SW Secure Data Environment Senior Data Engineer

Essential

• Educated to master's level or equivalent senior-level experience within a specialist data, analytics, digital or technical environment.
• Significant experience designing, developing and supporting complex data pipelines, transformations and data integration solutions.
• Strong hands-on experience using SQL, Python and relevant modern data engineering tools and technologies.
• Experience working with large-scale health, research, public sector or similarly complex datasets.
• Strong knowledge of data modelling, data quality assurance, metadata management and data validation techniques.
• Ability to analyse complex datasets, data structures and technical requirements and determine appropriate engineering approaches.
• Experience planning and delivering complex data engineering or integration activity within agreed timescales and resources.
• Ability to manage multiple projects, technical priorities and deliverables simultaneously.
• Experience providing technical leadership, peer review, mentoring and guidance to engineers or technical colleagues.
• Excellent communication skills, with the ability to translate complex requirements and explain technical concepts to technical and non-technical audiences.
• Strong problem-solving skills and the ability to resolve complex data quality, integration and interoperability issues.
• Understanding of information governance, cyber security, data protection and relevant compliance requirements.
• Ability to work collaboratively with data providers, researchers, suppliers and partner organisations across organisational boundaries.
• Commitment to technical quality, inclusive working, knowledge sharing, innovation and continuous improvement.

Desirable

• Experience working with NHS data, health research infrastructure, Secure Data Environments or Trusted Research Environments.
• Knowledge of NHS datasets, coding systems, data standards and healthcare information flows.
• Experience of cloud-based data engineering using Azure, AWS or an equivalent platform.
• Experience of DevOps, automation, infrastructure-as-code or platform engineering approaches.
• Knowledge of interoperability standards or common data models such as OMOP, FHIR or openEHR.
• Knowledge of SATRE, the Data Security and Protection Toolkit, ISO 27001 or other relevant security and assurance frameworks.