526 to 550 of 792 Remote Data Engineering Jobs

+ bonus + benefits Company Overview Join a leading global trading firm that combines cutting-edge technology with a collaborative culture to achieve excellence. The Cloud Engineering team builds and maintains the core infrastructure supporting data, AI, and trading operations, providing the scalable, secure, and highly automated foundation that drives the firm’s success. You’ll work on … a sophisticated, modern GCP-based tech stack and contribute directly to platforms supporting Trading, Data Engineering, Back Office, and other core technology teams - in a high-impact, high-performance environment. What’s In It For You Global Trading Environment: Collaborate with world-class engineers and data specialists at the forefront of financial technology. Modern Tech Stack: Work … hands-on with GCP, Terraform, Kubernetes, GitLab, and BigQuery. Continuous Growth: Gain exposure to advanced automation, AI-assisted engineering, and scalable cloud architecture. Culture & Collaboration: Flat structure, open communication, and genuine engagement with senior leadership. Benefits Package: Includes private health and dental insurance, generous pension scheme, wellbeing support, and flexible leave. Hybrid Flexibility: Work in a collaborative London office More ❯

+ bonus + benefits Company Overview Join a leading global trading firm that combines cutting-edge technology with a collaborative culture to achieve excellence. The Cloud Engineering team builds and maintains the core infrastructure supporting data, AI, and trading operations, providing the scalable, secure, and highly automated foundation that drives the firm’s success. You’ll work on … a sophisticated, modern GCP-based tech stack and contribute directly to platforms supporting Trading, Data Engineering, Back Office, and other core technology teams - in a high-impact, high-performance environment. What’s In It For You Global Trading Environment: Collaborate with world-class engineers and data specialists at the forefront of financial technology. Modern Tech Stack: Work … hands-on with GCP, Terraform, Kubernetes, GitLab, and BigQuery. Continuous Growth: Gain exposure to advanced automation, AI-assisted engineering, and scalable cloud architecture. Culture & Collaboration: Flat structure, open communication, and genuine engagement with senior leadership. Benefits Package: Includes private health and dental insurance, generous pension scheme, wellbeing support, and flexible leave. Hybrid Flexibility: Work in a collaborative London office More ❯

models) for real-world enterprise use cases. Build and fine-tune LLM-based applications such as: - Chatbots - Document Q&A systems - Report generators - Code assistants - Summarization tools Apply prompt engineering, Retrieval-Augmented Generation (RAG), and context-aware pipelines to enhance model accuracy and relevance. Integrate AI models with enterprise systems, APIs, and data stores using Python, Java, or … through model compression, quantization, and API optimization. Ensure compliance with AI ethics, security, and governance standards. Prepare and curate training datasets (structured/unstructured text, images, code). Apply data preprocessing, tokenization, and embedding generation techniques. Work with vector databases (e.g., Pinecone, Weaviate, FAISS, Chroma) for semantic search and retrieval. Partner with business stakeholders to identify and shape impactful … Experience with cloud platforms (AWS, GCP, Azure) and AI/ML services. Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, Vertex AI, Azure ML). Strong understanding of data engineering, data pipelines, and ETL workflows. Excellent problem-solving, communication, and stakeholder engagement skills. Bachelor's or Master's degree in Computer Science, AI/ML, Data More ❯

models) for real-world enterprise use cases. Build and fine-tune LLM-based applications such as: - Chatbots - Document Q&A systems - Report generators - Code assistants - Summarization tools Apply prompt engineering, Retrieval-Augmented Generation (RAG), and context-aware pipelines to enhance model accuracy and relevance. Integrate AI models with enterprise systems, APIs, and data stores using Python, Java, or … through model compression, quantization, and API optimization. Ensure compliance with AI ethics, security, and governance standards. Prepare and curate training datasets (structured/unstructured text, images, code). Apply data preprocessing, tokenization, and embedding generation techniques. Work with vector databases (e.g., Pinecone, Weaviate, FAISS, Chroma) for semantic search and retrieval. Partner with business stakeholders to identify and shape impactful … Experience with cloud platforms (AWS, GCP, Azure) and AI/ML services. Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, Vertex AI, Azure ML). Strong understanding of data engineering, data pipelines, and ETL workflows. Excellent problem-solving, communication, and stakeholder engagement skills. Bachelor's or Master's degree in Computer Science, AI/ML, Data More ❯

models) for real-world enterprise use cases. Build and fine-tune LLM-based applications such as: - Chatbots - Document Q&A systems - Report generators - Code assistants - Summarization tools Apply prompt engineering, Retrieval-Augmented Generation (RAG), and context-aware pipelines to enhance model accuracy and relevance. Integrate AI models with enterprise systems, APIs, and data stores using Python, Java, or … through model compression, quantization, and API optimization. Ensure compliance with AI ethics, security, and governance standards. Prepare and curate training datasets (structured/unstructured text, images, code). Apply data preprocessing, tokenization, and embedding generation techniques. Work with vector databases (e.g., Pinecone, Weaviate, FAISS, Chroma) for semantic search and retrieval. Partner with business stakeholders to identify and shape impactful … Experience with cloud platforms (AWS, GCP, Azure) and AI/ML services. Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, Vertex AI, Azure ML). Strong understanding of data engineering, data pipelines, and ETL workflows. Excellent problem-solving, communication, and stakeholder engagement skills. Bachelor's or Master's degree in Computer Science, AI/ML, Data More ❯

models) for real-world enterprise use cases. Build and fine-tune LLM-based applications such as: - Chatbots - Document Q&A systems - Report generators - Code assistants - Summarization tools Apply prompt engineering, Retrieval-Augmented Generation (RAG), and context-aware pipelines to enhance model accuracy and relevance. Integrate AI models with enterprise systems, APIs, and data stores using Python, Java, or … through model compression, quantization, and API optimization. Ensure compliance with AI ethics, security, and governance standards. Prepare and curate training datasets (structured/unstructured text, images, code). Apply data preprocessing, tokenization, and embedding generation techniques. Work with vector databases (e.g., Pinecone, Weaviate, FAISS, Chroma) for semantic search and retrieval. Partner with business stakeholders to identify and shape impactful … Experience with cloud platforms (AWS, GCP, Azure) and AI/ML services. Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, Vertex AI, Azure ML). Strong understanding of data engineering, data pipelines, and ETL workflows. Excellent problem-solving, communication, and stakeholder engagement skills. Bachelor's or Master's degree in Computer Science, AI/ML, Data More ❯

models) for real-world enterprise use cases. Build and fine-tune LLM-based applications such as: - Chatbots - Document Q&A systems - Report generators - Code assistants - Summarization tools Apply prompt engineering, Retrieval-Augmented Generation (RAG), and context-aware pipelines to enhance model accuracy and relevance. Integrate AI models with enterprise systems, APIs, and data stores using Python, Java, or … through model compression, quantization, and API optimization. Ensure compliance with AI ethics, security, and governance standards. Prepare and curate training datasets (structured/unstructured text, images, code). Apply data preprocessing, tokenization, and embedding generation techniques. Work with vector databases (e.g., Pinecone, Weaviate, FAISS, Chroma) for semantic search and retrieval. Partner with business stakeholders to identify and shape impactful … Experience with cloud platforms (AWS, GCP, Azure) and AI/ML services. Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, Vertex AI, Azure ML). Strong understanding of data engineering, data pipelines, and ETL workflows. Excellent problem-solving, communication, and stakeholder engagement skills. Bachelor's or Master's degree in Computer Science, AI/ML, Data More ❯

models) for real-world enterprise use cases. Build and fine-tune LLM-based applications such as: - Chatbots - Document Q&A systems - Report generators - Code assistants - Summarization tools Apply prompt engineering, Retrieval-Augmented Generation (RAG), and context-aware pipelines to enhance model accuracy and relevance. Integrate AI models with enterprise systems, APIs, and data stores using Python, Java, or … through model compression, quantization, and API optimization. Ensure compliance with AI ethics, security, and governance standards. Prepare and curate training datasets (structured/unstructured text, images, code). Apply data preprocessing, tokenization, and embedding generation techniques. Work with vector databases (e.g., Pinecone, Weaviate, FAISS, Chroma) for semantic search and retrieval. Partner with business stakeholders to identify and shape impactful … Experience with cloud platforms (AWS, GCP, Azure) and AI/ML services. Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, Vertex AI, Azure ML). Strong understanding of data engineering, data pipelines, and ETL workflows. Excellent problem-solving, communication, and stakeholder engagement skills. Bachelor's or Master's degree in Computer Science, AI/ML, Data More ❯

models) for real-world enterprise use cases. Build and fine-tune LLM-based applications such as: - Chatbots - Document Q&A systems - Report generators - Code assistants - Summarization tools Apply prompt engineering, Retrieval-Augmented Generation (RAG), and context-aware pipelines to enhance model accuracy and relevance. Integrate AI models with enterprise systems, APIs, and data stores using Python, Java, or … through model compression, quantization, and API optimization. Ensure compliance with AI ethics, security, and governance standards. Prepare and curate training datasets (structured/unstructured text, images, code). Apply data preprocessing, tokenization, and embedding generation techniques. Work with vector databases (e.g., Pinecone, Weaviate, FAISS, Chroma) for semantic search and retrieval. Partner with business stakeholders to identify and shape impactful … Experience with cloud platforms (AWS, GCP, Azure) and AI/ML services. Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, Vertex AI, Azure ML). Strong understanding of data engineering, data pipelines, and ETL workflows. Excellent problem-solving, communication, and stakeholder engagement skills. Bachelor's or Master's degree in Computer Science, AI/ML, Data More ❯

Project Description: Hybrid: 2 days per week in the office in London or Edinburgh ; Apply prompt engineering, Retrieval-Augmented Generation (RAG), and context-aware pipelines to enhance model accuracy and relevance. Integrate AI models with enterprise systems, APIs, and data stores using Python, Java, or Node.js. Implement AI/ML pipelines for training, validation, and deployment using tools … and drive continuous improvement. Optimize inference performance and cost through model compression, quantization, and API optimization. Prepare and curate training datasets (structured/unstructured text, images, code). Apply data preprocessing, tokenization, and embedding generation techniques. Work with vector databases (e.g., Support POCs, pilots, and full-scale implementations using agile methodologies. Strong programming skills in Python (preferred), with experience … in Java or Node.js. Familiarity with RAG pipelines, embedding models, and vector databases. Experience with cloud platforms (AWS, GCP, Azure) and AI/ML services. Strong understanding of data engineering, data pipelines, and ETL workflows. Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or related field. We show fairness to More ❯

an AI Engineer on a contract basis. Outside IR35. Hybrid working - London based. Role * The AI Engineer will design, develop, and implement AI and machine learning solutions to support data-driven decision-making and business innovation in pharmaceuticals.* Collaborate with data scientists, data engineers, and business analysts to build scalable AI models for research, development, and commercial … operations.* Develop, test, and optimise machine learning algorithms and predictive models relevant to pharmaceutical data.* Integrate AI models with existing data pipelines, laboratory systems, and business applications.* Ensure the reliability, scalability, and performance of AI systems across multiple platforms.* Maintain clear documentation and contribute to best practices in model governance, regulatory compliance, and MLOps.* Stay abreast of industry trends … Proficient in Python and familiar with key libraries such as TensorFlow, PyTorch, and scikit-learn.* Experience working with cloud platforms such as Azure, AWS, or GCP, ideally within a data engineering or MLOps context.* Strong understanding of data processing, feature engineering, and model evaluation techniques, with experience handling complex scientific datasets.* Excellent problem-solving and analytical More ❯

Senior Data Engineer – Leeds (Hybrid, 2 days onsite) Find out if this opportunity is a good fit by reading all of the information that follows below. Are you ready to take ownership of cutting-edge cloud data platforms and help shape the future of data-driven decision-making? We're looking for a Senior Data Engineer … to design, build, and optimise scalable data systems that power real business impact. This is a fantastic opportunity to join a collaborative, forward-thinking team where your technical expertise will directly influence strategy, architecture, and delivery. What you'll be doing: Design & build scalable, efficient, and secure data pipelines in AWS Own development projects, shaping solutions from concept … to delivery Model and manage data to enable high-quality analytics and insights Collaborate with stakeholders across tech, data science, and business teams Implement best practices for data security, privacy, and compliance Mentor junior engineers, driving technical standards and best practice Support transformation initiatives, introducing Agile methods like SCRUM & Kanban What we're looking for: Proven experience More ❯

Salary: .000 € per year Requirements: What you will need to succeed: PhD or MS in Computer Science, Data Science, Statistics or a related quantitative field with scientific background and with 5+ years of relevant experience Strong expertise in data science, Bayesian modeling, probabilistic programming, and uncertainty quantification Hands-on experience with neural network analysis, deep learning frameworks (e.g. … TensorFlow, PyTorch), and model evaluation Proficiency in Python, R, SQL, and data engineering tools such as Spark or Apache Beam and experience in designing, executing, and analyzing A/B tests Ability to develop and optimize ETL pipelines for large-scale data processing Solid understanding of causal inference, time series forecasting, and statistical modeling Hands-on experience … with cloud computing platforms (e.g., AWS, GCP, Azure) and big data tools Knowledge in natural language processing (NLP), reinforcement learning, and graph analytics is preferable Responsibilities: Position Description As a Senior Data Scientist at Cinemo, you will drive data-driven decision-making through cross-functional collaboration on several topics. This role requires a deep understanding of statistics More ❯

solutions for the advertising technology industry, partnering with premium publishers, platforms, and advertisers worldwide. Our mission is to enhance addressability across digital environments, providing best-in-class solutions for data protection and identification. Backed by industry investors, ID5 operates as a remote-first company with a commitment to innovation, inclusion, and global collaboration. Role Overview: As a Senior Platform … that underpins our identity services. You will work across cloud and bare-metal environments to ensure our systems are stable, reliable, scalable, and observable. Partnering closely with product and data teams, you will help define and implement best practices, design fault-tolerant infrastructure, and develop automation and tooling that empower teams across the business. This role is ideal for … an engineer who thrives in agile, data-centric environments and wants to make a direct impact on the future of digital advertising addressability. Key Responsibilities: Own and evolve ID5’s platform, ensuring stability, reliability, scalability, and observability across services. Participate in technical design discussions and contribute platform expertise to architectural decisions. Participate in the on-call rotation to support More ❯

Robert Half Technology are assisting a large, market-leading media company to recruit a Data Analyst on a contract basis. Hybrid working - London based. Role * The Data Analyst will be responsible for collecting, analysing, and interpreting complex data sets to help drive business decisions and optimise performance.* Collaborate with internal stakeholders to understand data requirements and … provide actionable insights.* Build dashboards and reports to visualise key performance indicators and trends using tools such as Power BI and Tableau.* Clean, transform, and validate data to ensure accuracy and consistency.* Identify patterns and trends in data to support strategic planning and operational improvements.* Work closely with the data engineering team to ensure the smooth … flow of data from multiple sources.* Stay up to date with emerging analytics tools and techniques to continuously improve reporting and analysis processes. Profile * The Data Analyst will have proven experience with data analysis, reporting, and visualisation tools such as Power BI, Excel, SQL, and Tableau.* Strong proficiency in SQL for querying and manipulating large datasets.* Experience More ❯

About Data at Holland & Barrett At Holland & Barrett (H&B), we want to empower everyone to live healthier, happier lives. With over 150 years of experience, we're the largest health & wellness retailer in Europe and a globally trusted brand. Our ambition is to become the world's most trusted wellness partner, chosen by over 100 million people worldwide. … into five verticals: four embedded analytics areas aligned to key business functions, and a central Business Intelligence team focused on cross-functional reporting and performance enablement. Together with our Data Engineering and Data Science colleagues, we make data a strategic lever to achieve H&B's goals. As a Senior Category Analyst in the Core Business … to stakeholders Build dashboards in Metabase to monitor supplier-level performance, agreement effectiveness, and compliance. Create analytics which demonstrate commercial optimisation opportunities & targets. Write clean, efficient SQL to analyse data across trading, rebate, promotional, and category-level metrics. Deliver insights that support negotiations, supplier scorecards, and performance reviews. Own analysis of agreement value, rebate accuracy, and deal profitability. Contribute More ❯

re partnering with an award-winning AI & analytics consultancy working across finance, retail, SaaS, and government sectors. They're expanding their team with an Analytics Engineer passionate about turning data into scalable, real-world solutions. The role: You'll design and maintain robust data pipelines, optimize cloud data warehouses, and enable analytics and modelling teams with reliable … high-quality data. Expect to work across diverse client projects, collaborating with both internal engineers and client tech teams. Key responsibilities: Build and maintain ETL pipelines and cloud data warehouses (AWS, GCP, Snowflake) Develop custom data connectors (e.g. Salesforce, SAP) Automate data cleansing and transformation workflows Support analytics and AI teams with clean, production-ready data About you: 3+ years in Analytics/Data Engineering Strong SQL and database design skills Proficient in Python or R for automation Hands-on with cloud platforms (AWS/GCP/Azure/Snowflake) Passion for data quality, scalability, and collaboration Nice to have: Experience with SaaS products, analytics tooling, or modern data stack tools More ❯

re partnering with an award-winning AI & analytics consultancy working across finance, retail, SaaS, and government sectors. They’re expanding their team with an Analytics Engineer passionate about turning data into scalable, real-world solutions. The role: You’ll design and maintain robust data pipelines, optimize cloud data warehouses, and enable analytics and modelling teams with reliable … high-quality data. Expect to work across diverse client projects, collaborating with both internal engineers and client tech teams. Key responsibilities: Build and maintain ETL pipelines and cloud data warehouses (AWS, GCP, Snowflake) Develop custom data connectors (e.g. Salesforce, SAP) Automate data cleansing and transformation workflows Support analytics and AI teams with clean, production-ready data About you: 3+ years in Analytics/Data Engineering Strong SQL and database design skills Proficient in Python or R for automation Hands-on with cloud platforms (AWS/GCP/Azure/Snowflake) Passion for data quality, scalability, and collaboration Nice to have: Experience with SaaS products, analytics tooling, or modern data stack tools More ❯

re partnering with an award-winning AI & analytics consultancy working across finance, retail, SaaS, and government sectors. They’re expanding their team with an Analytics Engineer passionate about turning data into scalable, real-world solutions. The role: You’ll design and maintain robust data pipelines, optimize cloud data warehouses, and enable analytics and modelling teams with reliable … high-quality data. Expect to work across diverse client projects, collaborating with both internal engineers and client tech teams. Key responsibilities: Build and maintain ETL pipelines and cloud data warehouses (AWS, GCP, Snowflake) Develop custom data connectors (e.g. Salesforce, SAP) Automate data cleansing and transformation workflows Support analytics and AI teams with clean, production-ready data About you: 3+ years in Analytics/Data Engineering Strong SQL and database design skills Proficient in Python or R for automation Hands-on with cloud platforms (AWS/GCP/Azure/Snowflake) Passion for data quality, scalability, and collaboration Nice to have: Experience with SaaS products, analytics tooling, or modern data stack tools More ❯

re partnering with an award-winning AI & analytics consultancy working across finance, retail, SaaS, and government sectors. They’re expanding their team with an Analytics Engineer passionate about turning data into scalable, real-world solutions. The role: You’ll design and maintain robust data pipelines, optimize cloud data warehouses, and enable analytics and modelling teams with reliable … high-quality data. Expect to work across diverse client projects, collaborating with both internal engineers and client tech teams. Key responsibilities: Build and maintain ETL pipelines and cloud data warehouses (AWS, GCP, Snowflake) Develop custom data connectors (e.g. Salesforce, SAP) Automate data cleansing and transformation workflows Support analytics and AI teams with clean, production-ready data About you: 3+ years in Analytics/Data Engineering Strong SQL and database design skills Proficient in Python or R for automation Hands-on with cloud platforms (AWS/GCP/Azure/Snowflake) Passion for data quality, scalability, and collaboration Nice to have: Experience with SaaS products, analytics tooling, or modern data stack tools More ❯

re partnering with an award-winning AI & analytics consultancy working across finance, retail, SaaS, and government sectors. They’re expanding their team with an Analytics Engineer passionate about turning data into scalable, real-world solutions. The role: You’ll design and maintain robust data pipelines, optimize cloud data warehouses, and enable analytics and modelling teams with reliable … high-quality data. Expect to work across diverse client projects, collaborating with both internal engineers and client tech teams. Key responsibilities: Build and maintain ETL pipelines and cloud data warehouses (AWS, GCP, Snowflake) Develop custom data connectors (e.g. Salesforce, SAP) Automate data cleansing and transformation workflows Support analytics and AI teams with clean, production-ready data About you: 3+ years in Analytics/Data Engineering Strong SQL and database design skills Proficient in Python or R for automation Hands-on with cloud platforms (AWS/GCP/Azure/Snowflake) Passion for data quality, scalability, and collaboration Nice to have: Experience with SaaS products, analytics tooling, or modern data stack tools More ❯

re partnering with an award-winning AI & analytics consultancy working across finance, retail, SaaS, and government sectors. They’re expanding their team with an Analytics Engineer passionate about turning data into scalable, real-world solutions. The role: You’ll design and maintain robust data pipelines, optimize cloud data warehouses, and enable analytics and modelling teams with reliable … high-quality data. Expect to work across diverse client projects, collaborating with both internal engineers and client tech teams. Key responsibilities: Build and maintain ETL pipelines and cloud data warehouses (AWS, GCP, Snowflake) Develop custom data connectors (e.g. Salesforce, SAP) Automate data cleansing and transformation workflows Support analytics and AI teams with clean, production-ready data About you: 3+ years in Analytics/Data Engineering Strong SQL and database design skills Proficient in Python or R for automation Hands-on with cloud platforms (AWS/GCP/Azure/Snowflake) Passion for data quality, scalability, and collaboration Nice to have: Experience with SaaS products, analytics tooling, or modern data stack tools More ❯

Senior Data Engineer Salary: £80,000 - £100,000 per annum Location: London hybrid Data Idols are working with a high-growth, product-led tech company on a mission to transform a global consumer category. With a rapidly growing customer base and a digital product used by millions, they are scaling their data team to power the next … phase of growth and innovation. This role sits at the heart of their data platform strategy, perfect for an experienced Senior Data Engineer who wants to build infrastructure that shapes real-time decisions across Product, Growth, and Marketing teams. The Opportunity This is a hands-on, impactful position where you'll have full ownership of the data engineering stack. You'll be responsible for designing and maintaining scalable pipelines and orchestration systems that enable product innovation, campaign optimisation, and personalised user experiences at scale. Working closely with Engineering, Growth, and Product, you'll ensure that data is reliable, unified, and readily accessible for both analytics and experimentation. Skills & Experience Strong expertise with Google More ❯

Senior Data Engineer Salary: £80,000 - £100,000 per annum Location: London hybrid Data Idols are working with a high-growth, product-led tech company on a mission to transform a global consumer category. With a rapidly growing customer base and a digital product used by millions, they are scaling their data team to power the next … phase of growth and innovation. This role sits at the heart of their data platform strategy, perfect for an experienced Senior Data Engineer who wants to build infrastructure that shapes real-time decisions across Product, Growth, and Marketing teams. The Opportunity This is a hands-on, impactful position where you'll have full ownership of the data engineering stack. You'll be responsible for designing and maintaining scalable pipelines and orchestration systems that enable product innovation, campaign optimisation, and personalised user experiences at scale. Working closely with Engineering, Growth, and Product, you'll ensure that data is reliable, unified, and readily accessible for both analytics and experimentation. Skills & Experience Strong expertise with Google More ❯

Senior Data Engineer Salary: £80,000 - £100,000 per annum Location: London hybrid Data Idols are working with a high-growth, product-led tech company on a mission to transform a global consumer category. With a rapidly growing customer base and a digital product used by millions, they are scaling their data team to power the next … phase of growth and innovation. This role sits at the heart of their data platform strategy, perfect for an experienced Senior Data Engineer who wants to build infrastructure that shapes real-time decisions across Product, Growth, and Marketing teams. The Opportunity This is a hands-on, impactful position where you'll have full ownership of the data engineering stack. You'll be responsible for designing and maintaining scalable pipelines and orchestration systems that enable product innovation, campaign optimisation, and personalised user experiences at scale. Working closely with Engineering, Growth, and Product, you'll ensure that data is reliable, unified, and readily accessible for both analytics and experimentation. Skills & Experience Strong expertise with Google More ❯