576 to 600 of 622 Remote Data Engineering Jobs

its Finance Technology team. This group builds and maintains the systems that power financial control, treasury, and tax functions across the business. The role offers exposure to distributed systems, data engineering, and high-throughput platforms, with the chance to work on projects ranging from payments automation and expense management to liquidity modelling and regulatory reporting. Key Responsibilities Design … and reporting tools for regulatory requirements Work across the full SDLC, from requirements gathering to deployment and support What We’re Looking For 3–6 years of professional software engineering experience Strong academic grounding in algorithms and data structures Experience with concurrent programming and asynchronous systems Familiarity with distributed systems, microservices-based architectures Commitment to clean, disciplined software … engineering practices Proficiency in Go, JavaScript, Java, C++ or other similar statically typed languages Why Apply? Technically challenging projects in a highly collaborative, engineering-led environment Greenfield and business-critical development with rapid release cycles Flat structure with autonomy and scope for input at all levels Excellent benefits, including healthcare, pension, and daily perks Discretion is guaranteed – your More ❯

its Finance Technology team. This group builds and maintains the systems that power financial control, treasury, and tax functions across the business. The role offers exposure to distributed systems, data engineering, and high-throughput platforms, with the chance to work on projects ranging from payments automation and expense management to liquidity modelling and regulatory reporting. Key Responsibilities Design … and reporting tools for regulatory requirements Work across the full SDLC, from requirements gathering to deployment and support What We’re Looking For 3–6 years of professional software engineering experience Strong academic grounding in algorithms and data structures Experience with concurrent programming and asynchronous systems Familiarity with distributed systems, microservices-based architectures Commitment to clean, disciplined software … engineering practices Proficiency in Go, JavaScript, Java, C++ or other similar statically typed languages Why Apply? Technically challenging projects in a highly collaborative, engineering-led environment Greenfield and business-critical development with rapid release cycles Flat structure with autonomy and scope for input at all levels Excellent benefits, including healthcare, pension, and daily perks Discretion is guaranteed – your More ❯

its Finance Technology team. This group builds and maintains the systems that power financial control, treasury, and tax functions across the business. The role offers exposure to distributed systems, data engineering, and high-throughput platforms, with the chance to work on projects ranging from payments automation and expense management to liquidity modelling and regulatory reporting. Key Responsibilities Design … and reporting tools for regulatory requirements Work across the full SDLC, from requirements gathering to deployment and support What We’re Looking For 3–6 years of professional software engineering experience Strong academic grounding in algorithms and data structures Experience with concurrent programming and asynchronous systems Familiarity with distributed systems, microservices-based architectures Commitment to clean, disciplined software … engineering practices Proficiency in Go, JavaScript, Java, C++ or other similar statically typed languages Why Apply? Technically challenging projects in a highly collaborative, engineering-led environment Greenfield and business-critical development with rapid release cycles Flat structure with autonomy and scope for input at all levels Excellent benefits, including healthcare, pension, and daily perks Discretion is guaranteed – your More ❯

translate them into technical requirements Research emerging AI technologies to propose the most effective solutions Design scalable, practical AI architectures to solve complex client problems Collaborate with engineers and data specialists to turn concepts into reality Produce technical documentation and present solutions to both technical and non-technical stakeholders Keep pace with new developments across AI, ML, and automation … Required Skills and Experience Strong understanding of AI and machine learning technologies, including LLMs, NLP, and data pipelines Proven experience in solution design, technical consulting, or pre-sales Ability to communicate complex concepts clearly to varied audiences Familiarity with cloud AI environments such as Azure AI, AWS Sagemaker, or GCP Vertex A natural problem solver with curiosity for cutting … edge tools and frameworks Desirable Experience Experience delivering AI or ML solutions in a commercial or consultancy setting Knowledge of data engineering, MLOps, or automation workflows Previous experience engaging directly with clients and senior stakeholders Why Join This is an opportunity to join a fast-scaling AI business at a defining stage of its growth. You’ll be More ❯

translate them into technical requirements Research emerging AI technologies to propose the most effective solutions Design scalable, practical AI architectures to solve complex client problems Collaborate with engineers and data specialists to turn concepts into reality Produce technical documentation and present solutions to both technical and non-technical stakeholders Keep pace with new developments across AI, ML, and automation … Required Skills and Experience Strong understanding of AI and machine learning technologies, including LLMs, NLP, and data pipelines Proven experience in solution design, technical consulting, or pre-sales Ability to communicate complex concepts clearly to varied audiences Familiarity with cloud AI environments such as Azure AI, AWS Sagemaker, or GCP Vertex A natural problem solver with curiosity for cutting … edge tools and frameworks Desirable Experience Experience delivering AI or ML solutions in a commercial or consultancy setting Knowledge of data engineering, MLOps, or automation workflows Previous experience engaging directly with clients and senior stakeholders Why Join This is an opportunity to join a fast-scaling AI business at a defining stage of its growth. You’ll be More ❯

on best practices for GenAI, automation, and infrastructure Own technical risk management and ensure delivery success Proficiency in Terraform, PowerShell, Bash, or Python Expertise in generative AI, including prompt engineering and model optimisation (e.g. Deep knowledge of AI/ML deployment in secure, scalable environments MSc or PhD in Computer Science, AI, or Engineering Advanced certifications in AI …/ML, cloud, or data engineering More ❯

Software Engineer AI & Data Systems £40,000 to £90,000 (DOE) + performance bonus Permanent Hybrid UK nationals only | Must hold SC clearance About the Role An innovative UK technology company is developing a next-generation AI platform designed for defence and health applications. Were looking for a Software Engineer who thrives on learning quickly, solving complex technical problems … What Youll Work On Design, build, and scale intelligent systems and microservices Develop AI-driven capabilities (e.g. LLMs, retrieval-augmented generation (RAG), and AI agents) Build and maintain APIs, data pipelines, and backend components (primarily Python, FastAPI, or Flask) Engineer robust, containerised architectures using Docker and Kubernetes Work with ElasticSearch, Weaviate, Pinecone, and other vector databases Help deliver high … on-premise systems Passionate programmer with a problem-solving mindset Quick learner who enjoys exploring new technologies Familiarity with microservice architectures and containerisation (Docker/K8s) Experience in AI, data engineering, or distributed systems Flexible, collaborative, and adaptable, comfortable wearing many hats in an SME environment Security Check (SC) cleared, British nationals only (no dual nationality) Why Join More ❯

AI Software Engineering Manager - Exclusive About the Role: This is a fantastic opportunity for an experienced Development Manager to lead a growing team of engineers delivering cutting-edge AI and automation initiatives. You'll oversee the full development lifecycle from strategy and architecture through to deployment and optimisation, ensuring high technical standards, agile delivery, and measurable business impact. The … ideal candidate will combine strong leadership with hands-on technical knowledge, particularly in modern cloud-native engineering and AI/ML integration. You'll work closely with senior stakeholders to define priorities, empower teams, and drive scalable solutions that push the boundaries of what's possible. Key Responsibilities: Lead, mentor, and develop a team of Software Engineers and AI … an AI development roadmap aligned with business strategy. Ensure best practices in coding, architecture, testing, and DevOps. Oversee end-to-end delivery across multiple agile squads. Collaborate with Product, Data, and Infrastructure teams to integrate AI-driven features and systems. Foster a culture of continuous learning, technical excellence, and innovation. Track performance metrics, ensuring delivery efficiency and product quality. More ❯

making a positive impact - they pledge to be a net-zero CO2 company and donate 1% of revenues to social impact causes The role: As the Head of Software Engineering, you will strategically & operationally lead the software engineering team and thereby actively shape the technology, product, and team. You will be reporting directly to the co-Founder and … CTO. Key Responsibilities: Coach and manage existing software engineering team Closely collaborate with the Product and Deployment Team to define product features and priorities Define systems and processes to execute product roadmap Lead planning, execution, and timely delivery of the product Oversee operational aspects of the software development process to ensure effective workflows across developers Manage and conduct code … enforce testing best practices for the software Recruit top talent for growing the software development team Key Requirements: Proven track record in leadership roles in software development in B2B, data-centric SaaS companies from Seed to Series A+ Leadership experience in leading team of engineers in an early-stage startup and appreciation on rapidly evolving requirements Extensive experience in More ❯

and reporting excellence across our Salesforce platform. This role bridges business users, RevOps, and technical teams — ensuring Salesforce delivers maximum value through user enablement, insightful reporting, and collaboration with data engineering. Key Responsibilities Develop and deliver Salesforce enablement materials, including guides, video tutorials, and training sessions for end users. Provide hypercare support following new releases or functionality rollouts. Create … and maintain Salesforce reports, dashboards, and list views for RevOps and business stakeholders. Gather and document business requirements for data and reporting needs. Collaborate with the data engineering team when advanced reporting or integrations are needed beyond Salesforce's native capabilities. Act as a Salesforce champion , promoting best practices and ensuring high data quality and adoption. More ❯

Company description: SGB Job description: Data Engineer Location: Milton Keynes/Hybrid Working Hours: Monday to Friday (8.45am – 5pm) Salary: From £60,000 plus excellent benefits package, including: • Hybrid working• Eligibility to annual bonus scheme• Access to a fantastic loan car scheme • 25 days annual leave plus bank holidays • Competitive pension• 4x basic salary life assurance We have an … exciting opportunity for a Data Engineer to join our IT team. You will be responsible for designing and developing the data warehouse, designing and building data integrations and identifying and integrating new sources of data into the data warehouse as required by the business. You will also work as part of the wider Business Intelligence … team to advise on the best technical approach to deliver what the business is asking for. Key Responsibilities: • Manage and develop the data warehouse environment.• Champion and lead others to deliver technical direction as required.• Develop well-structured systems which utilise efficient code, following our in-house coding standards.• Effective and meaningful documentation of systems to ensure ease of More ❯

AI-driven solutions with vector databases such as DataStax Astra DB, Weaviate, or FAISS. Implement secure API authentication (OAuth2, JWT) and manage access controls. Collaborate with AI/ML, data engineering, and DevOps teams to ensure seamless system integration. Monitor API performance and AI search efficiency, implementing optimizations where necessary. Stay up to date with advancements in LLM More ❯

Master Data Management (MDM) Delivery Manager/Engagement Lead Contract: 6 months (initial) Rate: Competitive IR35: Outside Location: London/Hybrid Interview: ASAP About the Role Join a global business undergoing significant transformation . We're seeking a proactive Delivery Manager/Engagement Lead to drive a Master Data Management (MDM) initiative internally. You'll work in a … delivering the technical Profisee implementation. Key Responsibilities Lead project planning, governance, and stakeholder communication. Act as the internal liaison between business teams and external Profisee consultants. Ensure alignment with data strategy and business objectives. Operate with autonomy and a proactive approach in a dynamic setting. Skills & Experience Proven experience managing complex MDM projects . Strong stakeholder engagement and communication … skills. Familiarity with Profisee (conceptual understanding) OR other leading MDM solutions. SQL and Python skills for working in a data engineering environment. Ability to thrive in a fast-paced, transformational environment . More ❯

lead a high-performing team in designing and delivering enterprise-level solutions using Palantir Foundry . This is a hands-on leadership role where you’ll define and implement data-driven capabilities that enhance strategic and operational decision-making across complex organisations. Lead Forward Deployed Engineer (Palantir) – UK | Outside IR35 Location: UK (Hybrid/Flexible) Contract: 12 months Rate … per day (Able to negotiate for Top Level Talent) Key Responsibilities: Lead the design, build, and deployment of Palantir Foundry solutions. Translate business objectives into scalable, data-driven applications. Collaborate closely with senior stakeholders to define requirements and outcomes. Oversee integration of diverse data sources into cohesive, actionable platforms. Mentor and guide technical teams to ensure high standards … of delivery. Key Skills & Experience: Proven experience leading Palantir Foundry programmes. Strong background in data engineering , architecture , and integration . Demonstrable ability to manage stakeholders and influence at all levels. Excellent problem-solving and delivery-focused mindset. If you’re an experienced Palantir professional passionate about building impactful data solutions and leading high-performing teams, we’d More ❯

lead a high-performing team in designing and delivering enterprise-level solutions using Palantir Foundry . This is a hands-on leadership role where you’ll define and implement data-driven capabilities that enhance strategic and operational decision-making across complex organisations. Lead Forward Deployed Engineer (Palantir) – UK | Outside IR35 Location: UK (Hybrid/Flexible) Contract: 12 months Rate … per day (Able to negotiate for Top Level Talent) Key Responsibilities: Lead the design, build, and deployment of Palantir Foundry solutions. Translate business objectives into scalable, data-driven applications. Collaborate closely with senior stakeholders to define requirements and outcomes. Oversee integration of diverse data sources into cohesive, actionable platforms. Mentor and guide technical teams to ensure high standards … of delivery. Key Skills & Experience: Proven experience leading Palantir Foundry programmes. Strong background in data engineering , architecture , and integration . Demonstrable ability to manage stakeholders and influence at all levels. Excellent problem-solving and delivery-focused mindset. If you’re an experienced Palantir professional passionate about building impactful data solutions and leading high-performing teams, we’d More ❯

an initial 6-month assignment. The role involves very occasional travel to London, with flexibility to work remotely. Skills required: Azure platform experience Databricks, Azure Functions, and PySpark Strong data engineering and development background Active SC Clearance This role has a quick 1-hour interview process with a start date of 14th November . Azure DataBricks Developer Contract More ❯

an initial 6-month assignment. The role involves very occasional travel to London, with flexibility to work remotely. Skills required: Azure platform experience Databricks, Azure Functions, and PySpark Strong data engineering and development background Active SC Clearance This role has a quick 1-hour interview process with a start date of 14th November . Azure DataBricks Developer – Contract More ❯

an initial 6-month assignment. The role involves very occasional travel to London, with flexibility to work remotely. Skills required: Azure platform experience Databricks, Azure Functions, and PySpark Strong data engineering and development background Active SC Clearance This role has a quick 1-hour interview process with a start date of 14th November . Azure DataBricks Developer – Contract More ❯

an initial 6-month assignment. The role involves very occasional travel to London, with flexibility to work remotely. Skills required: Azure platform experience Databricks, Azure Functions, and PySpark Strong data engineering and development background Active SC Clearance This role has a quick 1-hour interview process with a start date of 14th November . Azure DataBricks Developer – Contract More ❯

an initial 6-month assignment. The role involves very occasional travel to London, with flexibility to work remotely. Skills required: Azure platform experience Databricks, Azure Functions, and PySpark Strong data engineering and development background Active SC Clearance This role has a quick 1-hour interview process with a start date of 14th November . Azure DataBricks Developer – Contract More ❯

an initial 6-month assignment. The role involves very occasional travel to London, with flexibility to work remotely. Skills required: Azure platform experience Databricks, Azure Functions, and PySpark Strong data engineering and development background Active SC Clearance This role has a quick 1-hour interview process with a start date of 14th November . Azure DataBricks Developer – Contract More ❯

an initial 6-month assignment. The role involves very occasional travel to London, with flexibility to work remotely. Skills required: Azure platform experience Databricks, Azure Functions, and PySpark Strong data engineering and development background Active SC Clearance This role has a quick 1-hour interview process with a start date of 14th November . Azure DataBricks Developer Contract More ❯

the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML … models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing … validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct More ❯

the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML … models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing … validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct More ❯

the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML … models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing … validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct More ❯