14 of 14 Remote Data Pipeline Jobs in the East Midlands

Contract Role – Data AWS Engineer – Northampton/Hybrid – 6 months – Inside IR35 7+ years of experienced in designing, building, and maintaining data pipelines and architectures on the Amazon Web Services (AWS) cloud platform. Skilled in scalable, reliable, and efficient data solutions, often using AWS services like S3, Redshift, EMR, Glue, and Kinesis. This involves … designing ETL processes, ensuring data security, and collaborating with other teams for data analysis and business requirements Role Overview: Job Title: Data AWS Engineer Location: Northampton (hybrid: 2-3 days in office) Contract Type: Contract Duration: 6 months Key Responsibilities: Designing and Building Data Pipelines: Creating and implementing data pipelines … to move data between different systems and applications on AWS. Data Warehouse Management: Designing, building, and maintaining data warehouses using AWS services like Redshift. ETL Process Development: Developing and maintaining Extract, Transform, Load (ETL) processes to move and transform data. Data Governance and Security: Implementing data governance and security policies More ❯

Contract Role – Data AWS Engineer – Northampton/Hybrid – 6 months – Inside IR35 7+ years of experienced in designing, building, and maintaining data pipelines and architectures on the Amazon Web Services (AWS) cloud platform. Skilled in scalable, reliable, and efficient data solutions, often using AWS services like S3, Redshift, EMR, Glue, and Kinesis. This involves … designing ETL processes, ensuring data security, and collaborating with other teams for data analysis and business requirements Role Overview: Job Title: Data AWS Engineer Location: Northampton (hybrid: 2-3 days in office) Contract Type: Contract Duration: 6 months Key Responsibilities: Designing and Building Data Pipelines: Creating and implementing data pipelines … to move data between different systems and applications on AWS. Data Warehouse Management: Designing, building, and maintaining data warehouses using AWS services like Redshift. ETL Process Development: Developing and maintaining Extract, Transform, Load (ETL) processes to move and transform data. Data Governance and Security: Implementing data governance and security policies More ❯

Data Architect (SQL Azure) Milton Keynes/WFH to £90k Are you a Data technologist with data architecture experience looking for an opportunity to take ownership and make an impact? You could be progressing your career at a well known household name within the fast food space as they invest heavily in their data strategy. As the Data Architect you'll be instrumental in delivering a modern cloud based data infrastructure, they have 16 million customer data points across the UK and Ireland that they're looking to use this to optimise customer retention, product quality and speedy and efficient delivery to the customer. Initially you … ll be responsible for migrating the current on-premise data platform to Azure using Databricks; you'll collaborate with the Head of Digital and AI to modernise the current Data infrastructure and monetise the data available, working with senior business stakeholders to deliver tangible business value. Location/WFH: There's a hybrid work More ❯

Data Delivery and Integration Manager - Full time permanent role - Retail industry - Remote/home-based - Salary up to £75,000 plus bonus, private healthcare and more! A large and growing retail business are looking to expand their IT function with the addition of a Data Integration Manager. This role will focus on end to end data engineering and integration solutions for a company wide modernisation programme. Duties will include: - Managing the processes for data engineering and data integration in order to align to business needs - Leading a team across engineering and integration - Work to ensure the data infrastructure of the business effectively supports analytics, AL, machine learning ML … and reporting - Designing of data pipelines, ETL, ELT processes and architecture - Work with internal stakeholders and multiple 3rd parties to seamlessly integrate systems, platforms and applications To be considered suitable for this Data Engineering Manager role you will need to have experience across the following: - Team leadership and guidance - Data engineering and aligning of More ❯

Data Delivery and Integration Manager - Full time permanent role - Retail industry - Remote/home-based - Salary up to £75,000 plus bonus, private healthcare and more! A large and growing retail business are looking to expand their IT function with the addition of a Data Integration Manager. This role will focus on end to end data engineering and integration solutions for a company wide modernisation programme. Duties will include: - Managing the processes for data engineering and data integration in order to align to business needs - Leading a team across engineering and integration - Work to ensure the data infrastructure of the business effectively supports analytics, AL, machine learning ML … and reporting - Designing of data pipelines, ETL, ELT processes and architecture - Work with internal stakeholders and multiple 3rd parties to seamlessly integrate systems, platforms and applications To be considered suitable for this Data Engineering Manager role you will need to have experience across the following: - Team leadership and guidance - Data engineering and aligning of More ❯

Data Delivery and Integration Manager (Remote) - Full time permanent role - Retail industry - Remote/home-based - Salary up to £75,000 plus bonus, private healthcare and more! A large and growing retail business are looking to expand their IT function with the addition of a Data Integration Manager. This role will focus on end to end … data engineering and integration solutions for a company wide modernisation programme. Duties will include: - Managing the processes for data engineering and data integration in order to align to business needs - Leading a team across engineering and integration - Work to ensure the data infrastructure of the business effectively supports analytics, AL, machine learning … ML and reporting - Designing of data pipelines, ETL, ELT processes and architecture - Work with internal stakeholders and multiple 3rd parties to seamlessly integrate systems, platforms and applications To be considered suitable for this Data Engineering Manager role you will need to have experience across the following: - Team leadership and guidance - Data engineering and aligning More ❯

Coventry (Hybrid 4 days a week ) Salary & Benefits: up to £65,000 Competitive + Benefits A global technology company is seeking a Full Stack Developer to join its data and applications team, supporting digital transformation across manufacturing and operations. This is a hands-on role focused on building scalable, data-driven applications that enable smarter decision … making through intuitive user interfaces and robust backend services. You’ll work closely with data engineers, analysts, and business stakeholders to develop end-to-end solutions using modern development tools and platforms. The role offers the opportunity to work on impactful projects that span data visualisation, operational tooling, and integration with AI/ML workflows. The … Role Design and develop full-stack applications using semantic data models and SDKs. Build and maintain data pipelines and backend services using modern ETL tools. Develop interactive dashboards and operational tools using React and TypeScript. Integrate external APIs and services into application workflows. Collaborate with AI/ML teams to embed models into real-time operational More ❯

Data Scientist – Applied AI for Real-World Impact Location: Nottingham (Hybrid, 2 days per week) The Opportunity Join a fast-growing AI company born from world-class academic research and now powering decision-making for major brands like Boots. You’ll work at the intersection of science and impact, turning large, complex behavioural datasets into production-ready AI … operate. What You’ll Do Analyse and model large-scale behavioural and temporal datasets Build, validate, and deploy ML models for forecasting, classification, and behavioural prediction Develop scalable data pipelines and collaborate with engineering and product teams to operationalise models Communicate insights clearly to both technical and non-technical audiences What You Bring Strong academic background (STEM or … data/AI-related field) 2+ years’ experience in applied data science or ML Skilled in Python (pandas, scikit-learn; PyTorch/TensorFlow a plus) and SQL Hands-on experience with real-world, messy datasets Curious, analytical, and motivated by practical impact Why Join Work with a modern AI/ML stack (Python, SQL, Databricks, cloud More ❯

Data Scientist | AI & Advanced Analytics | Nottingham (Hybrid) The Company An early-stage AI and analytics company building intelligent, explainable machine learning systems that help businesses in retail, healthcare, and mobility unlock the true value of their data. What will I be doing? You'll be developing modular ML solutions that power real-world applications - from predictive analytics and … high ownership and technical depth across the full development lifecycle. What we're looking for Strong Python programming skills and OOP fundamentals Experience with SQL and working with data pipelines Practical machine learning knowledge and a passion for applying AI responsibly A collaborative, curious mindset that thrives in ambiguity and values transparency in how models work What's More ❯

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 More ❯

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 More ❯

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 More ❯

and machine learning, with a keen interest in applying these technologies to revolutionize racing. Role Responsibilities: Develop and implement AI models to analyse real-time and historical race data, improving vehicle performance and strategic decision-making. Collaborate with engineering teams to integrate AI-driven solutions into vehicle design and race operations. Utilize machine learning algorithms to predict race … Stay abreast of the latest advancements in AI and motorsport technologies, applying innovative solutions to maintain Lola's competitive edge. Create and maintain comprehensive documentation for AI models, data pipelines, and system integrations. Conduct rigorous testing and validation of AI systems to ensure reliability and effectiveness in race conditions. Contribute to wider application of AI across the business … time environments. Proficiency in programming languages such as Python, R, or Java. Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Strong understanding of data analysis, statistical methods, and predictive modelling. Excellent problem-solving skills and attention to detail. Effective communication and collaboration abilities. Preferred Skills (desirable but not essential): Familiarity with race strategy More ❯

Engineering Manager to lead and inspire a team of talented software engineers. In this pivotal role, you will be responsible for guiding the development and delivery of robust data pipelines and critical system integrations. You will play a key part in shaping our technical strategy, ensuring the high quality and efficient delivery of software solutions, particularly within a … audiences. The Person: Proven experience in an Engineering Manager or a senior technical leadership role, leading software development teams. Strong expertise in ETL (Extract, Transform, Load) processes and data integration patterns. Demonstrable experience with designing, building, and maintaining robust integrations between disparate systems. Solid understanding of the software development lifecycle (SDLC) and delivery methodologies (Agile, Scrum). Deep … technical proficiency in C#.NET development, including relevant frameworks and technologies. Experience with relational databases (e.g., SQL Server, PostgreSQL) and data warehousing concepts. Excellent communication, interpersonal, and leadership skills. Ability to inspire, motivate, and develop engineering talent. Desired Skills: A strong background in software testing, including experience with various testing methodologies (unit, integration, system, performance) and automation frameworks. Experience More ❯