1,626 to 1,650 of 1,805 Data Engineering Jobs

of AI and Analytics for people who make the world a better place. To fulfil and scale our mission, we're looking for a Head of AI Solutions and Data impact who is excited to use their data and modelling skills to make impact. If you're ready to apply your technical expertise to help nonprofits scale and … accelerate their impact, this is your opportunity. We are looking for somebody who can: Work closely with our nonprofit partners to implement AI, analytics and data science solutions in practice Lead and coordinate our network of researchers, companies, and tech contributors to deliver high-impact projects - both hands on and strategically. You must be or have: A technical allrounder … with a track record in implementing analytics models/solutions, projects and data pipelines in practice (business and/or nonprofit sector) including experience deploying prototypes to production and ensuring sustainable use by partners Strong technical background practical, hands on technical skills in AI, analytics, and data engineering - able to move seamlessly from coding and model building 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 ❯

technical and professional experience Experience with containerisation technologies like Docker and orchestration tools like Kubernetes. Familiarity with Infrastructure as Code (IaC) tools such as Terraform or CloudFormation. Knowledge of data engineering and experience with big data technologies like Hadoop, Spark, or Kafka. Experience with CI/CD pipelines and automation, such as using Jenkins, GitLab, or CircleCI. … find out if this is possible in the current working environment. Job Title Technical Lead - Defence Job ID 57548 Location United Kingdom Work arrangement Hybrid Area of work Software Engineering Employment type Regular Position type Professional Up to 80% or 4 days a week (home on weekends - based on project requirements) Company IBM Shift General (daytime More ❯

technical and professional experience Experience with containeriation technologies like Docker and orchestration tools like Kubernetes. Familiarity with Infrastructure as Code (IaC) tools such as Terraform or CloudFormation. Knowledge of data engineering and experience with big data technologies like Hadoop, Spark, or Kafka. Experience with CI/CD pipelines and automation, such as using Jenkins, GitLab, or CircleCI. … current working environment. Job Title Application Architect - Defence Job ID 57518 City/Township/Village State/Province Country United Kingdom Work arrangement Hybrid Area of work Software Engineering Employment type Regular Position type Professional Up to 80% or 4 days a week (home on weekends - based on project requirements) Company Shift General (daytime) Is this role a 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 ❯

and implement machine learning models for financial applications, with a focus on derivatives pricing, risk analytics, and market forecasting. Build scalable ML pipelines to process large volumes of financial data efficiently. Develop deep learning architectures for time series prediction, anomaly detection, and pattern recognition in market data. Optimise model performance using techniques such as hyper-parameter tuning, ensemble methods … risk analytics contexts. Technical Proficiency - Expert in Python and familiar with ML frameworks such as PyTorch, TensorFlow, and JAX. Skilled in using tools like scikit-learn, XGBoost, and LightGBM. Data Engineering & Infrastructure Skills - Comfortable working with big data technologies (Spark, Dask), SQL/NoSQL databases, and cloud platforms (AWS, GCP, Azure). Able to build scalable ML … Works effectively with quants and stakeholders to translate financial requirements into ML solutions. Communicates insights clearly and aligns models with strategic business goals. Innovative & Analytical Mindset - Capable of developing data-driven approaches that complement traditional quantitative models and drive measurable impact in pricing and risk analytics. Job Offer A competitive daily rate up to £1200 per day (inside IR35 More ❯

Architect to our team. Key responsibilities: Understand and document our client's systems and integration landscape and then propose, design & deliver integration solutions. Architect the appropriate business intelligence/data-warehousing approach for integrating from our platform to the client data landscape. Define non-functional requirements (security requirements, scheduling, disaster recovery etc.) and assist with the implementation. Work … Alfa application and diagnosing issues. Collaborate with our functional experts to provide guidance to our clients about product functionality including standard methodology and inquisitive workarounds. Work with clients and engineering to add to and manage enhancements on our product roadmap. Support client teams with overall architecture deployment using existing supported platforms or our cloud hosted services as appropriate. Distil … Kafka, JMS, SQS etc). Experience with market-leading SaaS or iPaaS solutions. Hands-on AWS/Azure/Google Cloud experience. Database experience, including with reporting systems/data warehousing. Performance analysis, with tools like JProfiler/CodeGuru. Knowledge of Containers (Docker). Knowledge of and experience with data engineering concepts, tooling and patterns. What we 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 ❯

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 ❯

SQL Analyst, CDP & CRM Segmentation London based – hybrid working – 3 days on site 3-6 Month contract – Inside IR35 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 capture and dependency … 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 ❯

SQL Analyst, CDP & CRM Segmentation London based – hybrid working – 3 days on site 3-6 Month contract – Inside IR35 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 capture and dependency … 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 ❯

SQL Analyst, CDP & CRM Segmentation London based - hybrid working - 3 days on site 3-6 Month contract - Inside IR35 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 capture and dependency … 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 ❯

SQL Analyst, CDP & CRM Segmentation London based – hybrid working – 3 days on site 3-6 Month contract – Inside IR35 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 capture and dependency … 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 ❯

SQL Analyst, CDP & CRM Segmentation London based – hybrid working – 3 days on site 3-6 Month contract – Inside IR35 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 capture and dependency … 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 ❯

SQL Analyst, CDP & CRM Segmentation London based – hybrid working – 3 days on site 3-6 Month contract – Inside IR35 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 capture and dependency … 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 ❯

core technology crucial to Ki'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 highly iterative, analytical approach. We … and UX designers to review designs, implement new features, and ensure user experience is top level • Explore new ideas and emerging technologies, develop prototypes quickly • Uphold and advance the engineering team’s principles and ways of working • Serve as a domain expert for one or more of Ki’s core technologies • Mentor and coach colleagues in both engineering and business domain subjects Required Skills and Experience: • Experience as a mid-senior level engineer working across a modern web stack • Strong software engineering principles (SOLID, DRY, ER modelling) • Professional experience with a server-side language, ideally JVM based • Professional experience building web-based single page applications, using React/Typescript or an equivalent • Knowledge of front-end More ❯

core technology crucial to Ki'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 highly iterative, analytical approach. We … and UX designers to review designs, implement new features, and ensure user experience is top level • Explore new ideas and emerging technologies, develop prototypes quickly • Uphold and advance the engineering team’s principles and ways of working • Serve as a domain expert for one or more of Ki’s core technologies • Mentor and coach colleagues in both engineering and business domain subjects Required Skills and Experience: • Experience as a mid-senior level engineer working across a modern web stack • Strong software engineering principles (SOLID, DRY, ER modelling) • Professional experience with a server-side language, ideally JVM based • Professional experience building web-based single page applications, using React/Typescript or an equivalent • Knowledge of front-end More ❯

core technology crucial to Ki'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 highly iterative, analytical approach. We … and UX designers to review designs, implement new features, and ensure user experience is top level • Explore new ideas and emerging technologies, develop prototypes quickly • Uphold and advance the engineering team’s principles and ways of working • Serve as a domain expert for one or more of Ki’s core technologies • Mentor and coach colleagues in both engineering and business domain subjects Required Skills and Experience: • Experience as a mid-senior level engineer working across a modern web stack • Strong software engineering principles (SOLID, DRY, ER modelling) • Professional experience with a server-side language, ideally JVM based • Professional experience building web-based single page applications, using React/Typescript or an equivalent • Knowledge of front-end More ❯

core technology crucial to Ki'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 highly iterative, analytical approach. We … and UX designers to review designs, implement new features, and ensure user experience is top level • Explore new ideas and emerging technologies, develop prototypes quickly • Uphold and advance the engineering team’s principles and ways of working • Serve as a domain expert for one or more of Ki’s core technologies • Mentor and coach colleagues in both engineering and business domain subjects Required Skills and Experience: • Experience as a mid-senior level engineer working across a modern web stack • Strong software engineering principles (SOLID, DRY, ER modelling) • Professional experience with a server-side language, ideally JVM based • Professional experience building web-based single page applications, using React/Typescript or an equivalent • Knowledge of front-end More ❯

core technology crucial to Ki'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 highly iterative, analytical approach. We … and UX designers to review designs, implement new features, and ensure user experience is top level • Explore new ideas and emerging technologies, develop prototypes quickly • Uphold and advance the engineering team’s principles and ways of working • Serve as a domain expert for one or more of Ki’s core technologies • Mentor and coach colleagues in both engineering and business domain subjects Required Skills and Experience: • Experience as a mid-senior level engineer working across a modern web stack • Strong software engineering principles (SOLID, DRY, ER modelling) • Professional experience with a server-side language, ideally JVM based • Professional experience building web-based single page applications, using React/Typescript or an equivalent • Knowledge of front-end More ❯