Abtrace
Healthcare
DataEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Data Engineer at Abtrace. Skills: Data pipelines, Data warehouse, Data platform, Data infrastructure. Design data pipelines. Build data pipelines”
Industry & Context.
Data-driven decision making
What They're Looking For.
Must Have
Solid experience as data engineer, Solid experience as backend engineer, Production data systems experience, SQL for data work, Python for data work, Large datasets experience, Distributed datasets experience, Design data pipelines in production, Operate data pipelines in production, Ingestion experience, Transformation experience, Orchestration experience, Cloud data platforms experience, AWS experience, Infrastructure-as-code experience, Manage data infrastructure as code, Comfort working in small team, Make architectural decisions, Clear communication
Nice to Have
AWS cloud data platforms experience, Warehouse or lakehouse experience, dbt familiarity, Airflow familiarity, Dagster familiarity, Step Functions familiarity, Healthcare industry experience, Regulated industries experience, Data governance at scale experience, Early data engineer at startup experience, Data quality background, Observability background, Platform engineering background
What You'll Do.
Design data pipelines
Maintain data pipelines
Ingest from databases
Ingest from file exports
Own data warehouse architecture
Evolve data warehouse architecture
Shape data warehouse direction
Build path for new data
Streamline adding models
Streamline changing models
Implement transformation tooling
Version-control analytics logic
Review analytics logic
Provide data controls
Provide data auditability
Establish data quality checks
Partner with analytics teams
Partner with engineering teams
Partner with product teams
Contribute to data security
Contribute to compliance
Define data platform strategy
How You'll Work.
Team & Collaboration
Analytics teams; Engineering teams; Product teams; Clinical stakeholders; Operational stakeholders
Communication Scope
Clear communication
Full Job Description
### Job Description Abtrace is solving one of the most complex, impactful problems in healthcare for a generation. The company is at an inflection point. Intelligent analysis underpins everything Abtrace does and is key to driving improvements for patients and healthcare workers. **Abtrace** The NHS is under immense pressure. Primary care teams deliver more care for a larger, longer-living population with limited time and workforce capacity. Improving health outcomes at scale requires healthcare to be more proactive, preventative, and operationally efficient. We must automate wherever possible, and thoughtfully digitise the rest. Abtrace supports over 500 primary care practices across the UK, serving 6 million people. We automate the delivery of measurements, vaccinations, blood tests, reviews, and other routine care. We improve healthcare outcomes, reduce operational burden, and create better experiences for both staff and patients. Healthcare professionals deserve software that is reliable, safe, modern, thoughtful, and well designed. Deep analytics and robust data infrastructure are the bedrock of that work – it's how we understand what's working, where opportunities to improve care are, and how we get better. **Role Overview** We're hiring our first dedicated Data Engineer to build the foundation our analytics and product teams depend on. Today, our data flows through a mix of warehouse tables and external sources that have evolved alongside the business. As we scale to support more practices and more sophisticated analysis, we need someone to shape this into a clean, centralised, well-governed platform - reliable, easy to build on, and trusted across the company. This is a senior individual-contributor role. You'll be hands-on day to day – writing pipelines, models, and infrastructure – while owning the architectural direction as we build the foundations of our data platform. Ideally you've watched data infrastructure outgrow its early foundations before, and y
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