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Data Engineer

Skills
Data EngineeringData ModelingData PipelinesData QualityData ScienceData WarehousingData Wrangling
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • NPPV3 Clearance eligibility
  • Understanding of data engineering processes, data wrangling
  • Proficiency in the Azure tech stack
  • Familiarity with SQL, Synapse Warehouse, and data analytics platforms
  • Skilled in programming languages such as SQL, Python, R
  • Experience with machine learning for ETL and pipeline optimization
  • Knowledge of data lifecycle management and project management
  • Proven ability to troubleshoot technical problems
  • Experience with relational databases and Azure cloud services
  • Familiarity with data protection legislation, particularly for counter fraud measures

Day to day

  • Oversee the development and management of data pipelines, models, and storage solutions for the Advanced Data Analytics Portfolio
  • Ensure data is accurately processed and readily prepared for analysis
  • Support the design and implementation of analytical solutions and products
  • Ensure data infrastructure is secure, optimized, and scalable within a cloud environment
  • Drive innovation across the NHS and the public sector

Hiring process

  • Disability Confident Scheme candidates who meet essential criteria guaranteed interview
  • Armed Forces Covenant candidates who meet essential criteria guaranteed interview
  • Best candidates selected for high volume applications