226 to 250 of 256 Data Engineering Jobs in the South East

code review systems, and are capable of producing high-quality prototypes and production code. They have experience running models on cloud hardware and parallelizing data and models across accelerators. Data engineering capabilities: The candidate is experienced in building ML data pipelines for training and evaluating deep … learning models, including raw data analysis, dataset management, and scalable pipeline construction. Passion for optimization: They possess in-depth knowledge of ML libraries, hardware interactions, and optimization techniques for model training, inference speed, and validation metrics performance. Mission-driven and curious: Motivated by the opportunity to make a positive More ❯

code review systems, and are capable of producing high-quality prototypes and production code. They have experience running models on cloud hardware and parallelizing data and models across accelerators. Data engineering capabilities: The candidate is experienced in building ML data pipelines for training and evaluating deep … learning models, including raw data analysis, dataset management, and scalable pipeline construction. Passion for optimization: They possess in-depth knowledge of ML libraries, hardware interactions, and optimization techniques for model training, inference speed, and validation metrics performance. Mission-driven and curious: Motivated by the opportunity to make a positive More ❯

product teams. What you'll be doing: Build and mature the analytics capability for the European market. Work directly with product, editorial, and global engineering teams. Define and track user engagement and performance metrics. Create, audit, and optimise dashboards and reporting tools. Translate business needs into clear technical requirements. … Looking ahead it's customer segmentation, proidling and personalisation projects Help shape the data roadmap from early foundations to advanced maturity. What you'll bring: Strong SQL and data pipeline understanding (you will work with data engineering teams rather than being hands on coding pipelines). … Proven experience building dashboards and defining KPIs. Comfortable with data flows, table mapping, and metric definitions. Stakeholder confidence – you’ll work with both editorial teams and global tech leads. Experience in media, publishing, or mobile product analytics preferred. Ability to manage ambiguity and thrive in a fast-changing environment. More ❯

decision-making. Ensuring AI models are scalable and efficient for real-world enterprise deployment. Experimenting with different machine learning and GenAI techniques, including prompt engineering, RAG (Retrieval Augmented Generation), fine-tuning of LLMs, RLHF (reinforcement learning with human feedback), and adversarial techniques. Evaluating AI model performance using statistical and … business-driven metrics. Working on natural language to SQL AI transformations to extract data value. Working on natural language to other meta-language translation/transformation (e.g. LaTeX/mermail.io for diagramming, or natural language to code). Speech to text. Developing explainable AI approaches for transparency and trust. … Prototype and testing AI models before full-scale deployment. Skills & experience Technical Expertise Understanding of transformer architectures, and large-scale language models. Experience with data engineering, model optimisation, and distributed computing. Strong programming skills in JavaScript, or Python/other AI-related languages. Strong SQL and data More ❯

organization. Primary Responsibilities: Manage and support the Fenergo application, ensuring it meets business requirements and operates efficiently. Support the design, development, and implementation of Data Management strategies for Fenergo. Provide ongoing system administration, troubleshooting, and issue resolution. Conduct regular system maintenance, including updates, patches, and system health checks. Develop … and maintain documentation related to system configurations, user guides, and troubleshooting procedures. Support integration efforts between Fenergo and other enterprise applications, ensuring data accuracy and consistency across systems. Support testing of new features and enhancements, ensuring minimal disruption to daily operations. Identify opportunities for process improvements and automation within … the Fenergo platform and collaborate with stakeholders to implement solutions. Assist in preparing reports and data extraction from Fenergo for analysis, audits, and decision-making. The ideal background for this role: Bachelor's or Master's degree (or equivalent higher education) in Information Technology, Data Engineering, or More ❯

Our client is looking for a Data BI Engineer . A bit of an all-arounder who has experience across the skills: Azure Synapse Analytics ADF Data Engineering ETL BI/Power BI The key for this role is being in the Kent area due to the More ❯

IMServ is one of the UK s leading data collection and energy metering experts, delivering award winning services to more customers in more places, meeting industry targets and becoming a benchmark for excellence. We offer a range of specialist metering technology for electricity, gas and water along with highly … accurate energy data collection services. All this is wrapped up with an easy-to-view online data management analysis and reporting software. PURPOSE OF ROLE: Software Engineers are the main creators of our new line of software products, helping us achieve our ambition to deliver highly scalable, exceptional … own the code throughout the entire product lifecycle, building an understanding of the market intent and tuning our outputs in conjunction with customer usage data to ensure success Senior Engineers also undertake more complex works including technical design, plus coach and guide more junior team members Our Team Leaders More ❯

IMServ is one of the UK’s leading data collection and energy metering experts, delivering award winning services to more customers in more places, meeting industry targets and becoming a benchmark for excellence. We offer a range of specialist metering technology for electricity, gas and water along with highly … accurate energy data collection services. All this is wrapped up with an easy-to-view online data management analysis and reporting software. PURPOSE OF ROLE: Software Engineers are the main creators of our new line of software products, helping us achieve our ambition to deliver highly scalable, exceptional … own the code throughout the entire product lifecycle, building an understanding of the market intent and tuning our outputs in conjunction with customer usage data to ensure success Senior Engineers also undertake more complex works including technical design, plus coach and guide more junior team members Our Team Leaders More ❯

Referment has partnered with a systematic hedge fund who have recently opened up a new role in their Data Engineering team. Working directly with PM's, traders and quants, you will be responsible for building and maintaining the data infrastructure that fuels their research and trading strategies … to work close to the investment process as the company grows and expands into new asset classes. The role will involve building and maintaining data pipelines for their intraday and systematic trading desks as well as frameworks to guarantee accuracy and integrity of datasets which dictate efficacy of their … quantitative strategies. As such, the successful applicant must have strong Python development skills and at least 4 years of experience working as a Data Engineer within financial markets. Key Requirements 4+ years of experience building ETL/ELT pipeline using Python within financial markets (ideally for a systematic trading More ❯

A passion for building scalable and impactful AI solutions. 🌟 Nice to Have Experience working with edge computing or low-latency AI systems. Knowledge of data engineering pipelines and real-time data processing. More ❯

s success ? allowing us to evolve underwriting intelligently and unlock massive scale. We're a multi-disciplined team, bringing together expertise in software and data engineering, full stack development, platform operations, algorithm research, and data science. Our squads focus on delivering high-impact features ? we favour a … effective technical solution. What you will bring You will have commercial experience of working across a modern web stack and will bring strong software engineering principles (SOLID, DRY, ER modelling) as well as experience with a server-side language, ideally JVM based and be comfortable working with cloud infrastructure More ❯

and testing of the regulatory reporting platform Develop new and enhance existing components in Scala, with a focus on back-end application development for data processing and reporting logic Collaborate with front-end developers on Typescript and Angular application development to improve report readability and user interaction Contribute as … requirements through constant interaction with treasury and finance business users to ensure reporting logic meets regulatory needs Collaborate with global and neighboring teams, including data engineering and UI teams, to ensure effective system integration and development Contribute to building a cloud-ready, horizontally scalable reporting system with multi … or strong Java application development skills Strong Test-Driven Development (TDD) experience, ideally with declarative testing tools Proficiency with Agile development methodologies and systems engineering Experience in build and release management principles, including continuous integration and continuous delivery Knowledge of application integration, software design patterns (e.g., for Spark execution More ❯

includes close collaboration with cross-functional teams to integrate machine learning models into scalable and secure production pipelines, enabling the delivery of real-time, data-driven solutions across various domains. Key Responsibilities • Model Deployment: Lead the deployment and scaling of LLMs and other deep learning models using inference engines … such as vLLM, Triton, or TGI, ensuring optimal performance and reliability. • Pipeline Engineering: Design and maintain automated pipelines for model finetuning, evaluation, versioning, and continuous delivery using tools like MLflow, SageMaker Pipelines, or Kubeflow. • Infrastructure Management: Architect and manage cloud-native, cost-effective infrastructure for machine learning workloads using … Performance Optimization: Implement monitoring, logging, and optimization strategies to meet latency, throughput, and availability requirements across ML services. • Collaboration: Work closely with ML researchers, data scientists, and engineers to support experimentation workflows, streamline deployment, and translate research prototypes into production-ready solutions. • Automation & DevOps: Develop infrastructure-as-code (IaC More ❯

markets across the world. We appreciate that not everyone wants to work within Oil and Gas trading, however, part of the role of the data team is to look at more sustainable options for trading all kinds of commodities products. You’re going to be getting involved with a … number of newly launched data projects, with your initial project being to work on this migration. You’ll face off with the business, understanding what they need, discussing solutions with the Data Science team, then building out the best solution possible, whether it be with an off the … ll be responsible for implementing various cutting-edge technologies. In terms of your technical experience you’ll need to have worked in a commercial data engineering role for at least 8 years, this is a senior position. Strong Python, and SQL experience will be required. Capital Markets experience More ❯

solutions for Trading, Risk Analysts, and Risk Managers. You will gain knowledge across a wide variety of asset classes while implementing and monitoring risk data controls and delivering risk analytics. You will be integral to the interaction between Risk Managers, Risk Development, and other central teams. Responsibilities: Build tools … framework used for monitoring and disseminating risk across the firm Work closely with subject matter experts from other teams to develop and continuously improve data flow and quality Work directly with Trading, developers and risk managers to monitor the health and utilization of risk systems to proactively detect/… resolve data issues Skills Required: Bachelor’s degree in computer science or equivalent degree Data Engineering experience. Experience in development in (Python, Java, C++) Machine learning, algo, strategy development or real-time trading development experience. Outstanding benefits package on offer to support you both professionally and personally. More ❯

in our Finance team, reporting to our Analytics Lead, and with significant exposure to our COO and teams across the company, including Treasury, Operations, Data Engineering and Markets. Key responsibilities Architect scalable financial models in dbt, ensuring performance and reliability. Design and implement a robust system health framework … for reliable, accurate financial data. Lead the strategic redesign of financial dashboards for evolving business needs and product growth. Become a Financial Data SME – someone who understands the in’s and out’s of our monthly numbers, and is able to proactively dig into/solve analytics issues proactively. … 5+ years working in an analytical role at a financial institution or tech start-up. Strong SQL skills, and able to handle large, complex data structures from multiple sources. Experience scaling performant and reliable analytics systems – strong preference for dbt experience; proficiency with Python or R a plus. Can More ❯

I'm working with a key client of ours here at TRG who are looking to grow out their Data & Analytics function. My client are globally renowned for being a leader within their relative field. Whilst they are a very well recognised house hold brand, they are also known … tech enthusiasts to bring out the best in technology by utilising the latest technologies available on the market. This role is sat within the Data engineering team. Whilst this is a lead role, the expectation is that this is very much about leading from the front and being … in the trenches of engineering & Development. This is a hands on role where the successful applicant will be building pipelines but also being heavily involved in designing architectures for an array of projects where greenfield snowflake implementations will be taking place. This is a salaried position and depending on More ❯

About Sigmoid Analytics: Sigmoid enables business transformation using data and analytics, leveraging real-time insights to make accurate and fast business decisions, by building modern data architectures using cloud and open source. Some of the world’s largest data producers engage with Sigmoid to solve complex business … problems. Sigmoid brings deep expertise in data engineering, predictive analytics, artificial intelligence, and DataOps. Sigmoid has been recognized as one of the fastest growing technology companies in North America in 2020, 2021, 2022, 2023, 2024 by Financial Times, Inc. 5000, and Deloitte Technology Fast 500. Having started in More ❯

Integration Engineer City of London - Contract Circa £700 per day OUTSIDE IR35 APIs ; Data Flows ; Azure Logic Apps Working with prestigious London market insurer I am looking for an experienced integration engineer to ensure my clients platforms can communicate effectively and securely. They've invested in a data … with business and project teams, you will be in the perfect place to build relationships to support our operational responsibilities such as maintaining our data quality, timeliness, and spotting opportunities to continually improve the way they transform data. You will need: Design and implement system integrations using APIs and … data pipelines, ensuring security, scalability, and performance. Document all integrations clearly, including logic, dependencies, and failover processes. Use tools such as Azure Logic Apps, API Management, and other approved integration platforms. Integration Delivery Collaborate with data engineering and application teams to deliver integrations into live environments. Monitor More ❯

technology, work life, and collaboration. You'll be someone who comes from a strong development background, working on ETLs and passionate about all things data related. You should come from an outstanding academic background and excellent data engineering skills, but haven't quite ventured into the hedge More ❯

a comprehensive AI-driven platform for the built world. Our core product is used by solar and roofing companies for various use cases. Our engineering team has a strong technical academic background from UC Berkeley, Ecole Polytechnique, and ETH Zurich, complemented by extensive technical experience gained at some of … one. We expect your to have multiple PRs by the end of week 1. Doesn't bullshi*. Qualifications Required: 4+ years of backend engineering experience, with hands-on involvement in developing production-level code. Proficiency in architecting, building, and maintaining REST APIs for production applications. Expertise in relational … Strong proficiency in Python & Django Familiarity with code versioning tools and continuous integration. Fluent in English, with excellent communication skills. People with Mathematics, Electrical Engineering with a focus on computing backgrounds will excel at this role. Preferred: We know you won’t know everything but having a good general More ❯

and are looking to grow exponentially over the next few years. We're a multi-disciplined team, bringing together expertise in software and data engineering, full stack development, platform operations, algorithm research, and data science. Our squads focus on delivering high-impact features – we have open and More ❯

an Investment Bank is currently seeking a kdb+ Developer across the Front Office to play a key role in a number of kdb+ tick data related trading projects. This role is situated across the front office trading desks alongside traders, quants and senior stakeholders, and is part of the … kdb+ Engineering Team that is responsible for providing end-to-end development, data engineering and support for all kdb+ plants across the division. The successful consultant will take on a fast-paced, exciting role, and will contribute significantly to the success of the department. You will not … only support an elite team of traders and engineers, but also contribute to the future of this investment bank's Derivatives tick data driven trading strategies. Experience required: kdb+/Q programming skills Experience supporting front office trading desks, ideally across Derivatives/Equities/FX/Fixed Income More ❯

infrastructure needed to price, analyze, and execute trades in commodities markets (e.g., oil, gas). The PM is keen to get someone from a data engineering background. Tech: Python, SQL, Pandas, AWS, ETL, Airflow Please apply if this fits. More ❯

Bow has partnered with an amazing Fintech company within the banking space Backed by major financial institutions. This company connects banks through a shared data network, helping them manage risk smarter and save on costs across the board. Your Role: You’ll drive the evolution of the company’s … product vision and strategy Mentor a Junior Product Manager and foster a culture of excellence Skills Needed: Experience leading cross-functional teams in complex, data-driven environments within a Lead PM or Senior capacity Good understanding of data engineering and AI Setting product strategy and OKRs, managing More ❯