies . Collaborate with technical teams using tools like SNP CrystalBridge to support migration execution. Ensure alignment with financial data standards, controls, and compliance requirements. Required Qualifications More ❯

A leading Financial Services client is seeking an experienced Senior Data Engineer to join the business on a permanent basis and support a major data transformation. As a Senior Data Engineer, you’ll design and deliver robust, automated ETL pipelines and database solutions that power business-critical insights. You’ll use your advanced SQL skills to build … and optimise data structures, alongside tools such as Snowflake, Azure, and Python. This is a high-impact role where you’ll influence architecture, streamline processes, and drive automation across the data landscape. The role offers a base salary of £60,000 to £75,000 plus strong benefits and flexible working. Key Responsibilities: Design, build, and maintain automated … Skills & Experience: Advanced SQL skills (DDL, DML, query optimisation) with a track record of building efficient, scalable database structures. Strong knowledge of automated ETL processes. Experience with Snowflake, Azure Data Factory, and Azure DevOps. Proficiency in Python for data engineering tasks. Agile delivery experience. Willingness to work with other modern data engineering toolsets. If you’re an More ❯

A leading Financial Services client is seeking an experienced Senior Data Engineer to join the business on a permanent basis and support a major data transformation. As a Senior Data Engineer, you’ll design and deliver robust, automated ETL pipelines and database solutions that power business-critical insights. You’ll use your advanced SQL skills to build … and optimise data structures, alongside tools such as Snowflake, Azure, and Python. This is a high-impact role where you’ll influence architecture, streamline processes, and drive automation across the data landscape. The role offers a base salary of £60,000 to £75,000 plus strong benefits and flexible working. Key Responsibilities: Design, build, and maintain automated … Skills & Experience: Advanced SQL skills (DDL, DML, query optimisation) with a track record of building efficient, scalable database structures. Strong knowledge of automated ETL processes. Experience with Snowflake, Azure Data Factory, and Azure DevOps. Proficiency in Python for data engineering tasks. Agile delivery experience. Willingness to work with other modern data engineering toolsets. If you’re an 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 ❯