> Markdown version of [/jobs/ext/2250003-staff-software-engineer-data-platforms](https://www.wearedevelopers.com/jobs/ext/2250003-staff-software-engineer-data-platforms). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Software Engineer - Data Platforms - **Company:** Our Future Health - **Location:** London, UK (Remote available) - **Salary:** £74,000.0 - **Contract:** Permanent contract - **Skills:** Airflow, Amazon Web Services, Microsoft Azure, Big Data, Clinical Data Repository, Cloud Engineering, Software Quality, Code Review, Continuous Integration, Information Engineering, Data Stores, Relational Databases, Software Debugging, Software Design Patterns, Github, Python (Programming Language), PostgreSQL, Ansible, Prometheus, Software Engineering, Workflow Management Systems, Data Logging, Test-Driven Development (TDD), Fast Healthcare Interoperability Resources, Grafana, Apache Spark, Containerization, Data Lakes, Kubernetes, Data Management, Terraform, New Relic (SaaS), Docker, Databricks - **Published:** August 26, 2026 - **Apply:** https://www.adzuna.co.uk/jobs/details/5854693219 ## About the Role * You have led the architectural design of systems. * Highly proficient in cloud engineering (preferably in Azure; AWS and GCP) * Demonstrable knowledge and experience in building solutions centred around moving and processing large amounts of data at pace and scale, using cloud-native technologies such as Kubernetes, Helm and Docker. Experience with storing, searching and filtering large scale data. * Highly proficient working with Infrastructure as Code (Terraform, Ansible) * Highly proficient in Python. Experience in orchestration tools like Dagster, Prefect and Airflow are advantageous. * Experience with Spark, Databricks, data lakes/lakehouses. * Knowledge of good data modelling and design patterns; in-depth knowledge of relational databases (e.g. PostgreSQL) and familiarity other types of data store (blob, document, graph). * Highly proficient in modern, agile development practices like code review, TDD, CI/CD and pairing using tools like Git and GitHub. * Experience in operationally managing software components/service once live, including: observability best practises, logging best practises, error reporting, debugging and live incident management. Experience using tools such as Grafana, Prometheus, New Relic etc. * Experience of working with sensitive personal data. * Experience working with a health data (genetic data, clinical data, NHS data) is advantegeous. In particular, any knowledge and experience of FHIR and health data models (OMOP, PCORnet, i2b2, CDISC) would be advantageous. Competencies * Experience working in/with cross-functional teams consisting of engineers, product, UX and non-technical stakeholders. * Proven ability to communicate with stakeholders and audiences at different levels. * Understanding of the importance of operational, security and legal factors when designing solutions, with the ability to articulate trade-offs and make informed decisions around design and technology choices. * Experience working in small, growing organisations with a high degree of ambiguity, where flexibility is valued. * Strong understanding of software quality principles and practices. * Experience in mentoring and coaching less experienced engineers. * Comfortable in facilitating technical discussions, encouraging collaboration and providing direction. Why join us? You'll be joining at an interesting point in the evolution of our Data Engineering organisation. We're looking at how shared tooling and engineering capabilities should work across our Data Product squads, which means there's an opportunity to influence how we design and build these systems rather than simply inheriting an established model. You'll work on genuinely challenging engineering problems involving large volumes of sensitive health data, while collaborating with engineers, data specialists and architects across the organisation. The role combines hands-on engineering with Staff level influence, helping teams make good technical decisions, developing other engineers and improving how we build software across the wider area. We're looking for someone pragmatic, collaborative and comfortable working through ambiguity. You'll have strong technical opinions, but know when to adapt them; you'll care about engineering quality without over-engineering solutions; and you'll be comfortable influencing people without relying on authority. Healthcare experience isn't essential, but an interest in our mission is. It's an opportunity to apply your engineering experience to technology that ultimately supports health research at an unprecedented scale. ## Description Day to day work will vary depending on what your focus is at that time, but will include things like: * Guiding the technical decisions the team makes alongside the squad's product manager and engineering manager (EM). * Represent technology/architecture/engineering in cross-functional project teams throughout a project's lifecycle (from ideation to implementation). Work within the team to identify optimal solutions for challenges, communicate them outwards to stakeholders and work with others to implement them. * Work with the Head of Data Engineering and your peer Staff/Lead Engineers to act as a guiding mind for the engineering/architecture in your business area. Identify areas for improvement and work with other leaders to implement. * Lead decision-making on critical technical strategy and implementations which affect your business area. * Identify opportunities for and then carry out specific pieces of high-impact hands-on work where it makes sense. * Work with partners and suppliers to integrate their systems with Our Future Health's. * Support your colleagues with pairing, peer reviews, coaching, discussion, and other collaborative activities that help everyone reach high standards and result in the delivery of high-quality software products. * Participate in live operations support rotations that monitor live systems and quickly and effectively react to potential incidents and provide support to operations teams such as customer support. This could include being part of an out of hours on-call rotation. * Anticipate problems that could occur with pipelines and take action to prevent them. Identify and describe problems when they occur and be able to develop solutions that address them for the short and long term. * Keep abreast of best practice in software engineering across industry, research and Government, and identify opportunities to bring these into Our Future Health., * Initial chat with our Talent team (30 min) to get to know each other, discuss the role, and answer any questions you have. * 1st interview with our Head of Data Engineering (30 min) - this is an opportunity to learn more about each other and align on role expectations. * Technical interview with 2-3 members from our engineering team (60 min). This will include a short task you'll need to prepare in advance of the interview and is designed to get a sense for how you'd approach the real-world responsibilities of this role. * Final stage competency interview (60 min) with a small cross-functional panel of your potential new colleagues. This will focus on how you collaborate, work with stakeholders, and navigate ambiguity and challenges in real-world projects., At Our Future Health, we recognise the importance of having a diverse workforce and ensuring that all candidates, regardless of their background, have equitable access to our application process. We proactively encourage applicants who identify as having a disability, neurodiversity, or long-term health conditions to let us know if they require any reasonable adjustments as part of their application process. ## Related Videos - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [5 steps for running a Kubernetes environment at scale](https://www.wearedevelopers.com/videos/88-5-steps-for-running-a-kubernetes-environment-at-scale) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Software Engineer Salary London](https://www.wearedevelopers.com/magazine/252-software-engineer-salary-london) - [The 12 Best Jobs for Software Engineers](https://www.wearedevelopers.com/magazine/401-the-12-best-jobs-for-software-engineers) - [Software Engineer Salary in The UK](https://www.wearedevelopers.com/magazine/231-software-engineer-salary-in-the-uk) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [Fullstack Developer Salary UK](https://www.wearedevelopers.com/magazine/251-fullstack-developer-salary-uk)