Key responsibilities and Accountabilities* Contribute using our standard tech stack, which is Python, Linux (via WSL), PostgreSQL, SQL Server, Databricks, and spans both Azure and AWS cloud infrastructure. * Participate in the design and implementation of advanced mechanisms for data ingestion and transformation, and mass parallel orchestration of network IO. * Maintaining Infrastructure as Code and working with infrastructure teams to develop valuable new features for Client's Engineering Platform. * Model data for a variety of purposes (operational and analytical) in collaboration with your team, other teams, and analytical data customers. * Contribute to CLIENT's data platform in a way that promotes the development of a data mesh architecture for the entire enterprise. * Work on indicators of data quality across our estate and improve the quality of our data along key metrics. * Evaluate the quality (completeness and accuracy) of potential new data sources for specific applications. * Contribute to quality automation in our CI/CD process, optimising for bug-free release cadence and developer delight. * Maintain good quality documentation (starting with your code) for technical and non-technical audiences. * Participate in a pairing-first development team, learning skills from your colleagues and giving back to the community by imparting hard-won wisdom and skills learned from past experiences. * Mentoring and coaching of less experienced team members through design and code reviews * Participate in a safe and honest workplace culture by participating in open conversations about technical design, implementation and interrogating decisions when appropriate. * Contribution to test automation through either enhancement to the platform or additional tests * Assessment of application security to ensure it complies with CLIENT Application Security Standards * Evaluation of APIs to ensure that they comply with the relevant CLIENT API Standards Skills & Ability* You are able to grasp, articulate, and advocate for technological solutions in both technical and non-technical settings and intelligently apply agile principles as you do so. * You are able to interrogate and present data and data analysis and have a willingness to present results of analysis undertaken as a part of your team's work. * You have demonstrable experience as a senior software developer or engineer with a focus on Python. * SQL (Postgres, SQL Server, Databricks) * comfortable working without an ORM. * familiar with the challenges of working with data *at scale*. *prefer the command line use of git, bash/zsh, and (optionally) vim. * An undergraduate degree or demonstrable knowledge and experience of concepts in Computer Science, Software Engineering, Logic, Applied Statistics, Actuarial Science, Data Science, or any related discipline would be advantageous.