26 to 50 of 78 Big Data Jobs in the City of London

Data Analyst – Global Fintech Leader (Contract) Location: London (Hybrid – 3 days in office, 2 days from home) Rate: Up to £285 per day (umbrella) Duration: 9-month contract (current end date: September 2026) About the Role We’re partnering with a global fintech leader to hire a Data Analyst within their Customer Success Data Science team , driving … data capabilities and insights across international markets. This is a fantastic opportunity for an experienced data professional who thrives in dynamic environments, enjoys problem-solving, and wants to make a tangible impact on how customer success is measured and delivered across multiple regions. Key Responsibilities Build robust data foundations – Work with engineering teams to improve data … root-cause analysis to identify pain points and drive operational improvements. Support experimentation – Analyse A/B test outcomes to optimize customer and digital experiences. Influence through storytelling – Translate data insights into compelling narratives that drive strategic decisions across business units. What We’re Looking For 8+ years’ experience in Data Analytics or Data Science (ideally within More ❯

Data Analyst – Global Fintech Leader (Contract) Location: London (Hybrid – 3 days in office, 2 days from home) Rate: Up to £285 per day (umbrella) Duration: 9-month contract (current end date: September 2026) About the Role We’re partnering with a global fintech leader to hire a Data Analyst within their Customer Success Data Science team , driving … data capabilities and insights across international markets. This is a fantastic opportunity for an experienced data professional who thrives in dynamic environments, enjoys problem-solving, and wants to make a tangible impact on how customer success is measured and delivered across multiple regions. Key Responsibilities Build robust data foundations – Work with engineering teams to improve data … root-cause analysis to identify pain points and drive operational improvements. Support experimentation – Analyse A/B test outcomes to optimize customer and digital experiences. Influence through storytelling – Translate data insights into compelling narratives that drive strategic decisions across business units. What We’re Looking For 8+ years’ experience in Data Analytics or Data Science (ideally within More ❯

Areti is seeking Senior Data Scientists/Data Engineers (Palantir, Python, Data Science) to work for a series A Funded tech start-up business based in the London area a very quick start. YOU MUST BE DV OR SC CLEARED You will be working on a number of large Defence and Government projects and be given the … opportunity to lead a number of high-profile programs. The Data Scientists will apply their technical skillsets and knowledge to solve exciting real-world problems in a small and dynamic company. You will work as part of a dynamic and close-knit team building new and proprietary approaches to solving multiple problems across the industry. The ideal candidates will … have a skillset to include the following: Experience in working as a Data Scientist/Data Engineer A understand of Palantir would be a huge + Experience of completing projects to deadline. Experience in Deep Learning and DL frameworks such as Tensorflow/Pytroch Deploying ML models Good command of Python and use of libraries for data More ❯

Areti is seeking Senior Data Scientists/Data Engineers (Palantir, Python, Data Science) to work for a series A Funded tech start-up business based in the London area a very quick start. YOU MUST BE DV OR SC CLEARED You will be working on a number of large Defence and Government projects and be given the … opportunity to lead a number of high-profile programs. The Data Scientists will apply their technical skillsets and knowledge to solve exciting real-world problems in a small and dynamic company. You will work as part of a dynamic and close-knit team building new and proprietary approaches to solving multiple problems across the industry. The ideal candidates will … have a skillset to include the following: Experience in working as a Data Scientist/Data Engineer A understand of Palantir would be a huge + Experience of completing projects to deadline. Experience in Deep Learning and DL frameworks such as Tensorflow/Pytroch Deploying ML models Good command of Python and use of libraries for data More ❯

Our client is a leading hedge fund in London, leveraging cutting-edge technology and data to drive investment decisions across diverse asset classes. They're looking for a skilled Data Engineer to play a crucial role in building and optimizing the firm's data infrastructure. Responsibilities: Design, develop, and maintain robust data pipelines and ETL processes. … Collaborate with data scientists and analysts to support data-driven strategies. Ensure data accuracy, consistency, and security across various data sources. Drive innovation by exploring new technologies and best practices in data engineering. Requirements: Bachelor’s or Master’s in Computer Science, Engineering, or a related field. 1+ years of experience in data engineering. … Proficiency in SQL, Python, and big data tools like Spark. Excellent problem-solving skills and a collaborative mindset. More ❯

Our client is a leading hedge fund in London, leveraging cutting-edge technology and data to drive investment decisions across diverse asset classes. They're looking for a skilled Data Engineer to play a crucial role in building and optimizing the firm's data infrastructure. Responsibilities: Design, develop, and maintain robust data pipelines and ETL processes. … Collaborate with data scientists and analysts to support data-driven strategies. Ensure data accuracy, consistency, and security across various data sources. Drive innovation by exploring new technologies and best practices in data engineering. Requirements: Bachelor’s or Master’s in Computer Science, Engineering, or a related field. 1+ years of experience in data engineering. … Proficiency in SQL, Python, and big data tools like Spark. Excellent problem-solving skills and a collaborative mindset. More ❯

and these values are upheld only because of our people. Your role As a Confluent Consulting Engineer, you will be responsible for designing, developing, and maintaining scalable real-time data pipelines and integrations using Kafka and Confluent components. You will collaborate with data engineers, architects, and DevOps teams to deliver robust streaming solutions. Required: • Hands-on experience with … Apache Kafka (any distribution: open-source, Confluent, Cloudera, AWS MSK, etc.) • Strong proficiency in Java, Python, or Scala • Solid understanding of event-driven architecture and data streaming patterns • Experience deploying Kafka on cloud platforms such as AWS, GCP, or Azure • Familiarity with Docker, Kubernetes, and CI/CD pipelines • Excellent problem-solving and communication abilities Preferred: Candidates with experience … with Kafka Connect, Kafka Streams, KSQL, Schema Registry, REST Proxy, Confluent Control Center • Hands-on with Confluent Cloud services, including ksqlDB Cloud and Apache Flink • Familiarity with Stream Governance, Data Lineage, Stream Catalog, Audit Logs, RBAC • Confluent certifications (Developer, Administrator, or Flink Developer) • Experience with Confluent Platform, Confluent Cloud managed services, multi-cloud deployments, and Confluent for Kubernetes • Knowledge More ❯

and these values are upheld only because of our people. Your role As a Confluent Consulting Engineer, you will be responsible for designing, developing, and maintaining scalable real-time data pipelines and integrations using Kafka and Confluent components. You will collaborate with data engineers, architects, and DevOps teams to deliver robust streaming solutions. Required: • Hands-on experience with … Apache Kafka (any distribution: open-source, Confluent, Cloudera, AWS MSK, etc.) • Strong proficiency in Java, Python, or Scala • Solid understanding of event-driven architecture and data streaming patterns • Experience deploying Kafka on cloud platforms such as AWS, GCP, or Azure • Familiarity with Docker, Kubernetes, and CI/CD pipelines • Excellent problem-solving and communication abilities Preferred: Candidates with experience … with Kafka Connect, Kafka Streams, KSQL, Schema Registry, REST Proxy, Confluent Control Center • Hands-on with Confluent Cloud services, including ksqlDB Cloud and Apache Flink • Familiarity with Stream Governance, Data Lineage, Stream Catalog, Audit Logs, RBAC • Confluent certifications (Developer, Administrator, or Flink Developer) • Experience with Confluent Platform, Confluent Cloud managed services, multi-cloud deployments, and Confluent for Kubernetes • Knowledge More ❯

Job Title: Big Data Developer Location: UK Experience: 2–5 years Education: Bachelors in Science (IT/Computer Science/Engineer) Employment Type: Full-Time UK based candidates only. Essential skills required : Designing and implementing the systems of the software. Load operations by using Extract Transform (ETL Process). Developing systems for collecting and processing the data. Should … have the ability to research new methods for gaining valuable data and improving its quality. Developing structured data solutions by using multiple programming languages and tools. Developing data architecture that meets the needs of the business. Collaborating with the other team members, data analysts, and data scientists. Mining data from various resources to construct … efficient business models. Soft skills required : Developing, maintaining, testing, analyzing, and evaluating a company's data. Gathering large amounts of data from multiple sources. Ensuring data pipelines are scalable, secure, and able to serve multiple users. Converting structured, unstructured, and semi-structured data into actionable insights for a business. Educational Criteria : Bachelor’s degree in computer science More ❯

Job Title: Big Data Developer Location: UK Experience: 2–5 years Education: Bachelors in Science (IT/Computer Science/Engineer) Employment Type: Full-Time UK based candidates only. Essential skills required : Designing and implementing the systems of the software. Load operations by using Extract Transform (ETL Process). Developing systems for collecting and processing the data. Should … have the ability to research new methods for gaining valuable data and improving its quality. Developing structured data solutions by using multiple programming languages and tools. Developing data architecture that meets the needs of the business. Collaborating with the other team members, data analysts, and data scientists. Mining data from various resources to construct … efficient business models. Soft skills required : Developing, maintaining, testing, analyzing, and evaluating a company's data. Gathering large amounts of data from multiple sources. Ensuring data pipelines are scalable, secure, and able to serve multiple users. Converting structured, unstructured, and semi-structured data into actionable insights for a business. Educational Criteria : Bachelor’s degree in computer science More ❯

chains, creating a technology that will eliminate supply chain unknowns to drive down costs, achieve carbon targets, and strengthen supply chain resilience. We're helping them hire a Lead Data and AI Engineer. This ambitious company was incorporated in early 2025 and has since built strong momentum. Backed by leading climate-tech investors, alongside a long list of angel … of the world’s largest manufacturing companies, they’re now building the founding technical team that will power the next stage of growth. Job Description As Atmospheric’s Lead Data and AI Engineer, you will join the founding team as its technical leader. This is a zero-to-one opportunity for you to architect and build the company’s … core data and AI systems from the ground up, shaping both the technical roadmap and the foundations of a category-defining platform. You won’t just execute — you’ll define the technical roadmap, establish best practices, and shape the foundation of Atmospheric AI’s intelligence layer. The role offers immense autonomy and the opportunity to have a deep, lasting More ❯

chains, creating a technology that will eliminate supply chain unknowns to drive down costs, achieve carbon targets, and strengthen supply chain resilience. We're helping them hire a Lead Data and AI Engineer. This ambitious company was incorporated in early 2025 and has since built strong momentum. Backed by leading climate-tech investors, alongside a long list of angel … of the world’s largest manufacturing companies, they’re now building the founding technical team that will power the next stage of growth. Job Description As Atmospheric’s Lead Data and AI Engineer, you will join the founding team as its technical leader. This is a zero-to-one opportunity for you to architect and build the company’s … core data and AI systems from the ground up, shaping both the technical roadmap and the foundations of a category-defining platform. You won’t just execute — you’ll define the technical roadmap, establish best practices, and shape the foundation of Atmospheric AI’s intelligence layer. The role offers immense autonomy and the opportunity to have a deep, lasting More ❯

About Tredence Tredence is a global analytics services and solutions company. Our capabilities range from Data Visualization, Data Management to Advanced analytics, Big Data and Machine Learning. Our uniqueness is in bringing the right mix of technology and business analytics to create sustainable white-box solutions that are transitioned to our clients at the end of … the engagement. We do this cost effectively using a global execution model leveraging our clients' existing technology and data assets. We also come in with strong IP and pre-built analytics solutions in data mining, business intelligence and Big Data. Role Overview As a Client Partner , you’ll work hand-in-hand with senior leaders to nurture … and create lasting impact by helping our clients achieve their business goals You will act as the bridge between business, delivery, and solution teams — ensuring that advanced AI and data-driven solutions translate into measurable business impact for global retail clients. Key Responsibilities Client Relationship Management Serve as the primary point of contact for day-to-day client interactions. More ❯

About Tredence Tredence is a global analytics services and solutions company. Our capabilities range from Data Visualization, Data Management to Advanced analytics, Big Data and Machine Learning. Our uniqueness is in bringing the right mix of technology and business analytics to create sustainable white-box solutions that are transitioned to our clients at the end of … the engagement. We do this cost effectively using a global execution model leveraging our clients' existing technology and data assets. We also come in with strong IP and pre-built analytics solutions in data mining, business intelligence and Big Data. Role Overview As a Client Partner , you’ll work hand-in-hand with senior leaders to nurture … and create lasting impact by helping our clients achieve their business goals You will act as the bridge between business, delivery, and solution teams — ensuring that advanced AI and data-driven solutions translate into measurable business impact for global retail clients. Key Responsibilities Client Relationship Management Serve as the primary point of contact for day-to-day client interactions. More ❯

HD-Tech are delighted to once again be partnering with a leading data and analytics consultancy to support their search for a talented Principal Consultant. Position: Principal Consultant Location: UK-based, with a requirement to be in London 2 days per week Employment Type: Full-time Salary: £90,000 – £110,000 (depending on experience) Overview An exciting opportunity has … arisen for an experienced Principal Consultant with strong expertise in SQL Server, Data Warehousing, and Business Intelligence. The successful candidate will have a proven track record of designing, implementing, and managing complex data integration and reporting solutions, alongside leading a small offshore team of data engineers. Key Responsibilities Collaborate with business stakeholders to capture requirements and translate … them into actionable technical deliverables. Lead and mentor an offshore team, ensuring high-quality output and clear task delegation. Design, develop, and maintain data integration processes using SAP Business Objects Data Services . Develop and manage SQL Server databases, including writing and optimising queries and stored procedures. Build and maintain data warehouse solutions to support reporting and More ❯

HD-Tech are delighted to once again be partnering with a leading data and analytics consultancy to support their search for a talented Principal Consultant. Position: Principal Consultant Location: UK-based, with a requirement to be in London 2 days per week Employment Type: Full-time Salary: £90,000 – £110,000 (depending on experience) Overview An exciting opportunity has … arisen for an experienced Principal Consultant with strong expertise in SQL Server, Data Warehousing, and Business Intelligence. The successful candidate will have a proven track record of designing, implementing, and managing complex data integration and reporting solutions, alongside leading a small offshore team of data engineers. Key Responsibilities Collaborate with business stakeholders to capture requirements and translate … them into actionable technical deliverables. Lead and mentor an offshore team, ensuring high-quality output and clear task delegation. Design, develop, and maintain data integration processes using SAP Business Objects Data Services . Develop and manage SQL Server databases, including writing and optimising queries and stored procedures. Build and maintain data warehouse solutions to support reporting and More ❯

delivering complex technical solutions in telecoms or enterprise environments, including authoring HLDs, LLDs, and interface specifications. Proven ability to design and integrate IT systems such as CRM, middleware, and data platforms with telecom technologies (OSS, BSS, IMS, NAT/CGNAT, IPv4/IPv6). Understanding of Big Data and data governance. Strong knowledge of cloud platforms … including AWS, Azure, and GCP, as well as hybrid/private data centres. Experience with CI/CD tools and technologies such as Kubernetes, Docker, GitOps, Prometheus, Grafana, ELK Stack, and Datadog. Experience leading multi-supplier teams, collaborating in a ‘one-team’ approach, and working within highly regulated environments such as telecoms or government. Excellent analytical, verbal, and written More ❯

delivering complex technical solutions in telecoms or enterprise environments, including authoring HLDs, LLDs, and interface specifications. Proven ability to design and integrate IT systems such as CRM, middleware, and data platforms with telecom technologies (OSS, BSS, IMS, NAT/CGNAT, IPv4/IPv6). Understanding of Big Data and data governance. Strong knowledge of cloud platforms … including AWS, Azure, and GCP, as well as hybrid/private data centres. Experience with CI/CD tools and technologies such as Kubernetes, Docker, GitOps, Prometheus, Grafana, ELK Stack, and Datadog. Experience leading multi-supplier teams, collaborating in a ‘one-team’ approach, and working within highly regulated environments such as telecoms or government. Excellent analytical, verbal, and written More ❯

Role: Staff AI/ML Scientist – Search, RecSys, Personalization & GenAI (Dubai based) Join a high-performing Data Science team whose mission is to drive competitive value through scalable AI solutions. The team builds models that enhance user experiences, enable better decision-making, improve operational efficiency, and shape the regional AI ecosystem. As a senior technical leader, you’ll help … Lead end-to-end AI transformation focused on personalization in a consumer-facing application. Define and execute a long-term vision for customer acquisition and engagement strategies powered by data and AI. Conduct exploratory analysis to understand user behavior, discover optimization opportunities, and develop behavior models to inform product enhancements. Design and deploy data/ML instrumentation to … extract insights and optimize the product experience. Provide strategic product guidance through data-driven recommendations, experimentation insights, and root cause analyses. Build and scale machine learning algorithms and pipelines to production using big data technologies. Develop and deploy retrieval-augmented generation (RAG) systems and LLM-based applications. Design and evaluate A/B tests and communicate results More ❯

Role: Staff AI/ML Scientist – Search, RecSys, Personalization & GenAI (Dubai based) Join a high-performing Data Science team whose mission is to drive competitive value through scalable AI solutions. The team builds models that enhance user experiences, enable better decision-making, improve operational efficiency, and shape the regional AI ecosystem. As a senior technical leader, you’ll help … Lead end-to-end AI transformation focused on personalization in a consumer-facing application. Define and execute a long-term vision for customer acquisition and engagement strategies powered by data and AI. Conduct exploratory analysis to understand user behavior, discover optimization opportunities, and develop behavior models to inform product enhancements. Design and deploy data/ML instrumentation to … extract insights and optimize the product experience. Provide strategic product guidance through data-driven recommendations, experimentation insights, and root cause analyses. Build and scale machine learning algorithms and pipelines to production using big data technologies. Develop and deploy retrieval-augmented generation (RAG) systems and LLM-based applications. Design and evaluate A/B tests and communicate results More ❯

s team based in central London. The successful Quantitative Analyst will join a small but very talented team and will be expected to interpret, filter, and analyse very large data sets whilst working closely with other analysts and developers. The successful Quantitative Analyst will be a forward-thinking individual who is more than comfortable working to both their own … following: Python, C#, C++, Java Mathematical Modelling Mathematical skills, particularly a keen understanding of probabilities and statistics Analytic mindset Strong communication skills Accuracy and attention to detail Experience in data science (big data, deep learning, machine learning) is beneficial If you feel you have the skills and experience required for this opportunity, please contact Oliver Wilson at More ❯

someone with over 4 years of development experience who thrives in a collaborative, office-based environment. Their core software product helps leading industrial organizations enhance asset performance by applying data science and machine learning to minimize waste and boost reliability. Full Stack Developer Opportunity Location: London (Office-based, collaborative team) Salary: £55,000 - £65,000 Industry: Data Analytics … Java and Python . Collaborate on infrastructure setup and maintenance. Focus on testing, coding, and refactoring to ensure high-quality solutions. Work closely with cross-functional teams (developers, DevOps, data scientists, product managers) in an agile methodology . Their Tech Stack includes: Backend: Spring & Spring Boot, Java, Python, FastAPI Frontend: Vue.js Cloud: AWS Databases: Elasticsearch & Postgres And more... This … role offers exciting opportunities to dive into various areas, including Natural Language Processing, Random Forest and Monte Carlo Simulations, Classification, Big Data ETL Pipelines, High Volume Event Processing, Predictive Analysis, CI/CD Cloud Ops, Mentoring, UX Design, Data Visualization, and Build Management Systems . This is a brilliant opportunity to join a company at the forefront More ❯

someone with over 4 years of development experience who thrives in a collaborative, office-based environment. Their core software product helps leading industrial organizations enhance asset performance by applying data science and machine learning to minimize waste and boost reliability. Full Stack Developer Opportunity Location: London (Office-based, collaborative team) Salary: £55,000 - £65,000 Industry: Data Analytics … Java and Python . Collaborate on infrastructure setup and maintenance. Focus on testing, coding, and refactoring to ensure high-quality solutions. Work closely with cross-functional teams (developers, DevOps, data scientists, product managers) in an agile methodology . Their Tech Stack includes: Backend: Spring & Spring Boot, Java, Python, FastAPI Frontend: Vue.js Cloud: AWS Databases: Elasticsearch & Postgres And more... This … role offers exciting opportunities to dive into various areas, including Natural Language Processing, Random Forest and Monte Carlo Simulations, Classification, Big Data ETL Pipelines, High Volume Event Processing, Predictive Analysis, CI/CD Cloud Ops, Mentoring, UX Design, Data Visualization, and Build Management Systems . This is a brilliant opportunity to join a company at the forefront More ❯

Key Responsibilities Design and build high-performance tools and services to validate the reliability, performance, and correctness of ML data pipelines and AI infrastructure. Develop platform-level test solutions and automation frameworks using Python, Terraform, and modern cloud-native practices. Contribute to the platform’s CI/CD pipeline by integrating automated testing, resilience checks, and observability hooks at … and provision cloud infrastructure. Strong understanding of software engineering best practices: code quality, reliability, performance optimization, and observability. Preferred Qualifications Exposure to machine learning workflows, model lifecycle management, or data engineering platforms. Experience with distributed systems, event-driven architectures (e.g., Kafka), and big data platforms (e.g., Spark, Databricks). Familiarity with banking or financial domain use cases … including data governance and compliance-focused development. Knowledge of platform security, monitoring, and resilient architecture patterns. More ❯

Key Responsibilities Design and build high-performance tools and services to validate the reliability, performance, and correctness of ML data pipelines and AI infrastructure. Develop platform-level test solutions and automation frameworks using Python, Terraform, and modern cloud-native practices. Contribute to the platform’s CI/CD pipeline by integrating automated testing, resilience checks, and observability hooks at … and provision cloud infrastructure. Strong understanding of software engineering best practices: code quality, reliability, performance optimization, and observability. Preferred Qualifications Exposure to machine learning workflows, model lifecycle management, or data engineering platforms. Experience with distributed systems, event-driven architectures (e.g., Kafka), and big data platforms (e.g., Spark, Databricks). Familiarity with banking or financial domain use cases … including data governance and compliance-focused development. Knowledge of platform security, monitoring, and resilient architecture patterns. More ❯