- Lead the consolidation and migration of legacy data to our new cloud-based data platform.
- Design and implement master and transactional data models to ensure data integrity and consistency.
- Develop ETL pipelines and cloud data storage solutions that meet business requirements and non-functional needs.
- Collaborate closely with data analysts, visualization engineers, and project managers to deliver data solutions.
- Surface data for analytical consumption and prepare data for ML/predictive and prescriptive models.
- Proficiency with Databricks and building data pipelines on Azure cloud platforms.
- Strong data modeling and analysis skills.
- Experience across functional areas such as Clinical, Finance, Procurement, Operations, HR, Risk, or general NHS/healthcare. (must have solid experience working with clinical data)
- Advanced SQL and Python skills.
- Experience with other cloud providers (GCP or AWS) and data mesh solution architecture.
- Familiarity with healthcare terminology, clinical frameworks, and ethical considerations.
- Knowledge of data governance, data quality, and data protection policies.
- Familiarity with PowerBI, SAP S/4, Workday, and clinical applications.
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Senior Data Engineer - London Area, United Kingdom - Stott and May
Description
Stott and May has partnered with a global healthcare organisation within the private sector, to source a senior data engineer to join their growing tech team.
Hybrid (3/4 days per month in London or Manchester)
Salary: Circa £80k p/annum
Key Responsibilities:
What we are looking for:
Desirable Skills :
If you're passionate about leveraging data to make a difference in healthcare and meet the above requirements, we'd love to hear from you.