4 of 4 Data Pipeline Jobs in Farnborough

Join us as a Data Platform Engineer for our client. At Peregrine, were always seeking Specialist Talent that have the ideal mix of skills, experience, and attitude, to place with our vast array of clients. From Business Analysts in large government organisations to Software Developers in the private sector we are always in search of the best talent … you will be deployed across our portfolio of clients as a specialist consultant, working on a wide array of complex projects across multiple industries. The Role: As a Data Platform Engineer in a highly regulated environment, you will be responsible for designing, building, and maintaining secure and scalable data infrastructure that supports both cloud and on … with over 3 years of relevant experience in data engineering, platform engineering, or a related field, with demonstrated hands-on expertise in NiFi and data pipeline design in regulated environments. Responsibilities: Design, develop, and maintain robust and secure data pipelines using NiFi and related big data technologies. Troubleshoot and optimize NiFi More ❯

Analytics Engineer – Hampshire, United Kingdom – c£55,000 Are you a data professional ready to shape the future of analytics within a fast-paced, innovative environment? Our client is a leading organisation in the events and venue sector, and they’re seeking an Analytics Engineer to strengthen their data infrastructure and drive data-led … cutting-edge technologies on Microsoft Azure, Databricks, and DBT, while collaborating closely with commercial and operational teams to unlock insights that directly impact performance and growth. Key Responsibilities Data Infrastructure Development – Build, maintain, and optimise scalable, reliable data ingestion pipelines on Microsoft Azure. Data Transformation & Modelling – Deliver modular, maintainable data models using … DBT, ensuring alignment with analytics and business needs. Programming & Analytics – Leverage Python for automation, ETL, data validation, and integrating data from multiple sources. Quality & Performance – Ensure data accuracy, consistency, and efficiency, while optimising pipelines for cost and SLA performance. Collaboration – Work with stakeholders across analytics, marketing, operations, and leadership to translate challenges into effective More ❯

Identify and mitigate issues proactively, driving root cause analysis and problem solving. Coach technology communities in areas such as technology domains, design thinking, agile development, security, architecture, and data engineering. Design and optimize big data pipelines using Apache Spark for performance, scalability, and reliability. Architect event-driven systems utilizing AWS Lambda, SQS, and other messaging technologies. … only: proficiency on the Dreyfus engineering scale. Preferred Requirements Hands-on experience with AWS services like Lambda, SQS, CloudFormation/Terraform, and monitoring tools. Deep understanding of big data frameworks, especially Apache Spark. Experience designing scalable, fault-tolerant, cloud-native systems. Advanced skills in Java and Python. Physical and Cognitive Requirements Primarily stationary work, indoors in an office More ❯

to determine root cause. Coaches’ technology communities at Discover in areas of specific technology domain, design-thinking, agile software development way of working, security, architecture and/or data engineering. Design and optimize big data pipelines using Apache Spark, ensuring performance scalability, and reliability Architect even-driven systems using AWS Lambda, SQS, and other messaging technologies … on the Dreyfus engineering scale. Preferred Requirements Strong hands-on experience with AWS, including Lambda, SQS, CloudFormation/Terraform, and monitoring/logging tools Deep understanding of big data frameworks, particularly Apache Spark Demonstrated experience architecting scalable, fault-tolerant, cloud-native systems Advanced proficiency in Java and Python Physical and Cognitive Requirements The physical requirements described here are More ❯