Hampshire, Christchurch, Dorset, South West Hybrid / WFH Options
Proactive Appointments
Principal Data Engineer - REMOTE WORKING We are working with one of our biggest customers who are a leading force in the financial services sector. The company are based in Hampshire and the role is remote with occasional trips to the office when required. As a Principal Data Engineer … this involves designing scalable solutions, optimising data systems, and collaborating with various teams to support data-driven decision-making. As a Principal Data Engineer, you will also mentor junior engineers, ensuring best practices and innovative techniques are implemented to enhance overall data infrastructure and strategy alignment … with business goals. Main Responsibilities include: ' • Develop, design, and test data deliveries throughout the development lifecycle.' • Train and coach developers.' • Manage day-to-day data delivery tasks.' • Collaborate with stakeholders to align data solutions with organizational objectives.' • Design and implement scalable, high-performance data architectures.' • Define More ❯
unique skills and talents will be valued and celebrated. Together we will create a brighter future and make a meaningful difference. Job title: Lead Data Engineer at JPMorgan Chase within Corporate Technology As a core technical contributor, you will be responsible for maintaining critical data pipelines and architectures … across multiple technical areas within various business functions to support the firm's business objectives. Job responsibilities Generate data models using firmwide tooling, statistics, and algorithms. Develop data extraction and transformation pipelines in collaboration with other Data Engineers and stakeholders. Deliver data collection, storage, access, and … analytics solutions in a secure, stable, and scalable manner. Understand key data requirements by working closely with stakeholders. Design and implement secure and effective data solutions with appropriate access control. Create data visualization solutions focusing on User Experience. Contribute to a team culture of diversity, equity, inclusion More ❯
while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Proactively identifies hidden problems and patterns in data and uses these insights … and story refinement and estimation process through to delivery Provides out of hours application support and coordination of Production releases Analyzes complex flows of data between technical systems to develop solutions that meet the business needs Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts … event driven architecture and distributed messaging technologies (e.g. Kafka ) Experience with Docker and running Production workloads on Kubernetes Experience using and designing schemas/data structures on relational databases (e.g. PostgreSQL , MySQL , Aurora , and Oracle ) Experience in applying appropriate data structures and algorithms to solve business and technical More ❯
live race events during weekends, this role will require the ability to work a flexible schedule. The Role We are seeking a Motorsports Sportscar Data Analyst to apply data science and modeling techniques to develop and refine race strategy tools, facilitating insightful pre-race planning, split-second identification … Motorsports and GM sponsored motorsports teams to develop and support race strategy tools and provide analytic guidance. Co-develop production race strategy software with data science and IT software development. Work with teammates supporting other racing series to apply analysis techniques and modeling approaches to other series to validate … Motorsports teams compete. #LI-LP2 Additional Job Description What You’ll Need (Required Qualifications) Bachelor’s Degree in Engineering, Physics, Mathematics, Statistics, Computer Science, Data Science, or related field. 5 or more years of experience in a top-level motorsports series including NASCAR, IMSA, F1, IndyCar, WEC, or similar More ❯
