651 to 675 of 768 Remote Data Engineering Jobs

We’re partnering with a market-leading organisation in search of an exceptional Operations Lead to take ownership of a high-performing Azure-based data platform. This is a pivotal role for a strategic yet hands-on operations professional who thrives in complex environments and enjoys making things run brilliantly. As the single point of contact for platform operations … incident response, define SLAs, drive FinOps practices, and champion automation and observability. If you enjoy combining technical depth with operational excellence, and want to shape the future of a data platform that powers critical business insight, this could be your next challenge. What You’ll Be Doing Owning the day-to-day stability and performance of a cutting-edge … Azure data platform. Acting as the primary point of contact for incidents and outages – leading resolution, root cause analysis, and stakeholder communications. Defining and enforcing SLAs for key pipelines, datasets, and reporting assets. Running FinOps forums to improve cost transparency, accountability, and platform efficiency. Overseeing CI/CD pipelines and deployments, ensuring safe, reliable, and compliant change delivery. Driving More ❯

We’re partnering with a market-leading organisation in search of an exceptional Operations Lead to take ownership of a high-performing Azure-based data platform. This is a pivotal role for a strategic yet hands-on operations professional who thrives in complex environments and enjoys making things run brilliantly. As the single point of contact for platform operations … incident response, define SLAs, drive FinOps practices, and champion automation and observability. If you enjoy combining technical depth with operational excellence, and want to shape the future of a data platform that powers critical business insight, this could be your next challenge. What You’ll Be Doing Owning the day-to-day stability and performance of a cutting-edge … Azure data platform. Acting as the primary point of contact for incidents and outages – leading resolution, root cause analysis, and stakeholder communications. Defining and enforcing SLAs for key pipelines, datasets, and reporting assets. Running FinOps forums to improve cost transparency, accountability, and platform efficiency. Overseeing CI/CD pipelines and deployments, ensuring safe, reliable, and compliant change delivery. Driving More ❯

We're partnering with a market-leading organisation in search of an exceptional Operations Lead to take ownership of a high-performing Azure-based data platform. This is a pivotal role for a strategic yet hands-on operations professional who thrives in complex environments and enjoys making things run brilliantly. As the single point of contact for platform operations … incident response, define SLAs, drive FinOps practices, and champion automation and observability. If you enjoy combining technical depth with operational excellence, and want to shape the future of a data platform that powers critical business insight, this could be your next challenge. What You'll Be Doing Owning the day-to-day stability and performance of a cutting-edge … Azure data platform. Acting as the primary point of contact for incidents and outages - leading resolution, root cause analysis, and stakeholder communications. Defining and enforcing SLAs for key pipelines, datasets, and reporting assets. Running FinOps forums to improve cost transparency, accountability, and platform efficiency. Overseeing CI/CD pipelines and deployments, ensuring safe, reliable, and compliant change delivery. Driving More ❯

We’re partnering with a market-leading organisation in search of an exceptional Operations Lead to take ownership of a high-performing Azure-based data platform. This is a pivotal role for a strategic yet hands-on operations professional who thrives in complex environments and enjoys making things run brilliantly. As the single point of contact for platform operations … incident response, define SLAs, drive FinOps practices, and champion automation and observability. If you enjoy combining technical depth with operational excellence, and want to shape the future of a data platform that powers critical business insight, this could be your next challenge. What You’ll Be Doing Owning the day-to-day stability and performance of a cutting-edge … Azure data platform. Acting as the primary point of contact for incidents and outages – leading resolution, root cause analysis, and stakeholder communications. Defining and enforcing SLAs for key pipelines, datasets, and reporting assets. Running FinOps forums to improve cost transparency, accountability, and platform efficiency. Overseeing CI/CD pipelines and deployments, ensuring safe, reliable, and compliant change delivery. Driving More ❯

We’re partnering with a market-leading organisation in search of an exceptional Operations Lead to take ownership of a high-performing Azure-based data platform. This is a pivotal role for a strategic yet hands-on operations professional who thrives in complex environments and enjoys making things run brilliantly. As the single point of contact for platform operations … incident response, define SLAs, drive FinOps practices, and champion automation and observability. If you enjoy combining technical depth with operational excellence, and want to shape the future of a data platform that powers critical business insight, this could be your next challenge. What You’ll Be Doing Owning the day-to-day stability and performance of a cutting-edge … Azure data platform. Acting as the primary point of contact for incidents and outages – leading resolution, root cause analysis, and stakeholder communications. Defining and enforcing SLAs for key pipelines, datasets, and reporting assets. Running FinOps forums to improve cost transparency, accountability, and platform efficiency. Overseeing CI/CD pipelines and deployments, ensuring safe, reliable, and compliant change delivery. Driving More ❯

We’re partnering with a market-leading organisation in search of an exceptional Operations Lead to take ownership of a high-performing Azure-based data platform. This is a pivotal role for a strategic yet hands-on operations professional who thrives in complex environments and enjoys making things run brilliantly. As the single point of contact for platform operations … incident response, define SLAs, drive FinOps practices, and champion automation and observability. If you enjoy combining technical depth with operational excellence, and want to shape the future of a data platform that powers critical business insight, this could be your next challenge. What You’ll Be Doing Owning the day-to-day stability and performance of a cutting-edge … Azure data platform. Acting as the primary point of contact for incidents and outages – leading resolution, root cause analysis, and stakeholder communications. Defining and enforcing SLAs for key pipelines, datasets, and reporting assets. Running FinOps forums to improve cost transparency, accountability, and platform efficiency. Overseeing CI/CD pipelines and deployments, ensuring safe, reliable, and compliant change delivery. Driving More ❯

and physical trading teams. The role will focus on building and improving a modern metals trading analytics & visualisation platform. You'll deliver production-grade Python systems, dashboards, automation and data pipelines that provide traders and risk teams with fast, reliable insights to support trading and risk decision-making. 6 month rolling contract (strong likelihood of multi-year renewals) Rate … Python services and ETL pipelines for trading analytics. Build and enhance dashboards and visualisations (Grafana or equivalent) for traders and risk teams. Implement analytics, aggregation and automation to improve data quality, latency and reporting. Work closely with traders, risk, and data engineers to translate business requirements into reliable software. Contribute to deployment, CI/CD, containerisation and monitoring … of services. Help maintain documentation, tests and runbooks for production systems. Technical/professional skills (essential) Strong production Python experience (3+ years at senior level). Proven experience with data engineering/ETL and time-series or market data. Experience building dashboards/visualisations - Grafana highly preferable . Solid SQL skills and working knowledge of databases (Postgres, TimescaleDB More ❯

and physical trading teams. The role will focus on building and improving a modern metals trading analytics & visualisation platform. You’ll deliver production-grade Python systems, dashboards, automation and data pipelines that provide traders and risk teams with fast, reliable insights to support trading and risk decision-making. 📍 6 month rolling contract (strong likelihood of multi-year renewals) 💸 Rate … Python services and ETL pipelines for trading analytics. Build and enhance dashboards and visualisations (Grafana or equivalent) for traders and risk teams. Implement analytics, aggregation and automation to improve data quality, latency and reporting. Work closely with traders, risk, and data engineers to translate business requirements into reliable software. Contribute to deployment, CI/CD, containerisation and monitoring … of services. Help maintain documentation, tests and runbooks for production systems. Technical/professional skills (essential) Strong production Python experience (3+ years at senior level). Proven experience with data engineering/ETL and time-series or market data. Experience building dashboards/visualisations — Grafana highly preferable . Solid SQL skills and working knowledge of databases (Postgres, TimescaleDB More ❯

and physical trading teams. The role will focus on building and improving a modern metals trading analytics & visualisation platform. You’ll deliver production-grade Python systems, dashboards, automation and data pipelines that provide traders and risk teams with fast, reliable insights to support trading and risk decision-making. 📍 6 month rolling contract (strong likelihood of multi-year renewals) 💸 Rate … Python services and ETL pipelines for trading analytics. Build and enhance dashboards and visualisations (Grafana or equivalent) for traders and risk teams. Implement analytics, aggregation and automation to improve data quality, latency and reporting. Work closely with traders, risk, and data engineers to translate business requirements into reliable software. Contribute to deployment, CI/CD, containerisation and monitoring … of services. Help maintain documentation, tests and runbooks for production systems. Technical/professional skills (essential) Strong production Python experience (3+ years at senior level). Proven experience with data engineering/ETL and time-series or market data. Experience building dashboards/visualisations — Grafana highly preferable . Solid SQL skills and working knowledge of databases (Postgres, TimescaleDB More ❯

and physical trading teams. The role will focus on building and improving a modern metals trading analytics & visualisation platform. You’ll deliver production-grade Python systems, dashboards, automation and data pipelines that provide traders and risk teams with fast, reliable insights to support trading and risk decision-making. 📍 6 month rolling contract (strong likelihood of multi-year renewals) 💸 Rate … Python services and ETL pipelines for trading analytics. Build and enhance dashboards and visualisations (Grafana or equivalent) for traders and risk teams. Implement analytics, aggregation and automation to improve data quality, latency and reporting. Work closely with traders, risk, and data engineers to translate business requirements into reliable software. Contribute to deployment, CI/CD, containerisation and monitoring … of services. Help maintain documentation, tests and runbooks for production systems. Technical/professional skills (essential) Strong production Python experience (3+ years at senior level). Proven experience with data engineering/ETL and time-series or market data. Experience building dashboards/visualisations — Grafana highly preferable . Solid SQL skills and working knowledge of databases (Postgres, TimescaleDB More ❯

and physical trading teams. The role will focus on building and improving a modern metals trading analytics & visualisation platform. You’ll deliver production-grade Python systems, dashboards, automation and data pipelines that provide traders and risk teams with fast, reliable insights to support trading and risk decision-making. 📍 6 month rolling contract (strong likelihood of multi-year renewals) 💸 Rate … Python services and ETL pipelines for trading analytics. Build and enhance dashboards and visualisations (Grafana or equivalent) for traders and risk teams. Implement analytics, aggregation and automation to improve data quality, latency and reporting. Work closely with traders, risk, and data engineers to translate business requirements into reliable software. Contribute to deployment, CI/CD, containerisation and monitoring … of services. Help maintain documentation, tests and runbooks for production systems. Technical/professional skills (essential) Strong production Python experience (3+ years at senior level). Proven experience with data engineering/ETL and time-series or market data. Experience building dashboards/visualisations — Grafana highly preferable . Solid SQL skills and working knowledge of databases (Postgres, TimescaleDB More ❯

and physical trading teams. The role will focus on building and improving a modern metals trading analytics & visualisation platform. You’ll deliver production-grade Python systems, dashboards, automation and data pipelines that provide traders and risk teams with fast, reliable insights to support trading and risk decision-making. 📍 6 month rolling contract (strong likelihood of multi-year renewals) 💸 Rate … Python services and ETL pipelines for trading analytics. Build and enhance dashboards and visualisations (Grafana or equivalent) for traders and risk teams. Implement analytics, aggregation and automation to improve data quality, latency and reporting. Work closely with traders, risk, and data engineers to translate business requirements into reliable software. Contribute to deployment, CI/CD, containerisation and monitoring … of services. Help maintain documentation, tests and runbooks for production systems. Technical/professional skills (essential) Strong production Python experience (3+ years at senior level). Proven experience with data engineering/ETL and time-series or market data. Experience building dashboards/visualisations — Grafana highly preferable . Solid SQL skills and working knowledge of databases (Postgres, TimescaleDB More ❯

this is a voluntary unpaid role. Responsibilities To provide leadership, strategic planning, and administrative and personnel management across the entire Division, particularly with projects that combine "Sustainable Finance" and "Data Technologies" in response to demands from governments; To report to the Director-General, the ExCo, and advisors on progress across the management and a wide range of projects taking … Finance standards - This includes financial products such as Fixed Income (e.g. ICMA Green Bonds Principles, ISO 14030, etc), Equities (e.g. SASB, GRI, IFRS), and EU Taxonomy, among others. Transformational Data Technologies Blockchain and Distributed Ledger Technologies - This should include well-known open-source projects like Ethereum as well as domain-specific ones like Corda R3. Artificial Intelligence - The increasing … amount of data from ESG investment requires the use of new technologies like Machine Learning (ML). The Director of Research in this Division should demonstrate experience with supervised and unsupervised ML. Internet of Things - Data from real economy projects in sectors such as Energy, Transport, Materials & Buildings, and Agriculture, among others could be collected in order to More ❯

API design, and cloud-native development (AWS, Azure, or GCP preferred). Experience with CI/CD pipelines, automated testing, and DevOps practices. Solid grasp of security best practices, data privacy, and GDPR compliance. Excellent communication skills, with the ability to work effectively across multidisciplinary teams and stakeholders. Strong problem-solving skills and a pragmatic approach to delivering solutions. … and Kubernetes. Familiarity with event-driven architecture and message brokers (e.g., Kafka, RabbitMQ). Knowledge of front-end performance optimisation and accessibility standards. Exposure to machine learning pipelines or data engineering workflows. Prior experience working in startup environments or high-growth technology companies. Benefits Hybrid working as standard 25 days annual leave plus bank holidays Flexible holiday scheme More ❯

highly motivated Lead Software Engineer with deep expertise in Artificial Intelligence (AI) , Machine Learning (ML) , and Python development to lead the design, development, and deployment of intelligent systems and data-driven applications for a leading client in London. The ideal candidate will have a strong background in AI/ML frameworks, scalable system design, and Python-based development, along … architecture and development of AI/ML solutions, ensuring scalable and efficient design. Design and implement ML models and algorithms (classification, regression, NLP, etc.) using modern frameworks. Collaborate with data scientists, engineers, and product teams to transform prototypes into production-grade applications. Optimize model performance and manage end-to-end ML lifecycle (data ingestion, training, evaluation, deployment). … Mentor junior engineers and contribute to code reviews, best practices, and technical decision-making. Implement MLOps pipelines for continuous training, deployment, and monitoring of models. Ensure compliance with data privacy and security regulations (GDPR, etc.). Required Skills & Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, AI, or related field. 7+ years of professional software More ❯

technology that drives sustainability and innovation in one of the most critical industries of our time. The Role They're seeking a Golang Software Engineer to join our backend engineering team. You’ll design, develop, and maintain the core systems that power our energy intelligence platform — from real-time data processing to distributed services that handle millions of … data points daily. What You’ll Do Develop high-performance backend services and APIs using Go (Golang) . Collaborate with data and DevOps teams to deliver scalable, cloud-native solutions. Design and implement reliable microservices that integrate with IoT devices, energy assets, and analytics pipelines. Optimize performance, scalability, and reliability across our systems. Participate in code reviews, architectural … and cloud platforms (AWS, GCP, or Azure). Strong problem-solving skills and attention to performance and reliability. Bonus points for experience in the energy sector , IoT systems , or data engineering . Why Join Shape technology that enables a sustainable energy future. Competitive pay, stock options, and flexible working hours. Collaborative, mission-driven culture with a focus on More ❯

technology that drives sustainability and innovation in one of the most critical industries of our time. The Role They're seeking a Golang Software Engineer to join our backend engineering team. You’ll design, develop, and maintain the core systems that power our energy intelligence platform — from real-time data processing to distributed services that handle millions of … data points daily. What You’ll Do Develop high-performance backend services and APIs using Go (Golang) . Collaborate with data and DevOps teams to deliver scalable, cloud-native solutions. Design and implement reliable microservices that integrate with IoT devices, energy assets, and analytics pipelines. Optimize performance, scalability, and reliability across our systems. Participate in code reviews, architectural … and cloud platforms (AWS, GCP, or Azure). Strong problem-solving skills and attention to performance and reliability. Bonus points for experience in the energy sector , IoT systems , or data engineering . Why Join Shape technology that enables a sustainable energy future. Competitive pay, stock options, and flexible working hours. Collaborative, mission-driven culture with a focus on More ❯

chance to shape the next generation of AI infrastructure. What You’ll Do Design, implement, and optimize LangGraph-based AI workflows and multi-agent systems Integrate LLMs, APIs, and data pipelines into production-ready solutions Build scalable, maintainable AI applications with structured memory, tools, and dynamic reasoning paths Collaborate with cross-functional teams — from data scientists to product … with LangGraph (bonus: contributions to the open-source project) Strong background in Python, LangChain, OpenAI APIs, and LLM architectures Familiarity with vector databases, retrieval-augmented generation (RAG), and prompt engineering Understanding of software design principles, version control (Git), and CI/CD practices Creative problem-solver with a bias toward action and experimentation Nice to Have Experience deploying AI … agents at scale Knowledge of cloud platforms (AWS, GCP, Azure) Background in data engineering, NLP, or ML Ops Why Join Us Work on cutting-edge AI projects with real-world impact Collaborate with a world-class engineering team Flexible remote environment with strong growth potential Competitive salary, equity options, and great benefits If you are interested in More ❯

chance to shape the next generation of AI infrastructure. What You’ll Do Design, implement, and optimize LangGraph-based AI workflows and multi-agent systems Integrate LLMs, APIs, and data pipelines into production-ready solutions Build scalable, maintainable AI applications with structured memory, tools, and dynamic reasoning paths Collaborate with cross-functional teams — from data scientists to product … with LangGraph (bonus: contributions to the open-source project) Strong background in Python, LangChain, OpenAI APIs, and LLM architectures Familiarity with vector databases, retrieval-augmented generation (RAG), and prompt engineering Understanding of software design principles, version control (Git), and CI/CD practices Creative problem-solver with a bias toward action and experimentation Nice to Have Experience deploying AI … agents at scale Knowledge of cloud platforms (AWS, GCP, Azure) Background in data engineering, NLP, or ML Ops Why Join Us Work on cutting-edge AI projects with real-world impact Collaborate with a world-class engineering team Flexible remote environment with strong growth potential Competitive salary, equity options, and great benefits If you are interested in More ❯

chance to shape the next generation of AI infrastructure. What You'll Do Design, implement, and optimize LangGraph-based AI workflows and multi-agent systems Integrate LLMs, APIs, and data pipelines into production-ready solutions Build scalable, maintainable AI applications with structured memory, tools, and dynamic reasoning paths Collaborate with cross-functional teams - from data scientists to product … with LangGraph (bonus: contributions to the open-source project) Strong background in Python, LangChain, OpenAI APIs, and LLM architectures Familiarity with vector databases, retrieval-augmented generation (RAG), and prompt engineering Understanding of software design principles, version control (Git), and CI/CD practices Creative problem-solver with a bias toward action and experimentation Nice to Have Experience deploying AI … agents at scale Knowledge of cloud platforms (AWS, GCP, Azure) Background in data engineering, NLP, or ML Ops Why Join Us Work on cutting-edge AI projects with real-world impact Collaborate with a world-class engineering team Flexible remote environment with strong growth potential Competitive salary, equity options, and great benefits If you are interested in More ❯

chance to shape the next generation of AI infrastructure. What You’ll Do Design, implement, and optimize LangGraph-based AI workflows and multi-agent systems Integrate LLMs, APIs, and data pipelines into production-ready solutions Build scalable, maintainable AI applications with structured memory, tools, and dynamic reasoning paths Collaborate with cross-functional teams — from data scientists to product … with LangGraph (bonus: contributions to the open-source project) Strong background in Python, LangChain, OpenAI APIs, and LLM architectures Familiarity with vector databases, retrieval-augmented generation (RAG), and prompt engineering Understanding of software design principles, version control (Git), and CI/CD practices Creative problem-solver with a bias toward action and experimentation Nice to Have Experience deploying AI … agents at scale Knowledge of cloud platforms (AWS, GCP, Azure) Background in data engineering, NLP, or ML Ops Why Join Us Work on cutting-edge AI projects with real-world impact Collaborate with a world-class engineering team Flexible remote environment with strong growth potential Competitive salary, equity options, and great benefits If you are interested in More ❯

chance to shape the next generation of AI infrastructure. What You’ll Do Design, implement, and optimize LangGraph-based AI workflows and multi-agent systems Integrate LLMs, APIs, and data pipelines into production-ready solutions Build scalable, maintainable AI applications with structured memory, tools, and dynamic reasoning paths Collaborate with cross-functional teams — from data scientists to product … with LangGraph (bonus: contributions to the open-source project) Strong background in Python, LangChain, OpenAI APIs, and LLM architectures Familiarity with vector databases, retrieval-augmented generation (RAG), and prompt engineering Understanding of software design principles, version control (Git), and CI/CD practices Creative problem-solver with a bias toward action and experimentation Nice to Have Experience deploying AI … agents at scale Knowledge of cloud platforms (AWS, GCP, Azure) Background in data engineering, NLP, or ML Ops Why Join Us Work on cutting-edge AI projects with real-world impact Collaborate with a world-class engineering team Flexible remote environment with strong growth potential Competitive salary, equity options, and great benefits If you are interested in More ❯

chance to shape the next generation of AI infrastructure. What You’ll Do Design, implement, and optimize LangGraph-based AI workflows and multi-agent systems Integrate LLMs, APIs, and data pipelines into production-ready solutions Build scalable, maintainable AI applications with structured memory, tools, and dynamic reasoning paths Collaborate with cross-functional teams — from data scientists to product … with LangGraph (bonus: contributions to the open-source project) Strong background in Python, LangChain, OpenAI APIs, and LLM architectures Familiarity with vector databases, retrieval-augmented generation (RAG), and prompt engineering Understanding of software design principles, version control (Git), and CI/CD practices Creative problem-solver with a bias toward action and experimentation Nice to Have Experience deploying AI … agents at scale Knowledge of cloud platforms (AWS, GCP, Azure) Background in data engineering, NLP, or ML Ops Why Join Us Work on cutting-edge AI projects with real-world impact Collaborate with a world-class engineering team Flexible remote environment with strong growth potential Competitive salary, equity options, and great benefits If you are interested in More ❯

SQL Analyst, CDP & CRM Segmentation London based - hybrid working - 3 days on site 3-6 Month contract - Inside IR35 Why this role exists We're standing up a Customer Data Platform (CDP) and need a hands-on SQL analyst to tighten audience segmentation, productionise segmentation logic in the warehouse, and push curated traits into Braze so CRM can operate … campaigns without overloading the data team. What you'll do Own audience & trait definition Translate CRM/Marketing objectives into precise, reusable audience and trait specs Build and maintain warehouse-first segmentation tables/views with clear SLOs and documentation. Ship reliable data to Braze Design pipelines to push curated traits and audiences to Braze , including change-data … Braze counts vs. warehouse truth to ensure high confidence. Unblock campaign operations Create a self-serve library of SQL snippets, views, so CRM can launch campaigns without ad-hoc data requests. Implement suppression logic (deliverability, compliance, frequency caps) and guardrails. Partner across teams Work closely with Data Engineering, CRM, BI and Product to align event/identity More ❯

in the financial services sector? We’re hiring AI Engineers to join a global organisation undergoing major digital transformation. You’ll work on real-world automation, machine learning, and data-driven strategy initiatives that power critical functions across a large-scale financial environment. About the Role As an AI Engineer, you’ll design, build, and deploy AI and automation … solutions that modernise business processes, enhance decision-making, and drive operational efficiency. You’ll collaborate with cross-functional teams—including business strategy, operations, and engineering—to translate complex problems into scalable AI systems. This is a fantastic opportunity for someone who wants to grow in a high-performance environment and solve meaningful challenges within a regulated financial ecosystem. Key … Responsibilities ✅ Develop and deploy machine learning models and automation workflows ✅ Build data pipelines and integrate models into business systems ✅ Analyse financial and operational datasets to uncover insights ✅ Work with stakeholders to translate business needs into AI solutions ✅ Collaborate on AI governance, compliance, and model lifecycle management ✅ Optimise existing models for performance, reliability, and accuracy ✅ Contribute to digital transformation initiatives More ❯