4 of 4 Remote Data Pipeline Jobs in Northampton

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 ❯

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 ❯