2 of 2 Cloud Native Jobs in Leicester

HMLR's Developers work on a variety of projects that are central to their digital transformation. This includes rebuilding core registration and casework systems, geospatial data initiatives, developing new cloud-native services and modernising legacy applications into scalable, containerised solutions. If you would like to find out more about the role, The Software Development profession and what it … November at 12:30pm. Follow the application link for booking instructions. HMLR's Core Tech Stack Languages: Java and Python (with some legacy Delphi) Frameworks: Spring Boot, Flask, Django Cloud & Hosting: AWS and OpenShift (container-based environments) Containers & DevOps: Docker, Kubernetes, CI/CD pipelines (Jenkins, GitHub/GitLab) Databases: PostgreSQL (primary), with some Oracle and SQL Server legacy … through the full development lifecycle Proficiency in one or more modern programming languages, i.e. Java or Python Solid understanding of system design, API development and integration practices Experience with cloud platforms (AWS preferred) and containerisation technologies Practical knowledge of CI/CD pipelines and DevOps principles Experience mentoring developers and improving technical processes Excellent problem-solving, communication, and stakeholder More ❯

data model. Liaise with IT teams to transition data models into production environments. Conduct data mining and exploratory data analysis to support model development. Apply strong SQL, Hadoop, and cloud-based data processing skills to manage and analyse large datasets. Support the design and structure of data models, with a working understanding of data modelling principles. Present findings and … in a clear and engaging manner. Use reporting and visualisation tools such as Power BI to deliver business insights. Contribute to the development of scalable data solutions within a cloud architecture. Key Skills & Experience: Proven experience as a technical data analyst or data engineer in a project-focused environment. Strong proficiency in SQL, Hadoop, and cloud platforms (preferably … AWS). Experience with data mining, data modelling, and large-scale data processing. Familiarity with tools such as Python, R, and Power BI. Understanding of cloud architecture and deployment practices. Excellent communication and stakeholder engagement skills. Ability to work collaboratively in a fast-paced, project-driven setting. Desirable: Experience working on banking or financial services data projects. Knowledge of More ❯