476 to 500 of 580 Remote Data Engineering Jobs

pension Contract: Full-time, permanent - Open to considering candidates seeking a 4-day work week on a pro rata basis (Fridays off) We are partnering with a specialist data analytics consultancy that has successfully grown into a multi-million-pound business. As they enter an exciting new growth phase, they are seeking a Client Consultancy Lead to help diversify … departments such as DWP, Home Office, MoD, etc. This role is ideal for a commercially minded senior/principal delivery consultant who combines strong technical delivery awareness in digital, data or technology services with excellent relationship-building skills, looking for a less utilisation-heavy role and more of a client relationship lead. The consultancy offers a strong company-wide … Consultancy Lead/Principal Consultant to spearhead growth and open new doors in the UK public sector. The ideal candidate will be a senior consultant who has worked within data, digital transformation, or IT consulting services in central government departments, who is now looking to focus on relationship building and being a trusted advisor to the board. You will More ❯

code quality, and modern development approaches Delivering robust, test-driven software solutions using the latest tools and methodologies NET (C#), SQL Server, SSIS/SSAS, T-SQL Experience of data engineering, ETL/ELT pipelines, Azure services (Data Factory, Synapse, Data Lake) Exposure with React/Angular/TypeScript Knowledge of CI/CD and DevOps More ❯

pension Contract: Full-time, permanent - Open to considering candidates seeking a 4-day work week on a pro rata basis (Fridays off) We are partnering with a specialist data analytics consultancy that has successfully grown into a multi-million-pound business. As they enter an exciting new growth phase, they are seeking a Client Consultancy Lead to help diversify … departments such as DWP, Home Office, MoD, etc. This role is ideal for a commercially minded senior/principal delivery consultant who combines strong technical delivery awareness in digital, data or technology services with excellent relationship-building skills, looking for a less utilisation-heavy role and more of a client relationship lead. The consultancy offers a strong company-wide … Consultancy Lead/Principal Consultant to spearhead growth and open new doors in the UK public sector. The ideal candidate will be a senior consultant who has worked within data, digital transformation, or IT consulting services in central government departments, who is now looking to focus on relationship building and being a trusted advisor to the board. This role More ❯

from top-tier investors, including Accel, Nvidia, Kleiner Perkins, Google and top founders and operators including Stripe, Datadog, Miro, Webflow, and Facebook. What you'll do at Synthesia: The Data team manages the complete lifecycle of data for researchers - from sourcing and large-scale processing to delivering datasets that power our models. Data sits at the heart … of our Research efforts and enables all other teams. As part of the Data team, you’ll work with over a million hours of video and audio data. This role exists at the intersection of applied research, data engineering, and ML infrastructure rather than being a traditional research position . You’ll build the world’s best … human-centric data lake by collaborating closely with our model training teams. By understanding their requirements, you’ll extract new features and annotations that elevate our datasets. You should be passionate about enhancing model performance through high-quality, accurate datasets. Our infrastructure and pipelines are in great shape, and this role provides room to not only enhance them but More ❯

across healthcare, mobility, and retail, turning cutting-edge machine learning into production-ready solutions that impact millions. You’ll work end-to-end on model development and deployment, from data pipelines and experimentation to production and monitoring, shaping how AI moves from research to real-world use. What You’ll Do Design, implement, and optimise ML models for large … scale behavioural and temporal data Build and maintain robust, cloud-based data and model pipelines Deploy, monitor, and iterate on production ML systems (forecasting, classification, behavioural modelling) Collaborate with data scientists, engineers, and product teams to deliver scalable, explainable AI solutions Contribute to MLOps best practices, experimentation frameworks, and model governance What You Bring Degree in Computer … Science, Engineering, or related technical field 2+ years’ experience in applied ML, data engineering, or AI systems development Strong skills in Python (pandas, scikit-learn, PyTorch/TensorFlow) and SQL Experience with cloud platforms and modern ML infrastructure (e.g. Databricks, MLflow, Docker, CI/CD) A practical mindset, curious, experimental, and focused on real-world delivery Why More ❯

across healthcare, mobility, and retail, turning cutting-edge machine learning into production-ready solutions that impact millions. You’ll work end-to-end on model development and deployment, from data pipelines and experimentation to production and monitoring, shaping how AI moves from research to real-world use. What You’ll Do Design, implement, and optimise ML models for large … scale behavioural and temporal data Build and maintain robust, cloud-based data and model pipelines Deploy, monitor, and iterate on production ML systems (forecasting, classification, behavioural modelling) Collaborate with data scientists, engineers, and product teams to deliver scalable, explainable AI solutions Contribute to MLOps best practices, experimentation frameworks, and model governance What You Bring Degree in Computer … Science, Engineering, or related technical field 2+ years’ experience in applied ML, data engineering, or AI systems development Strong skills in Python (pandas, scikit-learn, PyTorch/TensorFlow) and SQL Experience with cloud platforms and modern ML infrastructure (e.g. Databricks, MLflow, Docker, CI/CD) A practical mindset, curious, experimental, and focused on real-world delivery Why More ❯

across healthcare, mobility, and retail, turning cutting-edge machine learning into production-ready solutions that impact millions. You’ll work end-to-end on model development and deployment, from data pipelines and experimentation to production and monitoring, shaping how AI moves from research to real-world use. What You’ll Do Design, implement, and optimise ML models for large … scale behavioural and temporal data Build and maintain robust, cloud-based data and model pipelines Deploy, monitor, and iterate on production ML systems (forecasting, classification, behavioural modelling) Collaborate with data scientists, engineers, and product teams to deliver scalable, explainable AI solutions Contribute to MLOps best practices, experimentation frameworks, and model governance What You Bring Degree in Computer … Science, Engineering, or related technical field 2+ years’ experience in applied ML, data engineering, or AI systems development Strong skills in Python (pandas, scikit-learn, PyTorch/TensorFlow) and SQL Experience with cloud platforms and modern ML infrastructure (e.g. Databricks, MLflow, Docker, CI/CD) A practical mindset, curious, experimental, and focused on real-world delivery Why More ❯

difference across healthcare, mobility, and retail, turning cutting-edge machine learning into production-ready solutions that impact millions. Youll work end-to-end on model development and deployment, from data pipelines and experimentation to production and monitoring, shaping how AI moves from research to real-world use. Design, implement, and optimise ML models for large-scale behavioural and temporal … data Build and maintain robust, cloud-based data and model pipelines Deploy, monitor, and iterate on production ML systems (forecasting, classification, behavioural modelling) Collaborate with data scientists, engineers, and product teams to deliver scalable, explainable AI solutions Degree in Computer Science, Engineering, or related technical field 2+ years experience in applied ML, data engineering More ❯

/CD pipelines using GitHub Actions. You will be part of a team responsible for designing, implementing, and maintaining scalable, secure, and cost-effective cloud infrastructure to support our data and analytics platform. This role requires a strong background in cloud infrastructure automation, platform governance, and enterprise-grade security and compliance in Azure. Key Responsibilities: Design, build, and manage … controls across cloud resources. Monitor and manage cloud costs using Azure Cost Management, ensuring resources are optimized and within budget. Architect and support Databricks workspaces, focusing on Unity Catalog, data access control, workspace deployment, and platform reliability. Collaborate with data engineering and analytics teams to ensure Databricks is performant, secure, and well-integrated with enterprise systems. Create … automation. Strong scripting skills (e.g., Python, PowerShell, Bash) and comfort working with APIs and automation tools. Excellent problem-solving and communication skills; ability to work cross-functionally with security, data, and DevOps teams. Nice to Have: Experience with multi-cloud or hybrid cloud architectures. Knowledge of Infrastructure as Code testing frameworks (e.g., Terratest, Checkov). Familiarity with Azure DevOps More ❯

ensuring we deliver real value to our users, partners, and communities. Provide visionary leadership while staying close to the teams to enable strong impact. Define and execute a clear, data-driven product and technology strategy aligned with our business goals Lead and inspire a cross-functional organisation of 40+ people across Engineering, Product Management, Design, Data & AI … social/community products, or marketplaces with millions of active users Deep expertise in mobile-first UX and understanding of local network dynamics Strong technical background in software architecture, data platforms, and AI applications Track record of leading Product Discovery and Delivery under one vision Inspirational leadership style that empowers cross-functional teams and attracts top talent Excellent communication … about making AI adoption part of the company DNA Deep expertise in advertising technology stacks Proven track record in systems reliability, safety, privacy, and compliance (including GDPR automation and data residency) Experience in advanced data engineering, search & recommendation systems, and content moderation at scale HOW WE'LL MEASURE YOUR SUCCESS Growth in active users and community engagement More ❯

Join Redslim as a Python Full Stack Engineer! At Redslim , were on a mission to harness the power of data to drive meaningful impact and positive change. We partner with some of the worlds most iconic consumer brands to turn complex datasets into transformative business intelligence solutions. Our commitment goes beyond innovation we care deeply about diversity, inclusion, and … wellbeing of our people. Now, were looking for a skilled, curious, and collaborative Python Full Stack Engineer to join our TechnologyProduct team and help shape the future of scalable, data-driven systems. Work location On-site, hybrid, or remote in Spain, France, Portugal or the UK flexibility is at the heart of how we work. What youll do Youll … functional teams to design, build, and maintain robust web applications, APIs, and intuitive React-based frontends. Your expertise will help us craft seamless digital experiences while driving forward our data engineering and cloud-based capabilities. Your key responsibilities will include: Design, develop, and maintain web applications and APIs using Python, dotnet and React. Leveraging the capabilities of LLMs More ❯

Join Redslim as a Python Full Stack Engineer! At Redslim , we’re on a mission to harness the power of data to drive meaningful impact and positive change. We partner with some of the world’s most iconic consumer brands to turn complex datasets into transformative business intelligence solutions. Our commitment goes beyond innovation — we care deeply about diversity … our people. Now, we’re looking for a skilled, curious, and collaborative Python Full Stack Engineer to join our Technology–Product team and help shape the future of scalable, data-driven systems. Work location On-site, hybrid, or remote in Spain, France, Portugal or the UK — flexibility is at the heart of how we work. What you’ll do … functional teams to design, build, and maintain robust web applications, APIs, and intuitive React-based frontends. Your expertise will help us craft seamless digital experiences while driving forward our data engineering and cloud-based capabilities. Your key responsibilities will include: Design, develop, and maintain web applications and APIs using Python, dotnet and React. Leveraging the capabilities of LLMs More ❯

and operating large scale systems on AWS? You could be progressing your career as a Technical Architect at a growing tech company that provide a range of IoT and Data solutions for the Emergency Services. As the Technical Architect you'll take ownership and drive the end-to-end architecture for the core insights platform, across infrastructure, data, security and application layers. You'll design and implement scalable, cost effective AWS architectures that support high-throughput, mission critical IoT and data workloads, governing platform standards, documentation and best practices across multiple engineering teams. Your role will also encompass leading the definition and enforcement of infrastructure as code (IaC), observability and automation frameworks and integration of … streaming and messaging solutions such as Kafka, SQS or SNS for data ingestion and event-driven processing. You'll collaborate with development, DevOps and data engineering on various initiatives and champion security and compliance within the platform to adhere to GDPR, ISO27001 and data governance frameworks. *Location/WFH:* There's a remote first policy, you More ❯

making process, with the founders having had first hand experience of the lengthiness and challenges of deal processes in the past. Their stack spans across back end, front end, data and crucially AI. This is a great opportunity for an entrepreneurial software engineer who wants to play a part in shaping the technical vision of this business and work … on their product from an early stage. What you'll work on: Backend APIs (Python/FastAPI): Build and maintain secure, high-performance services that drive AI features and data access at scale. RAG & vector search: Design and improve retrieval pipelines (embeddings, chunking, hybrid search, ranking, feedback loops), owning schema design, latency, and relevance across vector databases. LLM integration … Connect and orchestrate large language models (OpenAI, Bedrock, etc.), manage prompts, tools, safeguards, and evaluation. Data pipelines: Ingest, clean, and transform structured and unstructured data; design efficient schemas (Postgres/NoSQL) for search and analytics. Frontend (React/Next.js): Deliver user-friendly, performant UIs that make AI-powered features (search, filters, explanations, citations) clear and accessible. Architecture: Shape More ❯

making process, with the founders having had first hand experience of the lengthiness and challenges of deal processes in the past. Their stack spans across back end, front end, data and crucially AI. This is a great opportunity for an entrepreneurial software engineer who wants to play a part in shaping the technical vision of this business and work … on their product from an early stage. What you'll work on: Backend APIs (Python/FastAPI): Build and maintain secure, high-performance services that drive AI features and data access at scale. RAG & vector search: Design and improve retrieval pipelines (embeddings, chunking, hybrid search, ranking, feedback loops), owning schema design, latency, and relevance across vector databases. LLM integration … Connect and orchestrate large language models (OpenAI, Bedrock, etc.), manage prompts, tools, safeguards, and evaluation. Data pipelines: Ingest, clean, and transform structured and unstructured data; design efficient schemas (Postgres/NoSQL) for search and analytics. Frontend (React/Next.js): Deliver user-friendly, performant UIs that make AI-powered features (search, filters, explanations, citations) clear and accessible. Architecture: Shape More ❯

making process, with the founders having had first hand experience of the lengthiness and challenges of deal processes in the past. Their stack spans across back end, front end, data and crucially AI. This is a great opportunity for an entrepreneurial software engineer who wants to play a part in shaping the technical vision of this business and work … on their product from an early stage. What you'll work on: Backend APIs (Python/FastAPI): Build and maintain secure, high-performance services that drive AI features and data access at scale. RAG & vector search: Design and improve retrieval pipelines (embeddings, chunking, hybrid search, ranking, feedback loops), owning schema design, latency, and relevance across vector databases. LLM integration … Connect and orchestrate large language models (OpenAI, Bedrock, etc.), manage prompts, tools, safeguards, and evaluation. Data pipelines: Ingest, clean, and transform structured and unstructured data; design efficient schemas (Postgres/NoSQL) for search and analytics. Frontend (React/Next.js): Deliver user-friendly, performant UIs that make AI-powered features (search, filters, explanations, citations) clear and accessible. Architecture: Shape More ❯

making process, with the founders having had first hand experience of the lengthiness and challenges of deal processes in the past. Their stack spans across back end, front end, data and crucially AI. This is a great opportunity for an entrepreneurial software engineer who wants to play a part in shaping the technical vision of this business and work … on their product from an early stage. What you'll work on: Backend APIs (Python/FastAPI): Build and maintain secure, high-performance services that drive AI features and data access at scale. RAG & vector search: Design and improve retrieval pipelines (embeddings, chunking, hybrid search, ranking, feedback loops), owning schema design, latency, and relevance across vector databases. LLM integration … Connect and orchestrate large language models (OpenAI, Bedrock, etc.), manage prompts, tools, safeguards, and evaluation. Data pipelines: Ingest, clean, and transform structured and unstructured data; design efficient schemas (Postgres/NoSQL) for search and analytics. Frontend (React/Next.js): Deliver user-friendly, performant UIs that make AI-powered features (search, filters, explanations, citations) clear and accessible. Architecture: Shape More ❯

making process, with the founders having had first hand experience of the lengthiness and challenges of deal processes in the past. Their stack spans across back end, front end, data and crucially AI. This is a great opportunity for an entrepreneurial software engineer who wants to play a part in shaping the technical vision of this business and work … on their product from an early stage. What you'll work on: Backend APIs (Python/FastAPI): Build and maintain secure, high-performance services that drive AI features and data access at scale. RAG & vector search: Design and improve retrieval pipelines (embeddings, chunking, hybrid search, ranking, feedback loops), owning schema design, latency, and relevance across vector databases. LLM integration … Connect and orchestrate large language models (OpenAI, Bedrock, etc.), manage prompts, tools, safeguards, and evaluation. Data pipelines: Ingest, clean, and transform structured and unstructured data; design efficient schemas (Postgres/NoSQL) for search and analytics. Frontend (React/Next.js): Deliver user-friendly, performant UIs that make AI-powered features (search, filters, explanations, citations) clear and accessible. Architecture: Shape More ❯

making process, with the founders having had first hand experience of the lengthiness and challenges of deal processes in the past. Their stack spans across back end, front end, data and crucially AI. This is a great opportunity for an entrepreneurial software engineer who wants to play a part in shaping the technical vision of this business and work … on their product from an early stage. What you'll work on: Backend APIs (Python/FastAPI): Build and maintain secure, high-performance services that drive AI features and data access at scale. RAG & vector search: Design and improve retrieval pipelines (embeddings, chunking, hybrid search, ranking, feedback loops), owning schema design, latency, and relevance across vector databases. LLM integration … Connect and orchestrate large language models (OpenAI, Bedrock, etc.), manage prompts, tools, safeguards, and evaluation. Data pipelines: Ingest, clean, and transform structured and unstructured data; design efficient schemas (Postgres/NoSQL) for search and analytics. Frontend (React/Next.js): Deliver user-friendly, performant UIs that make AI-powered features (search, filters, explanations, citations) clear and accessible. Architecture: Shape More ❯

making process, with the founders having had first hand experience of the lengthiness and challenges of deal processes in the past. Their stack spans across back end, front end, data and crucially AI. This is a great opportunity for an entrepreneurial software engineer who wants to play a part in shaping the technical vision of this business and work … on their product from an early stage. What you'll work on: Backend APIs (Python/FastAPI): Build and maintain secure, high-performance services that drive AI features and data access at scale. RAG & vector search: Design and improve retrieval pipelines (embeddings, chunking, hybrid search, ranking, feedback loops), owning schema design, latency, and relevance across vector databases. LLM integration … Connect and orchestrate large language models (OpenAI, Bedrock, etc.), manage prompts, tools, safeguards, and evaluation. Data pipelines: Ingest, clean, and transform structured and unstructured data; design efficient schemas (Postgres/NoSQL) for search and analytics. Frontend (React/Next.js): Deliver user-friendly, performant UIs that make AI-powered features (search, filters, explanations, citations) clear and accessible. Architecture: Shape More ❯

making process, with the founders having had first hand experience of the lengthiness and challenges of deal processes in the past. Their stack spans across back end, front end, data and crucially AI. This is a great opportunity for an entrepreneurial software engineer who wants to play a part in shaping the technical vision of this business and work … on their product from an early stage. What you'll work on: Backend APIs (Python/FastAPI): Build and maintain secure, high-performance services that drive AI features and data access at scale. RAG & vector search: Design and improve retrieval pipelines (embeddings, chunking, hybrid search, ranking, feedback loops), owning schema design, latency, and relevance across vector databases. LLM integration … Connect and orchestrate large language models (OpenAI, Bedrock, etc.), manage prompts, tools, safeguards, and evaluation. Data pipelines: Ingest, clean, and transform structured and unstructured data; design efficient schemas (Postgres/NoSQL) for search and analytics. Frontend (React/Next.js): Deliver user-friendly, performant UIs that make AI-powered features (search, filters, explanations, citations) clear and accessible. Architecture: Shape More ❯

making process, with the founders having had first hand experience of the lengthiness and challenges of deal processes in the past. Their stack spans across back end, front end, data and crucially AI. This is a great opportunity for an entrepreneurial software engineer who wants to play a part in shaping the technical vision of this business and work … on their product from an early stage. What you'll work on: Backend APIs (Python/FastAPI): Build and maintain secure, high-performance services that drive AI features and data access at scale. RAG & vector search: Design and improve retrieval pipelines (embeddings, chunking, hybrid search, ranking, feedback loops), owning schema design, latency, and relevance across vector databases. LLM integration … Connect and orchestrate large language models (OpenAI, Bedrock, etc.), manage prompts, tools, safeguards, and evaluation. Data pipelines: Ingest, clean, and transform structured and unstructured data; design efficient schemas (Postgres/NoSQL) for search and analytics. Frontend (React/Next.js): Deliver user-friendly, performant UIs that make AI-powered features (search, filters, explanations, citations) clear and accessible. Architecture: Shape More ❯

making process, with the founders having had first hand experience of the lengthiness and challenges of deal processes in the past. Their stack spans across back end, front end, data and crucially AI. This is a great opportunity for an entrepreneurial software engineer who wants to play a part in shaping the technical vision of this business and work … on their product from an early stage. What you'll work on: Backend APIs (Python/FastAPI): Build and maintain secure, high-performance services that drive AI features and data access at scale. RAG & vector search: Design and improve retrieval pipelines (embeddings, chunking, hybrid search, ranking, feedback loops), owning schema design, latency, and relevance across vector databases. LLM integration … Connect and orchestrate large language models (OpenAI, Bedrock, etc.), manage prompts, tools, safeguards, and evaluation. Data pipelines: Ingest, clean, and transform structured and unstructured data; design efficient schemas (Postgres/NoSQL) for search and analytics. Frontend (React/Next.js): Deliver user-friendly, performant UIs that make AI-powered features (search, filters, explanations, citations) clear and accessible. Architecture: Shape More ❯

making process, with the founders having had first hand experience of the lengthiness and challenges of deal processes in the past. Their stack spans across back end, front end, data and crucially AI. This is a great opportunity for an entrepreneurial software engineer who wants to play a part in shaping the technical vision of this business and work … on their product from an early stage. What you'll work on: Backend APIs (Python/FastAPI): Build and maintain secure, high-performance services that drive AI features and data access at scale. RAG & vector search: Design and improve retrieval pipelines (embeddings, chunking, hybrid search, ranking, feedback loops), owning schema design, latency, and relevance across vector databases. LLM integration … Connect and orchestrate large language models (OpenAI, Bedrock, etc.), manage prompts, tools, safeguards, and evaluation. Data pipelines: Ingest, clean, and transform structured and unstructured data; design efficient schemas (Postgres/NoSQL) for search and analytics. Frontend (React/Next.js): Deliver user-friendly, performant UIs that make AI-powered features (search, filters, explanations, citations) clear and accessible. Architecture: Shape More ❯

making process, with the founders having had first hand experience of the lengthiness and challenges of deal processes in the past. Their stack spans across back end, front end, data and crucially AI. This is a great opportunity for an entrepreneurial software engineer who wants to play a part in shaping the technical vision of this business and work … on their product from an early stage. What you'll work on: Backend APIs (Python/FastAPI): Build and maintain secure, high-performance services that drive AI features and data access at scale. RAG & vector search: Design and improve retrieval pipelines (embeddings, chunking, hybrid search, ranking, feedback loops), owning schema design, latency, and relevance across vector databases. LLM integration … Connect and orchestrate large language models (OpenAI, Bedrock, etc.), manage prompts, tools, safeguards, and evaluation. Data pipelines: Ingest, clean, and transform structured and unstructured data; design efficient schemas (Postgres/NoSQL) for search and analytics. Frontend (React/Next.js): Deliver user-friendly, performant UIs that make AI-powered features (search, filters, explanations, citations) clear and accessible. Architecture: Shape More ❯