9 of 9 Data Pipeline Jobs in West Sussex

The AI Engineer is a key role in the Data Platform Portfolio team, building the data platform, driving value from data across the business. With strong technical skills and business acumen to help turn millions of potential data points into actionable insights that can drive product improvements, make our customer acquisition more … efficient, improve our customer retention rates, and drive operating efficiencies across the business. The primary goals of the team are: To build and run a data platform which can create and deliver analytics to colleagues and deliver regulatory reporting Ingest and transform data from multiple systems, modelling data and engineering data marts … outliers. Proficient in designing and implementing ELT pipelines using tools like dbt, with strong knowledge of data warehousing, data lake concepts, and data pipeline optimization. Skilled in SQL for data manipulation, analysis, query optimisation, and database design. Artificial Intelligence and Machine Learning Understanding of machine learning algorithms (classification, regression, clustering) and More ❯

Senior Machine Learning Operations Engineer Location: Guernsey, Haywards Heath, Home Office (Remote) or Manchester Salary: £65,000 - £75,000 - depending on experience Department: Technology and Data We're 1st Central, a market-leading insurance company utilising smart data and technology at pace. Rapid growth has been based on giving our 1.4 million customers exactly what they … our colleagues too; we won Insurance Employer of the Year at the British Insurance Awards 2024 and our Glassdoor score is pretty mega too! We're big on data: it gives us the insights we need to give the right cover to the right customers at the right price. But it's the people inside and outside our … Deploying Infrastructure as Code (IAC) across various environments such as dev, uat and prod Handling large volumes of data in various stages of the data pipeline, from ingestion to processing Proven experience with feature stores, using them for both offline model development and online production usage Building integrations between cloud-based systems using APIs, specifically More ❯

etc Annual Leave 23 days rising to 27 with length of service Sick Pay Increasing with length of service The Role: Senior AI Engineer Overview of role AI Data Engineering: Design, build, operate, and deploy real-time data pipelines at scale using AI techniques and best practices. Support AI R&D efforts by applying advanced data warehousing, data science, and data engineering technologies. Aim for automation to enable a faster time-to-market and better reusability of new AI initiatives. Collaboration: Work in tandem with the AI Product Owner and other team members to create, curate, and maintain high-quality AI assets. Ensure alignment of data architecture and … outliers. Proficient in designing and implementing ELT pipelines using tools like dbt, with strong knowledge of data warehousing, data lake concepts, and data pipeline optimization. Skilled in SQL for data manipulation, analysis, query optimisation, and database design. Artificial Intelligence and Machine Learning Understanding of machine learning algorithms (classification, regression, clustering) and More ❯

Location: Guernsey, Haywards Heath, Home Office (Remote) or Manchester Salary: from £70,000 depending on experience Department: Technology and Data We're 1st Central, a market-leading insurance company utilising smart data and technology at pace. Rapid growth has been based on giving our 1.4 million customers exactly what they want: great value insurance with an … design, through development and testing, to deployment, production, monitoring and continuous improvement optimising cutting-edge AI solutions across the business. One day you might be collaborating with our Data Scientists, Software Engineers and Architects on a new GenAI capability. The next, you're fine-tuning prompts or experimenting with Computer Vision and Natural Language Processing (NLP). You … control, and continuous integration. Develop and maintain automated frameworks for testing, validation, and monitoring of AI model accuracy, performance, and reliability. Establish best practices for AI data pipeline development and integration with infrastructure to support scalable deployment. Collaborate closely with Data Scientists, Data Engineers, Software Developers, and Architects for seamless execution of AI More ❯

recognition and inclusivity and offer a wide range of benefits to support staff wellbeing. Your Future Starts Here PURPOSE OF JOB: We’re looking for an experienced Azure Data & AI Engineer with a strong focus on advanced analytics, machine learning, and applied AI - particularly Generative AI. This role will suit a technically capable professional who combines real-world … Vault), and telemetry via Application Insights or Log Analytics. KEY RESPONSIBILITIES: Have 5+ years of technical consulting or a similar chronology of demonstrable success in coding and deploying Data and AI models onto Azure environments. At least one year using Azure Fabric Create scalable and reliable data pipelines for data processing, transformation, and storage. … Establish and enforce data governance policies and be ‘hands-on’ in exploratory data analysis to identify and measure quality gaps that are a block to Data and Ai implementation. Implement robust security measures to protect sensitive data within Azure environments. Integrate AI and machine learning models into data pipelines and More ❯

A leading Financial Services client in the City of London is now seeking an experienced Data Engineering Manager to join on a permanent basis. This role is offering a base of £85,000 + a strong benefits package and flexible working. The ideal Data Engineering Manager will come from a data engineering background and … have strong knowledge in SQL, Snowflake, Microsoft Azure, Azure Data Factory and Azure DevOps. The Engineering Manager will design, improve and maintain robust data pipelines within data architecture. To be considered for this role you will need the following: Experience designing, improving and maintaining robust data pipelines Strong SQL programming skills. Knowledge … of other programming languages such as Python, C++ and Java beneficial Possesses a strong understanding of Snowflake - beneficial Experience managing small teams of Data Engineers Strong experience working in a cloud environment and knowledge in the following very beneficial: Microsoft Azure, Azure Data Factory and Azure DevOps Experience working in fast-paced Agile environments Creativity and More ❯

Lead Backend Engineers (Platform Experience & Data Warehousing teams) Location: UK, Ireland, Poland, Lithuania, Spain, Portugal, Finland numi are proud to have partnered with a front runner in data integration technology providing fantastic experience for their clients (who are some of the biggest names in the space)! We are looking for experienced Lead Backend Engineers (PHP) to … join either Platform Experience or Data Warehousing teams. The Platform Experience team focuses on optimising end-to-end platform journeys and building impactful customer experiences. They are currently developing a data visualisation tool (dashboards) and build features primarily from scratch. The Data Warehousing team is responsible for data storage and transfer solutions … helping users streamline data transfers to data warehouses/datalakes and improving internal storage. This involves scaling, refactoring, and enhancing a complex data transfer system handling large data volumes. As a Lead Backend Engineer, you will lead the development of new features, drive high code quality, provide technical guidance, and collaborate with More ❯

IT, proven experience designing and implementing complex, enterprise-grade AI solutions. Candidate must demonstrate end-to-end lifecycle leadership (concept to iteration) and success in productionizing AI or Data-based projects for tangible business outcomes Deep, hands-on understanding of machine learning, agentic systems, and generative AI. Practical knowledge of the AI landscape: architectural trade-offs (e.g., fine … for other teams, establish technical standards, and guide towards a cohesive, modern AI technology stack. Experience in a decentralized, multi-national organisation is a significant advantage. Navigate regional data maturities, legal/regulatory landscapes, and drive technical change through influence. Experience with cloud-based AI platforms and services (e.g., Google Cloud Platform, Azure) is highly desirable. Hands-on … architectural understanding. Knowledge & skills: Technical Expertise: Mastery of AI/ML architectural patterns and best practices , with a solid understanding of MLOps, CI/CD, and data pipeline integration. Strategic Thinking: Ability to translate high-level business objectives into a robust and scalable technical vision. Leadership & Mentoring: Strong ability to guide, influence, and upskill development teams, setting More ❯

functionality, reliability, security. Tools: Postman, SoapUI, RestAssured, Swagger. Mobile Testing Focus on mobile app quality across Android/iOS devices. Manual and automation testing using Appium, XCUITest, TestFairy. Data/ETL Testing Ensures accurate data flow, transformation, and validation in data pipelines. Works with SQL, Informatica, Talend, SSIS, Snowflake. AI/ML Model Testing More ❯