276 to 300 of 328 Remote Data Engineering Jobs

Data Architect | Contract Opportunity Day Rate: Up to £500 Location: Aldershot, Hampshire (hybrid model) IR35 Status: Outside IR35 Contract Type: Freelance/Contract Security Clearance: SC Clearance is required We're looking for a skilled and hands-on Data Architect to take ownership of the data processes for an exciting new project. What you'll be doing … Designing and implementing ETL processes from scratch. Building and managing data pipelines, with a primary focus on Apache NiFi . Collaborating closely with a development team and end-users in an agile environment. Working with other teams to help build end-user dashboards. What you'll need: Proven experience as a Data Architect or in a similar data engineering role. Hands-on experience with Apache NiFi is essential. A collaborative and agile mindset. Experience in creating technical documentation like ICDs and CoCo documents. More ❯

Data Architect | Contract Opportunity Day Rate: Up to £500 Location: Aldershot, Hampshire (hybrid model) IR35 Status: Outside IR35 Contract Type: Freelance/Contract Security Clearance: SC Clearance is required We're looking for a skilled and hands-on Data Architect to take ownership of the data processes for an exciting new project. What you'll be doing … Designing and implementing ETL processes from scratch. Building and managing data pipelines, with a primary focus on Apache NiFi . Collaborating closely with a development team and end-users in an agile environment. Working with other teams to help build end-user dashboards. What you'll need: Proven experience as a Data Architect or in a similar data engineering role. Hands-on experience with Apache NiFi is essential. A collaborative and agile mindset. Experience in creating technical documentation like ICDs and CoCo documents. More ❯

those models to their platform so they can run smoothly in production Build tools and frameworks that their Quant Researchers and Traders use to test ideas and fine-tune data-driven trading strategies Collaborate closely with the business side to understand needs, gather feedback, and improve their research tools over time. Requirements: PhD or MSc Degree in Computer Science … Artificial Intelligence, Mathematics, Statistics or related fields. 5+ years of hands-on experience in MLOps and Research Engineering An ability to work full-stack with data; some data engineering experience is a big plus Strong coding skills in Python Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment. How to More ❯

the smooth and efficient functioning and development of our databases and pipelines. You will be responsible for developing, optimising and managing these databases and ensuring a high-level of data quality and integrity. You will be defining the principles and processes that underpin data management while ensuring we maintain the highest standards for data management, security, privacy … are repeatable and scalable. Create and manage database schemas, tables, stored procedures, indexes, and triggers. Ensuring high availability of databases through clustering, replication, and other techniques. Implement and maintain data pipelines and ETL processes for real-time and batch data ingestion. Monitor database performance and proactively address issues related to tuning and optimization. Ensure data security, privacy … integrity, and compliance with internal and external regulations. Collaborate with third-party suppliers, software developers, data analysts, DevOps, and other stakeholders to meet project requirements. Plan and implement database backups, restores, and disaster recovery strategies. Taking an active role in supporting and in finding the root cause of operational issues and preventing recurrences. Support the migration of databases and More ❯

the smooth and efficient functioning and development of our databases and pipelines. You will be responsible for developing, optimising and managing these databases and ensuring a high-level of data quality and integrity. You will be defining the principles and processes that underpin data management while ensuring we maintain the highest standards for data management, security, privacy … are repeatable and scalable. Create and manage database schemas, tables, stored procedures, indexes, and triggers. Ensuring high availability of databases through clustering, replication, and other techniques. Implement and maintain data pipelines and ETL processes for real-time and batch data ingestion. Monitor database performance and proactively address issues related to tuning and optimization. Ensure data security, privacy … integrity, and compliance with internal and external regulations. Collaborate with third-party suppliers, software developers, data analysts, DevOps, and other stakeholders to meet project requirements. Plan and implement database backups, restores, and disaster recovery strategies. Taking an active role in supporting and in finding the root cause of operational issues and preventing recurrences. Support the migration of databases and More ❯

for a Senior Backend Developer to join their award-winning Insurance division. As part of a mixed technical team including back-end developers, testers, front-end developers and actuarial data scientists, you d be working on their market-leading insurance application, used by some of the largest London Market and International insurers to assess over £200bn in reserves. Your … to design Driving better integration between their C# and Python codebases, rewriting and restructuring code where needed to improve cohesion Address any performance bottlenecks and optimise performance of complex data workflows Championing best practice and guiding the junior team members What they re specifically looking for: C# development experience (.Net 8) with production-level proficiency Data engineering data-intensive application experience Python Azure PaaS/SaaS tools (eg. Azure Functions, App Services, Batch, Blob/Table/Queue Storage) Excellent problem-solving skills Why join them: It s an entrepreneurial environment pushing the boundaries, harnessing technology to enable more efficient analytics. A true people-first employer where you ll be supported to learn and develop More ❯

for a Senior Backend Developer to join their award-winning Insurance division. As part of a mixed technical team including back-end developers, testers, front-end developers and actuarial data scientists, you’d be working on their market-leading insurance application, used by some of the largest London Market and International insurers to assess over £200bn in reserves. Your … to design Driving better integration between their C# and Python codebases, rewriting and restructuring code where needed to improve cohesion Address any performance bottlenecks and optimise performance of complex data workflows Championing best practice and guiding the junior team members What they’re specifically looking for: C# development experience (.Net 8) with production-level proficiency Data engineering – data-intensive application experience Python Azure PaaS/SaaS tools (eg. Azure Functions, App Services, Batch, Blob/Table/Queue Storage) Excellent problem-solving skills Why join them: It’s an entrepreneurial environment pushing the boundaries, harnessing technology to enable more efficient analytics. A true people-first employer where you’ll be supported to learn and develop More ❯

Data Engineer - Generative AI Projects ?? Hybrid | 2-3 Days On-Site | Up to £55,000 + Bonus + Package ?? British Citizens Only | BPSS Clearance Required We're hiring a Data Engineer with a passion for automation, clean pipelines, and the future of AI. This is your chance to shape how data powers Generative AI and NLP tools … work on innovative internal use-cases - from AI assistants to intelligent search and document automation - this is the perfect next step. ?? What You'll Be Doing Building and maintaining data pipelines across structured & unstructured sources Collaborating with internal teams to support Generative AI and NLP projects Ensuring data is secure, compliant, high-quality, and easy to access Bringing … internal customers across multiple teams and functions ?? What You'll Bring Experience with SQL & NoSQL databases (e.g. MS SQL, MongoDB, Neo4J) Python skills for scripting and automation ETL and data exchange experience (e.g. APIs, ESB tools) Knowledge of Big Data (e.g. Hadoop) Curiosity about AI, particularly NLP, OCR or Generative AI ?? Bonus Points For Docker/containerisation experience More ❯

Data Scientist Agentic AI & LLMs (Claude AI) Location: Hybrid (Manchester office presence required fortnightly) Salary: £80,000 £90,000 DOE Job Type: Full-time, Permanent Our client is a fast-growing technology business developing next-generation AI solutions to transform enterprise workflows. Their platforms help organisations in highly regulated sectors streamline decision-making, automate repetitive tasks, and unlock new … insights from complex data. They combine human expertise with cutting-edge AI to deliver safe, scalable, and explainable solutions. The Role We are seeking a Data Scientist to join an expanding AI team focused on building Agentic AI systems and developing Large Language Models (LLMs), including Claude AI . You will design, develop, and implement AI models that bring … enterprise applications. This is a hybrid position, with Manchester office presence required once every two weeks for collaboration and team sessions. What Were Looking For Strong track record in data science and machine learning , with practical experience in LLMs and generative AI . Knowledge of Claude AI or equivalent LLM frameworks, including fine-tuning and prompt engineering. Proficiency in More ❯

management Skills and Experience AI/ML Expertise: Strong understanding of LLMs, NLP, and AI-driven recommendations. Technical Leadership: Experience in AI product scalability, DevOps, and cloud architecture. Backend & Data Skills: Proficiency in Python, Node.js, PostgreSQL, MongoDB, API security. AI Model Deployment: MLOps, scaling, data engineering, and AI ethics awareness. Strategic Mindset: Ability to align technology with … business objectives and cost efficiency. Security & Compliance Knowledge: GDPR, API authentication, and observability best practices. Big data processing: Understanding data lakes, warehouses, and tools like Spark, Kafka, and Airflow. ETL Pipelines: Ability to evaluate data ingestion, transformation, and cleaning processes. DevOps & CI/CD: Hands-on knowledge of Jenkins, GitHub Actions, Terraform, and CloudFormation. What's in More ❯

a passionate Senior Business Intelligence Analyst with a strong commercial mindset and a genuine love for data. This role isn't just about surfacing numbers-it's about transforming data into meaningful insights that support strategic decisions. You'll play a pivotal role in enabling teams across the business to make informed, data-driven decisions. To thrive in … environment. What you will be doing KPI & Performance Analysis: Collaborate with teams across Pricing, Claims & Fraud, and senior leadership to identify and evaluate key KPIs influencing conversion and performance. Data Accessibility & ETL Design: Make data accessible and digestible for internal and external stakeholders. Partner with Data Engineering to design and implement ETL processes where needed. You … problems-not just the ones involving numbers and you're comfortable executing against tight deadlines in a fast-paced environment. You're eager to grow in the world of data analytics, expanding your technical skills, exploring different areas of analytics and platforms, and developing your career within the company. You have excellent stakeholder management skills and can confidently engage More ❯

on digital application management and managing a team to deliver enhancements and future automation based on business needs. Duties will include: - Managing internal team of Low Code Developer and Data Engineer - Working with 3rd party vendors and internal team to deliver low-code applications and data warehousing across the Microsoft Power Platform - Gathering user and business requirements - Change … management and chairing CAB - Improving efficiency through automating solutions - Oversee system enhancements and software upgrades - Oversee data engineering process - ETL/ELT pipelines with Azure Data Factory - Drive development of Snowflake Data Warehouse - Digital roadmap development - IT projects To be considered suitable you will need the following skills/experience: - Understanding of the Microsoft Power Platform More ❯

Innova Solutions has a client that is immediately hiring for a Big Data Engineer Job title: Big Data Engineer Position type: Full-time/Contract Duration: 24 Months Location: Chandler, AZ (Hybrid) As a Big Data Engineer, you will: Design, develop, and maintain scalable data pipelines using Hadoop, Hive, PySpark, and Python. Integrate and manage data services with Amazon AWS S3, ensuring security and compliance. Perform data modeling and database design using MySQL or similar relational databases. Implement and manage job scheduling using Autosys. Automate data workflows and transformations using Spark, Python, and shell scripting. Collaborate with stakeholders to understand data requirements and deliver actionable insights. Utilize tools like Power BI and … Dremio for data visualization and exploration. The ideal candidate will have:Experience in software/data engineering. Strong experience with Hadoop, Hive, PySpark, Python AWS S3 and data service integration Data modeling and relational database design Autosys job scheduler Unix/Shell scripting CI/CD pipelines Power BI and Dremio Solid understanding of software engineering More ❯

New vacancies for talented Data Scientists to join a one-of-a-kind biotech start up in West London, with state of the art labs and offices in West London (W12) . Working at the very cutting edge of life sciences, the Data Scientists will get the opportnuity to handle and analyse a diverse range of scientific data … Jupyter, Python, and associated libraries. Work with scientists to understand experimental goals and tailor analyses accordingly. Document analyses and communicate findings in a clear, concise manner. Collaborate with the data engineering team to maintain good data hygiene and integration. Essential Requirements Proficiency in Python for data analysis (pandas, NumPy, matplotlib/seaborn). Solid foundation in … outputs (e.g. plots, dashboards). Comfortable working in Jupyter Notebooks and collaborating with experimental teams. A degree (BSc or MSc) in a quantitative field such as Biology, Bioinformatics, Statistics, Data Science, or related discipline. There is an excellent salary and benefits package on offer in addition to hybrid working. Bond Williams Professional Recruitment are an equal opportunity employer and More ❯

Senior Consultant - Data & AI Pre-Sales Lead Company Description Are you ready to join the forefront of technology innovation with Netcompany? As one of the fastest growing technology companies, we are disrupting the marketplace and revolutionizing the way businesses operate. Our vision is to be the leading digital challenger in Europe whilst evolving the next generation of IT consulting. … our offerings are designed to meet diverse business needs Job Description The role will be responsible for devising solutions to business requirements for new and existing clients within the Data & AI domain. The role combines commercial acumen with broad technical expertise to be able to assist customers and partners in translating business requirements into cost effective, fit for purpose … bidding space. Through pragmatic, effective and customer focused presales, the role holder will contribute to targeted growth across our GTM. Working as part of the Netcompany GTM team the Data & AI Pre-sales Lead will support all aspects of presales customer engagement, including exploratory meetings, workshops, bids, and overall account strategy discussions. They will be able to demonstrate and More ❯

Innova Solutions has a client that is immediately hiring for a Big Data Engineer Job title: Big Data Engineer Position type: Full-time/Contract Duration: 24 Months Location: Chandler, AZ (Hybrid) As a Big Data Engineer, you will: Design, develop, and maintain scalable data pipelines using Hadoop, Hive, PySpark, and Python. Integrate and manage data services with Amazon AWS S3, ensuring security and compliance. Perform data modeling and database design using MySQL or similar relational databases. Implement and manage job scheduling using Autosys. Automate data workflows and transformations using Spark, Python, and shell scripting. Collaborate with stakeholders to understand data requirements and deliver actionable insights. Utilize tools like Power BI and … Dremio for data visualization and exploration. The ideal candidate will have:Experience in software/data engineering. Strong experience with Hadoop, Hive, PySpark, Python AWS S3 and data service integration Data modeling and relational database design Autosys job scheduler Unix/Shell scripting CI/CD pipelines Power BI and Dremio Solid understanding of software engineering More ❯

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

offer a comprehensive range of services from application development and seamless cloud migration to program delivery and service operations, our offerings are designed to meet diverse business needs Our Data Practice delivers exciting projects through data-driven, digital transformation for our customers. We support from pre-sales through to delivery and have a strong focus on solving real … customer challenges and deriving true customer benefit with the ultimate goal of benefiting society and driving meaningful digital and cultural change. Our senior data engineers will be coached to grow from both a technical and soft skills perspective, plus have the chance to progress their career through an architecture, expert, or generalist career track. Job Description Role Description: Netcompany … Clearance Must be willing to do UK-based travel for projects Right to work in the UK Experience in delivering customer value through Agile delivery methodology Contribute towards wider Data Practice through supporting pre-sales, knowledge sharing and generating offerings and accelerators 4+ years of data engineering experience Benefits: Hybrid working model with some flexible working 25days More ❯

that uncover patterns, generate insights, and empower investors in the rapidly evolving crypto space. Key Responsibilities Lead the design, implementation, and optimisation of AI/ML models for blockchain data analysis. Collaborate with product and engineering teams to integrate AI/ML solutions into the core platform, enhancing capabilities and user experience. Stay ahead of the curve on … ML function. Align AI/ML initiatives with business objectives and customer needs through close cross-functional collaboration. Deploying scalable AI/ML systems capable of processing large, complex data sets. Leveraging modern AI models, APIs, and SDKs (e.g., OpenAI, LLMs). Enhancing the platform’s ability to surface high-value insights and opportunities for users. What We’re … delivering impactful AI/ML projects. Expertise in frameworks such as TensorFlow or PyTorch, and proficiency in Python. Familiarity with AI-first approaches and large language model integration. Some data engineering experience is a strong plus. Strong analytical and problem-solving skills. Excellent communication skills and ability to work effectively in a fully remote, multi-time zone team. More ❯

that uncover patterns, generate insights, and empower investors in the rapidly evolving crypto space. Key Responsibilities Lead the design, implementation, and optimisation of AI/ML models for blockchain data analysis. Collaborate with product and engineering teams to integrate AI/ML solutions into the core platform, enhancing capabilities and user experience. Stay ahead of the curve on … ML function. Align AI/ML initiatives with business objectives and customer needs through close cross-functional collaboration. Deploying scalable AI/ML systems capable of processing large, complex data sets. Leveraging modern AI models, APIs, and SDKs (e.g., OpenAI, LLMs). Enhancing the platform’s ability to surface high-value insights and opportunities for users. What We’re … delivering impactful AI/ML projects. Expertise in frameworks such as TensorFlow or PyTorch, and proficiency in Python. Familiarity with AI-first approaches and large language model integration. Some data engineering experience is a strong plus. Strong analytical and problem-solving skills. Excellent communication skills and ability to work effectively in a fully remote, multi-time zone team. More ❯

Engineer Hybrid Working - UK Wide - 1 day a quarter on site. Financial Services Lorien's leading banking client is looking for a Machine Learning Engineer to join the growing data science and AI team. You'll play a key role in designing, developing, and deploying scalable machine learning solutions using Python and Amazon SageMaker . This role is based … site. Key Responsibilities Design and implement machine learning models for classification, regression, and forecasting tasks. Build and manage end-to-end ML pipelines using Amazon SageMaker . Collaborate with data scientists, engineers, and product teams to integrate ML solutions into production systems. Optimise model performance and scalability. Monitor and maintain deployed models, ensuring reliability and accuracy. Stay up-to … date with the latest ML research and tools. Required Skills & Experience Strong proficiency in Python and its ML/data libraries (e.g., NumPy, pandas, scikit-learn, TensorFlow or PyTorch). Hands-on experience with Amazon SageMaker , including training, tuning, and deploying models. Solid understanding of machine learning algorithms and statistical methods. Experience with cloud platforms (AWS preferred). Familiarity More ❯

effectively aligned with business objectives, driving product innovation and value. As a Senior Applied Scientist, you will: Own and manage end-to-end model development, guiding others in research, data engineering, and evaluation. Operate in an agile way, pushing for quick iterations guided by customers' needs. Be accountable for all research deliverables on small to medium-sized projects. … Work with stakeholders to define scope, determine feasibility, and translate business/customer objectives into technical requirements. Partner effectively with Engineering to ensure well-managed software delivery and co-design ML Ops processes related to model monitoring, evaluation, and retraining. Support and coach junior scientist by providing advice, mentoring, and training. Be an NLP expert About You: You're … Experience writing production code and ensuring well-managed software delivery Demonstrable experience translating complex problems into successful AI applications Outstanding communication, problem-solving, and analysis skills Collaborating with Product, Engineering and Business Stakeholders in an agile manner to demonstrate value and iterate with customer feedback Excellent coding skills in Python Proficiency with Git, AWS, Azure for remote model development More ❯

Location: Hybrid - London or Leeds, Yorkshire Are you passionate about building robust, scalable ML solutions and working at the forefront of data-driven innovation? We are looking for a Machine Learning Engineer to join an expanding team working on projects that drive cutting-edge automation and machine learning capabilities across a range of industries. Opportunity to work on innovative … environment. Access to the latest cloud and machine learning technologies . Responsibilities Design and implement ML pipelines and automation workflows for seamless CI/CD integration. Build and manage data engineering pipelines using Infrastructure as Code (IaC) principles. Collaborate with solutions architects and IT teams to integrate diverse data feeds into a unified ML platform. Ensure ML … Proficiency in Python and Unix Scripting (Bash). Solid experience with AWS services (S3, EC2, Lambda, SageMaker, CloudFormation, DynamoDB, etc.). Skilled with Docker and container management. Strong software engineering background : code reviews, version control, optimisation, testing, and logging. Expertise in machine learning libraries such as NumPy, Pandas, TensorFlow, PyTorch, SciPy, and Dask. Proven experience linking data from More ❯

Location: Hybrid - London or Leeds, Yorkshire Are you passionate about building robust, scalable ML solutions and working at the forefront of data-driven innovation? We are looking for a Machine Learning Engineer to join an expanding team working on projects that drive cutting-edge automation and machine learning capabilities across a range of industries. Opportunity to work on innovative … environment. Access to the latest cloud and machine learning technologies . Responsibilities Design and implement ML pipelines and automation workflows for seamless CI/CD integration. Build and manage data engineering pipelines using Infrastructure as Code (IaC) principles. Collaborate with solutions architects and IT teams to integrate diverse data feeds into a unified ML platform. Ensure ML … Proficiency in Python and Unix Scripting (Bash). Solid experience with AWS services (S3, EC2, Lambda, SageMaker, CloudFormation, DynamoDB, etc.). Skilled with Docker and container management. Strong software engineering background : code reviews, version control, optimisation, testing, and logging. Expertise in machine learning libraries such as NumPy, Pandas, TensorFlow, PyTorch, SciPy, and Dask. Proven experience linking data from More ❯

Data Engineer - Informatica, Azure and Devops £450 per day Inside IR35 Contract - 6 Months Fully Remote Key Responsibilities: Provide infrastructure support for the project Creating CI/CD pipelines Setting up and maintaining infrastructure Resolve any infrastructure related issues Look after the Informatica DEI infrastructure Key Skills: Previous Data Engineering experience CI/CD pipelines Azure Informatica More ❯