51 to 75 of 104 Big Data Jobs in the South East

fostering innovation, and ensuring robust dataarchitecture that empower multiple products and capabilities topower business decisions, scalability, and operationalexcellence. As a strategic leader, the Directorof Data Platforms and Architecture will oversee the implementationand optimization of cutting-edge data technologies & solutions,establish best practices in data platforms and governance … andprovide technical leadership to multidisciplinary teams. You willwork closely with stakeholders across business, IT, and analyticsteams to align data architecture with organizational goals,enabling seamless data acquisition and advanced analyticscapabilities. Whatwill be your keyresponsibilities? StrategicLeadership: Develop anddrive the long-term vision for enterprise data platforms andarchitecture, ensuring … leaders to identify opportunities for leveraging dataas a strategic asset. DataPlatform Oversight: Overseethe design, implementation, and maintenance of modern dataplatforms, including cloud-native solutions, data lakes, datawarehouses, and real-time processingsystems. Ensure scalability, reliability, andhigh availability of the data ecosystem to support growing businessneeds. ArchitectureDesign: Define and implemententerprise More ❯

fostering innovation, and ensuring robust dataarchitecture that empower multiple products and capabilities topower business decisions, scalability, and operationalexcellence. As a strategic leader, the Directorof Data Platforms and Architecture will oversee the implementationand optimization of cutting-edge data technologies & solutions,establish best practices in data platforms and governance … andprovide technical leadership to multidisciplinary teams. You willwork closely with stakeholders across business, IT, and analyticsteams to align data architecture with organizational goals,enabling seamless data acquisition and advanced analyticscapabilities. Whatwill be your keyresponsibilities? StrategicLeadership: Develop anddrive the long-term vision for enterprise data platforms andarchitecture, ensuring … leaders to identify opportunities for leveraging dataas a strategic asset. DataPlatform Oversight: Overseethe design, implementation, and maintenance of modern dataplatforms, including cloud-native solutions, data lakes, datawarehouses, and real-time processingsystems. Ensure scalability, reliability, andhigh availability of the data ecosystem to support growing businessneeds. ArchitectureDesign: Define and implemententerprise More ❯

Python Engineer – Distributed Systems & Big Data Location: London (Hybrid or Remote within the UK) Type: Full-time | Competitive Salary + Equity Options We’re looking for a talented Python Engineer to join one of our premier clients based out of London. You’ll play a key role in … our next-generation platform. What You’ll Do: Design, build, and optimise distributed systems for high throughput and low latency. Work with large-scale data pipelines (terabytes to petabytes). Collaborate closely with product and data teams to solve complex engineering challenges. Write clean, maintainable Python code and … For: Strong Python programming skills (5+ years preferred). Deep experience with distributed systems (e.g., Kafka, Spark, Ray, Kubernetes). Hands-on work with big data technologies and architectures. Solid understanding of concurrency, fault tolerance, and data consistency. Comfortable in a fast-paced, highly collaborative environment. Bonus More ❯

Chief Data Scientist London – Hybrid (3 days a week in Chelsea) Up to £120,000 + Benefits The Opportunity We are excited to be working with a long standing partner of ours on a new Chief Data Scientist position. You will be joining an organisation where data drives strategic decision-making within the property space. You’ll lead the data science vision while remaining hands-on with AI and machine learning initiatives that have real business impact. This is ideal for someone who enjoys blending leadership, strategy, and technical depth. This would be a great … opportunity for someone looking to take a step up in their career - I.e. Someone at the Principal, Manager, Head of Data Science level. Key Responsibilities Define and deliver the data science strategy to unlock business value. Identify AI/ML opportunities and develop impactful, scalable solutions. Lead and More ❯

solutions, then we wish to talk with you. As a Lead Architect (Azure), you will work in the Technology team that helps deliver our Data Engineering offerings at large scale to our Fortune clients worldwide. The role is responsible for innovating, building and maintaining technology services. Responsibilities: Be an … s degree in Computer Science or related field with more than 8 years of technology experience Strong experience in System Integration, Application Development or Data-Warehouse projects, across technologies used in the enterprise space. Software development experience using: Object-oriented languages (e.g., Python, PySpark,) and frameworks Stakeholder Management Expertise … in relational and dimensional modelling, including big data technologies. Exposure across all the SDLC process, including testing and deployment. Expertise in Microsoft Azure is mandatory including components like Azure Data Factory, Azure Data Lake Storage, Azure SQL, Azure DataBricks, HD Insights, ML Service etc. Good knowledge More ❯

Job Title: Data Engineer - Microsoft Azure Location: Weybridge Rate: £19.93ph to £35.60ph PAYE - Depending on Experience Employment Type: Contract (Duration: June 1, 2025 - October 1, 2025) Hours: 37.5 per week Reference: PG4194 Job Description: Responsibilities: Design, develop, and maintain scalable data solutions and pipelines using Microsoft Azure, translating … architectural designs into technical implementations for data acquisition, processing, storage, and insights. Improve and automate existing data workflows and business automations to enhance data quality and streamline processes, leveraging Azure technologies for better performance and reliability. Create interactive Power BI reports, dashboards, and visualizations; optimize data models and DAX calculations for accuracy and performance. Collaborate with cross-functional teams to gather requirements and deliver tailored data solutions that meet business needs. Establish and promote best practices in data management and governance, guide in structuring cloud environments, and support data initiatives and future More ❯

Infrastructure Engineer - Big-Data Fintech Firm - London Do you want to join a world-leading big-data fintech firm with clients exclusively in the buy-side financial services space? You'll be joining the Corporate Infrastructure team, working closely with the Head of IT. Your role More ❯

depth understanding of the code behind the Apache ecosystem, should have experience in Cloudera or similar distribution and should possess in depth knowledge of bigdata tech stack. Requirement: Experience of platform engineering along with application engineering (hands-on) Experience in design of an open source platform based on Apache framework … to support all developers in migrating and debugging various RiskFinder critical applications. They need to be "Developers" who are expert in designing and building Big Data platforms using Apache Hadoop and support Apache Hadoop implementations both in cloud environments and on-premises. More ❯

Job Title: Senior Data Scientist (AI & ML) Location: London hybrid Salary: £80-90K + Equity About the Company: A super interesting start-up that is on a mission to take on some of the most complex challenges in the field of predictive models, fraud detection, and AI-powered … insights. What You’ll Do: As a Senior Data Scientist, you will own the product and lead the development of AI features. You’ll be a hands-on “do-er” who’s comfortable rolling up your sleeves and executing. This role is ideal for an individual who excels at … large datasets and cutting-edge technologies. You’ll be responsible for: Building and optimising machine learning models using NLP and graph vector DBs Leveraging big data efficiently to create actionable insights Working with large documents, data infrastructure, and containerization Investigating fraud and ethics reports, transforming raw data More ❯

Location: Osterley/Hybrid Duration: 12 Months We are seeking a highly skilled and experienced Back-End Developer with advanced expertise in Go (Golang), data analytics, and cloud-based backend services. This individual will play a key role in building scalable APIs, processing data pipelines, and supporting front … backend services using Go (Golang). Design and implement RESTful APIs and GraphQL endpoints to support front-end applications. Process and optimize large-scale data pipelines for real-time analytics and reporting. Write clean, maintainable, and efficient code that adheres to best practices and coding standards. Utilize AWS cloud … services for scalable and secure backend application deployment. Ensure robust data storage and management using PostgreSQL and other database solutions. Implement authentication, authorization, and security best practices in backend services. Improve CI/CD pipelines for automated deployments and infrastructure management. Architecture and Performance Lead performance optimization initiatives for More ❯

of RMN platforms, covering sponsored ads, programmatic DSP, self-service portals, and dynamic ad placements. • Design scalable and modular RMN solutions, integrating Ad-Serving, Data Management Platforms (DMP), Customer Data Platforms (CDP), and Demand-Side Platforms (DSP). • Ensure real-time bidding (RTB) and programmatic advertising capabilities within … Implement Generative AI for automated ad creation, content personalization, and A/B testing. • Enhance Dynamic Creative Optimization (DCO) capabilities for personalized ad experiences. Data & Integration Framework • Define data ingestion, processing, and activation strategies across first-party, second-party, and third-party data sources. • Ensure seamless API … performance effectively. Ad-Tech Stack & Cloud Architecture • Design RMN solutions leveraging Google Cloud, AWS, or Azure, ensuring high availability and low-latency performance. • Optimize data pipelines, real-time analytics, and identity resolution mechanisms. • Oversee privacy-compliant data handling (GDPR, CCPA) and secure identity frameworks. Stakeholder Collaboration & Roadmap Execution More ❯

sophisticated technology to trade a broad range of energy, metals, and agricultural commodities globally. Our success is driven by cutting-edge analytics, high-frequency data processing, and a commitment to innovation. We are now looking for a Senior Python Engineer to join our dynamic team in London and drive … Senior Python Engineer, you will be at the heart of our technology platform, building robust systems that enhance our trading strategies, risk management, and data analysis. You will collaborate closely with quants, data scientists, and traders, providing Python-based solutions that directly impact the profitability of the business. … of technology in financial markets. Key Responsibilities: Design, develop, and maintain highly efficient Python-based applications for commodities trading, risk management, and real-time data analysis. Build scalable, high-performance data pipelines to process large datasets from multiple sources, including real-time market data and fundamental data. More ❯

Azure Databricks Engineer to join a renewable energy firm based in London. You'll play a hands-on role in developing and optimising modern data lakehouse solutions on Azure, while supporting critical analytics and data delivery systems. The environment encourages technical ownership, collaboration, and the chance to tackle … complex cloud-native engineering challenges. THE COMPANY This is a leading organisation within the renewable energy sector, dedicated to sustainable innovation and data-driven operations. The business is undergoing rapid digital transformation, investing in cloud-based technologies to optimise performance, forecasting, and environmental impact. With operations across multiple regions … their data initiatives play a key role in supporting clean energy production, distribution, and strategy. THE ROLE You'll join a collaborative engineering team focused on building scalable, secure, and efficient data platforms on Microsoft Azure. Your work will directly support migration initiatives, analytics enablement, and platform reliability. More ❯

fraud risk intelligence who are seeking a Senior Machine Learning Engineer. You will work along the end-to-end machine learning lifecycle, focusing on data engineering and maintaining real-time data pipelines. Your responsibilities will include developing and maintaining ETL processes, designing and implementing machine learning algorithms, and … deploying and monitoring models in production environments The Ideal Candidate Education & Experience: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. 7+ years of professional experience in areas such as fraud prevention or credit scoring. Machine Learning Expertise: Strong understanding of machine learning … algorithms and their practical applications. Experience with frameworks like TensorFlow, PyTorch, and scikit-learn. Data Engineering: Proficiency in developing and maintaining real-time data pipelines. Experience with ETL processes, Python, and SQL. Familiarity with big data technologies like Apache Hadoop and Apache Spark. MLOps & Deployment: Experience More ❯

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 … 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 Specific sports trading knowledge is beneficial but not essential If you feel you More ❯

a 6 month contract with a high likelihood of extension. As the Technical Lead, you will be responsible for leading a talented team of data engineers and architects in designing, building, and optimising their datalakehouse infrastructure. This role requires a deep understanding of Databricks and a passion for data … to gather requirements and define technical specifications. Mentor and guide team members, fostering a culture of continuous learning and improvement. Ensure best practices in data management, security, and governance are followed. Troubleshoot and resolve technical issues, ensuring high availability and performance. Stay up-to-date with the latest industry … trends and technologies to drive innovation. Qualifications: Proven experience as a Technical Lead or similar role, with a focus on Databricks. Strong expertise in data engineering, ETL processes, and data warehousing. Proficiency in programming languages such as Python, Scala, or SQL. Experience with cloud platforms (e.g., AWS, Azure More ❯

The ideal candidate's favourite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. Responsibilities Analyze raw data: assessing quality, cleansing … degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years of experience in quantitative analytics or data modelling Deep understanding of predictive modelling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL … Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau More ❯

Junior–Mid Software Engineer (Data Pipelines) 📍 Onsite – London | Full-time We’re helping one of our partner — a seriously exciting AI company started by a team of top scientists — find a Software Engineer to join their data team. They’re building powerful platforms that help organisations make smarter … decisions, and the data ingestion & pipelines team plays a huge part in that. You’d be working on real infrastructure, solving real problems, and making an actual impact from day one. What you’ll be up to: Building and optimising data pipelines (think ETL, scraping, ingestion) Keeping data accurate, clean, and flowing smoothly Collaborating with engineers, analysts, and data scientists Playing around with modern tools, cloud platforms, and a very smart team You might be a good fit if you: Have 1–3 years of experience writing software (Python, Java, Scala — whatever works) Know your way More ❯

Proficient in statistical data analysis, machine learning, and NLP, with a clear understanding of practical applications and limitations. · Experienced in developing and implementing AI solutions, including classification, clustering, anomaly detection, and NLP. · Skilled in complete project delivery, from data preparation to model building, evaluation, and visualization. · Proficient in … Python programming and SQL, with experience in production-level code and data analysis libraries. · Familiar with ML Ops, model development workflows, and feature engineering techniques. · Capable of manipulating data and developing models accessible for business use, with experience in Azure AI Search. · Adept with software development methodologies, code … tools (e.g., JIRA). · Enthusiastic about learning new technologies and adept at problem-solving and delivering production-ready solutions. · Additional knowledge in Cloud Computing, Big Data tools, visualization tools, and containerization tools is beneficial. · Excellent communication skills in English, with fluency in UNIX command line and familiarity with More ❯

curious and ambitious Computer Science graduate or a person with 1-2 years of work experience looking to launch your career in AI and data science? Join our growing team of world-class data scientists and AI engineers, and help us build technology that understands written language at … and leading corporations—making a real-world impact every day. As part of our team, you’ll work on innovative projects, tackle real-world data challenges, and collaborate closely with our CTO. This is a full-time role with a starting salary of £40,000–£45,000 and the … We work in a flexible hybrid model, part remote and part from our central London (Holborn) office. What You'll Do Dive into raw data to assess quality, clean, structure, and prepare it for downstream processing. Design and implement scalable, high-performance prediction algorithms. Collaborate with engineers to transform More ❯

delivery of cloud-native solutions, collaborating with product and engineering teams to create scalable, secure, and resilient platforms. You'll be instrumental in leveraging data, analytics, and technology to enhance customer experiences and drive innovative change across the organisation. What you'll be doing: Designing robust cloud architecture solutions … cloud security , resilience, and operational efficiency. Collaborating with cross-functional teams to develop microservices, containerised applications, and event-driven architectures. Supporting the delivery of data-driven products , unlocking insights through modern data platforms. Providing technical leadership and guidance on API development , network security, and FinOps. Playing an active … design. Strong understanding of microservices , containerisation , and event-driven system design. Expertise in API security , networking, and cloud FinOps principles. Hands-on knowledge of data technologies (SQL/NoSQL, Big Data platforms). Awareness of ML/AI capabilities within GCP is a bonus. Proficiency with modern More ❯

the future of computational research by leading the development of cutting-edge infrastructure to support high-performance computing, AI-driven analytics, and large-scale data processing. Working at the intersection of genomics, synthetic biology, and chemistry, you'll collaborate with researchers and technical teams to design tailored computational solutions … ensuring compliance with data management best practices. You'll recruit, mentor, and lead a multidisciplinary team while optimising computing resources for scalability and efficiency. Key Responsibilities: Lead the development and implementation of a strategic vision for scientific computing, integrating advanced technologies to support large-scale data processing, high … computing, and AI-driven analytics in genomic research. Oversee and manage the scientific computing infrastructure, ensuring it meets the evolving needs of computational biology, data analysis, and laboratory automation across diverse research programs. Collaborate closely with researchers and technical teams to design and implement computational solutions tailored to applications More ❯

Senior/Principal Software Engineer - Data - (Kotlin/Java) London Remote-first organisation, but will involve some visits to London office £100,000-£140,000 (potential flex for exceptional candidates) We're after an experienced Java/Kotlin engineer who wants to solve hard technical problems, with experience in … building data-intensive, high-throughput systems. This is a small, high-impact team working on a central data store supporting mission-critical platforms at a global scale. What you'll do: Design and build highly concurrent, data-intensive systems. Work on distributed architectures, optimizing for low latency … and high throughput. Leverage big data technologies like Redis, distributed caches, and modern data stores (e.g., Couchbase, Cassandra). Solve challenging engineering problems at scale, ensuring reliability and performance under heavy load. What you'll need: Strong Kotlin or Java experience (Kotlin preferred). Background in data More ❯

Hybrid Closing Date for applications: Thursday 29th May Join Ageas as a Lead Machine Learning Engineer! Are you passionate about Machine Learning, AI, and Data Science? Do you thrive in a dynamic environment where you can lead innovative projects and collaborate with top-tier professionals? Ageas UK is looking … for a talented Lead Machine Learning Engineer to join our Data Science Operations team and drive the future of AI technologies within our organisation. At Ageas, data and analytics are key enablers for performance improvement and growth. As part of our Enterprise Data Services function, you'll … ML Engineers to develop, monitor, and utilise market-leading AI solutions that drive growth and competitive advantage. Work closely with our Advanced Analytics Team, Data Engineering, IT Development, and external partners like Databricks and Microsoft. Collaborate with internal and external teams to productionize AI and ML solutions. Ensure the More ❯

Data Analyst - Southampton - £30,000 - £45,000 per annum. VIQU have partnered with a fast-growing SaaS and data analytics company who are looking to expand their current team and hire a geospatial data analyst. The ideal candidate will hold experience with modelling physical objects, have extensive … experience with Python (or a similar language), and an ability to process big data. This position requires you to be on site twice a week in their Southampton office. You will be joining a team of high achievers, working within a rapidly emerging industry with exposure to a range … of technologies. Job Duties of the Data Analyst: Run and develop simulations and experiments, utilising scripting languages (Python) to do so. Utilising a range of data analysis techniques. Extracting and transforming data using SQL. Ensuring validity of data, communicating your research internally, helping to integrate the More ❯