Staff Software Engineer - Data Platforms

Role overview

Essential duties and responsibilities

• Guide technical decisions with the squad’s product manager and engineering manager.
• Represent technology, architecture, and engineering in projects from ideation through implementation.
• Act as a technical and architectural guide with the Head of Data Engineering and peer Staff and Lead Engineers.
• Lead critical technical strategy and implementations for the business area.
• Carry out high-impact hands-on engineering work and integrate partner and supplier systems.
• Support colleagues through pairing, peer reviews, coaching, discussion, and other collaborative activities.
• Participate in live operations support and possible out-of-hours on-call rotations.
• Anticipate pipeline problems, diagnose incidents, and develop short- and long-term solutions.
• Keep current with software engineering best practices and identify opportunities to apply them.

Technical skills and experience

• Experience leading architectural design of systems.
• Highly proficient in cloud engineering, preferably Azure, with AWS and GCP also relevant.
• Experience processing large data volumes at scale with cloud-native technologies such as Kubernetes, Helm, and Docker.
• Highly proficient with Infrastructure as Code, including Terraform and Ansible.
• Highly proficient in Python; orchestration tools such as Dagster, Prefect, and Airflow are advantageous.
• Experience with Spark, Databricks, data lakes, and lakehouses.
• Knowledge of data modelling, relational databases such as PostgreSQL, and other data stores.
• Proficiency in code review, TDD, CI/CD, pairing, Git, and GitHub.
• Experience managing live software components, including observability, logging, debugging, and incident management.
• Experience working with sensitive personal data.
• Health data, FHIR, and health data models such as OMOP, PCORnet, i2b2, and CDISC are advantageous.

Competencies

• Experience working with engineers, product, UX, and non-technical stakeholders in cross-functional teams.
• Ability to communicate with stakeholders and audiences at different levels.
• Understanding of operational, security, and legal factors in solution design and trade-off decisions.
• Experience in small, growing organisations with ambiguity and valued flexibility.
• Strong understanding of software quality principles and practices.
• Experience mentoring and coaching less experienced engineers.
• Comfort facilitating technical discussions, encouraging collaboration, and providing direction.

About Our Future Health

Compensation and benefits

• The description contains conflicting salary statements: a header says from GBP 74,000, while the benefits section says from £105,000 per annum.
• Benefits include up to 12% employer pension contributions, 30 days’ holiday plus bank holidays, enhanced parental leave, salary-sacrifice schemes, wellbeing support, and referral bonuses.

Workplace and location

• The posting identifies the role as hybrid in London, United Kingdom.
• Employees may work remotely from anywhere within the UK with occasional travel to London.

Hiring process

• The process includes a talent team chat, Head of Data Engineering interview, technical interview with a prepared task, and final competency interview.