HealthTech Data Engineer – AWS/Databricks (Remote UK)

Brio Digital

Leeds

Hybrid

GBP 83,000 - 101,000

Full time

14 days+
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Job summary

Brio Digital is seeking a Data Engineer to join a HealthTech transformation project. The role supports NHS data platforms with AWS, Databricks, Python and SQL expertise. Location involves 1-2 days on-site in Leeds with UK-wide remote work considered as part of the hybrid setup.

You will design data pipelines, optimise data ingestion from MongoDB and implement governance and testing within CI/CD workflows. Healthcare data familiarity is a bonus; healthcare standards knowledge is valued.

Qualifications

  • Experience designing end-to-end data pipelines in cloud ecosystems.
  • Hands-on Python for ETL and data engineering.
  • Advanced SQL for data modelling and performance tuning.
  • Experience with AWS data services and Databricks.
  • Familiarity with MongoDB or NoSQL databases.
  • Understanding of data governance and testing frameworks.

Responsibilities

  • Design and maintain end-to-end data pipelines in AWS.
  • Build reliable data solutions using Databricks, Python and SQL.
  • Integrate data from diverse sources including MongoDB.
  • Develop ETL processes for analytics and operations.
  • Implement data quality, governance, and testing.
  • Collaborate with analysts and delivery teams to enable trusted data.
  • Contribute to scalable cloud-native data architectures.

Skills

Problem-solving
Stakeholder collaboration
CI/CD
Agile delivery
Data governance
Data architecture

Tools

Databricks
AWS Glue
AWS Redshift
S3
Lambda
Databricks
Python
SQL
MongoDB

Job description

Brio Digital is seeking a Data Engineer to join a HealthTech transformation project. The role supports NHS data platforms with AWS, Databricks, Python and SQL expertise. Location involves 1-2 days on-site in Leeds with UK-wide remote work considered as part of the hybrid setup.

You will design data pipelines, optimise data ingestion from MongoDB and implement governance and testing within CI/CD workflows. Healthcare data familiarity is a bonus; healthcare standards knowledge is valued.

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