1 to 25 of 145 Permanent Data Structures Jobs in London

Data Analyst, Power BI | Investment Management - Trading Platform | London, Hybrid | up to £110k + Bonus, Benefits A leading global asset manager, responsible for assets under management across liability driven investment (LDI), cashflow-driven investing (CDI) and longevity hedging, currency management, fixed income, absolute return, multi-asset and specialist investment strategies. Is looking to add to their Data team … by hiring a Data Analyst, coming from a financial services/Trading House background with knowledge around Risk, regulations, Compliance, Trade Surveillance etc... The Data Analyst will join the Data Centre of Excellence, encompassing Data Analysis, Data Architecture, Data Intelligence and Machine Learning experts. This Data team helps the Investment Management House make … use of their data to help make investment and risk decisions. As a Data analyst you will be responsible for proactively managing aspects of the data acquisition and commercial lifecycle to create P&L impacting value for the investment business. Specifically within compliance, understanding the data needed from the business to make decisions, bridging the gap More ❯

Key Responsibilities: Requirement Gathering and Business Alignment o Collaborate with business stakeholders across logistics and other departments to understand analytical needs and operational goals. o Translate business requirements into data requirements, ensuring clarity and feasibility for implementation. o Act as a bridge between business teams and technical teams to ensure alignment on KPIs, metrics, and data logic. Data Exploration and Identification o Identify and extract the most relevant data from Snowflake to support business questions and performance tracking. o Conduct exploratory data analysis to uncover trends, anomalies, and opportunities for improvement in logistics operations. Data Modelling and Metric Logic o Design and maintain scalable data models that reflect logistics processes and support cross … applications. Collaboration on Dashboard Development o Work closely with Qlik Developers to co-design dashboards that are intuitive, responsive, and aligned with business goals. o Provide analytical input on data structure, metric definitions, and visualization logic to enhance dashboard effectiveness. o Validate that visualizations accurately reflect underlying data and business logic. Data Quality and Validation o Ensure More ❯

SAP Data Migration Consultant/Senior Consultant £60,000 - £100,000 Hybrid (On client sites as and when required) We are seeking an SAP Data Migration Consultant to join a leading consulting firm, playing a key role in SAP S/4HANA migration projects. You will work closely with functional and technical teams to ensure the successful extraction … transformation, and loading (ETL) of data from legacy systems into SAP environments. This role will focus on delivering high-quality data migration solutions using SAP Migration Cockpit, SAP Data Services (BODS), and other SAP data management tools. Key Responsibilities Execute end-to-end data migration strategies for SAP S/4HANA and related SAP systems. … Use SAP Migration Cockpit, SAP Data Services (BODS), LSMW, and LTMC to manage data extraction, transformation, and loading. Collaborate with functional teams to define data mapping, cleansing, and validation processes. Identify and resolve data quality issues, ensuring smooth migration. Support data reconciliation and validation post-migration to ensure integrity. Work closely with business stakeholders to More ❯

SAP Data Migration Consultant/Senior Consultant £60,000 - £100,000 Hybrid (On client sites as and when required) We are seeking an SAP Data Migration Consultant to join a leading consulting firm, playing a key role in SAP S/4HANA migration projects. You will work closely with functional and technical teams to ensure the successful extraction … transformation, and loading (ETL) of data from legacy systems into SAP environments. This role will focus on delivering high-quality data migration solutions using SAP Migration Cockpit, SAP Data Services (BODS), and other SAP data management tools. Key Responsibilities Execute end-to-end data migration strategies for SAP S/4HANA and related SAP systems. … Use SAP Migration Cockpit, SAP Data Services (BODS), LSMW, and LTMC to manage data extraction, transformation, and loading. Collaborate with functional teams to define data mapping, cleansing, and validation processes. Identify and resolve data quality issues, ensuring smooth migration. Support data reconciliation and validation post-migration to ensure integrity. Work closely with business stakeholders to More ❯

and a work environment built on collaboration. We are rapidly expanding our London office and looking for a Senior Product Manager to lead the development of our next-generation data modelling and workflow solutions. As one of the first product managers in our London office, you will have a significant impact and ownership over your work-this is an … incredible opportunity to shape our product's future! As a Senior Product Manager in the Data Platform organisation, you will drive the development and evolution of data modelling systems that define how our platform supports complex team workflows. You will drive the processes transforming data at monday, and own cross-platform cascading effects and workflows. Please note … this is a hybrid position of 3 days/week in our London office (Fitzrovia). Responsibilities Lead product vision and roadmap: Define and implement the strategy for data modelling and workflow optimization across the platform, ensuring it supports complex organizational needs. Data-driven product development: Use customer insights, data trends, and feedback to continuously optimize how 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 ❯

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 ❯

On Back-End Developer Remote-Friendly | London HQ | Award-Winning Agricultural Technology Software Company Join an award-winning agricultural analytics software company that's redefining sustainable food production through data-driven technology .We're seeking a hands-on Chief Technology Officer (CTO) — an exceptional technical leader who thrives on both strategic vision and deep technical execution . Role Overview … while remaining deeply involved in hands-on back-end development . You'll architect scalable systems, drive innovation in sustainable technology, and guide a talented engineering team to deliver data-rich solutions that improve farm economics, productivity, and environmental impact . Key Responsibilities Lead technical strategy and oversee architecture for scalable, data-driven systems. Remain actively hands-on … and guide a growing team of developers — setting technical standards and driving best practices. Oversee end-to-end solution delivery, ensuring performance, security, and maintainability. Collaborate cross-functionally with data scientists, agronomists, and stakeholders to shape product direction. Own cloud infrastructure strategy and implementation on Microsoft Azure . Lead innovation in sustainability-focused agricultural technology and analytics . Contribute More ❯

On Back-End Developer Remote-Friendly London HQ Award-Winning Agricultural Technology Software Company Join an award-winning agricultural analytics software company that's redefining sustainable food production through data-driven technology . We're seeking a hands-on Chief Technology Officer (CTO) an exceptional technical leader who thrives on both strategic vision and deep technical execution . Role … while remaining deeply involved in hands-on back-end development . You'll architect scalable systems, drive innovation in sustainable technology, and guide a talented engineering team to deliver data-rich solutions that improve farm economics, productivity, and environmental impact . Key Responsibilities Lead technical strategy and oversee architecture for scalable, data-driven systems. Remain actively hands-on … and guide a growing team of developers setting technical standards and driving best practices. Oversee end-to-end solution delivery, ensuring performance, security, and maintainability. Collaborate cross-functionally with data scientists, agronomists, and stakeholders to shape product direction. Own cloud infrastructure strategy and implementation on Microsoft Azure . Lead innovation in sustainability-focused agricultural technology and analytics . Contribute More ❯

On Back-End Developer Remote-Friendly | London HQ | Award-Winning Agricultural Technology Software Company Join an award-winning agricultural analytics software company that's redefining sustainable food production through data-driven technology . We're seeking a hands-on Chief Technology Officer (CTO) — an exceptional technical leader who thrives on both strategic vision and deep technical execution . Role … while remaining deeply involved in hands-on back-end development . You'll architect scalable systems, drive innovation in sustainable technology, and guide a talented engineering team to deliver data-rich solutions that improve farm economics, productivity, and environmental impact . Key Responsibilities Lead technical strategy and oversee architecture for scalable, data-driven systems. Remain actively hands-on … and guide a growing team of developers — setting technical standards and driving best practices. Oversee end-to-end solution delivery, ensuring performance, security, and maintainability. Collaborate cross-functionally with data scientists, agronomists, and stakeholders to shape product direction. Own cloud infrastructure strategy and implementation on Microsoft Azure . Lead innovation in sustainability-focused agricultural technology and analytics . Contribute More ❯

Senior Commercial Data Analyst Location: London (Hybrid, 1-2 days per week) Salary: £42,700-£53,700 + annual bonus A global media and entertainment business is looking for a Senior Commercial Data Analyst to own analytics within a cross-functional team. This role blends technical capability with commercial thinking, supporting senior stakeholders across multiple regions and business … lines. What You'll Do: Act as the go-to data expert for commercial teams, partnering with finance, sales, marketing and strategy Build dashboards and reporting tools (Power BI or similar) and support the rollout of a new BI platform Translate complex data into actionable commercial recommendations across pricing, product and market performance Connect data from multiple … forecasting and wider commercial planning Build automated reporting and enable self-serve analytics across the business Example Projects: Migrating legacy reports into a modern BI platform and improving reporting structures Analysing financial, customer and digital data to inform commercial strategy for new product or venue launches Implementing forecasting and predictive analytics within dashboards Supporting CRM and commercial system 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 … 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 ❯

over 2 weeks, minimum 2 days per week) Location: Central London About the Role and Client A leading law and professional services organisation is looking for a technically proficient Data Analyst to join the IT Department within the Strategy & Architecture Team. This role will have a strong focus on API design and integrations between systems. This role is critical … in enabling data-driven decision-making and ensuring seamless data exchange across internal systems and external platforms. Key Responsibilities Analyse and interpret complex datasets to support IT operations and strategic initiatives. Design, document, and maintain APIs that facilitate secure and efficient integration of data between systems. Create data dictionaries that describe data structures, elements … meanings, and relationships within a dataset or database. Create Business Glossary and describe business terms, and their definitions, ensuring they are consistent across the enterprise. Champion the standardization of data documentation across projects and teams. Document all levels of data-related concepts - models, table, column, business terms. Ensure all documentation covers the full spectrum of data analysis More ❯

Its commercial model includes intellectual property licencing, creative consultancy, and bespoke campaigns designed to captivate audiences and elevate brand presence. Your new role This permanent role focusses on translating data into actionable business strategies, working closely with both technical and commercial teams. You will collate and analyse data and make recommendations across the business to enable strong business … impact. You will be a key player in the global business planning process. Your responsibilities will include (but not be limited to): Champion smarter decisions by building seamless data systems that turn numbers into clear business stories. Decode trends across products, pricing, and markets to fuel strategic conversations. Keep the pulse of the business alive with evolving dashboards and … insights that matter. Collaborate across teams to reshape how data flows and informs action. Explore predictive models and machine learning to unlock what's next. Deliver sharp insights that help teams make smarter, customer-first decisions. Harness a powerful tech stack - from Salesforce Media Cloud to NetSuite and beyond - to decode data and drive clarity. Elevate reporting with 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 … 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 ❯

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 ❯