Data Engineer
Skills
Data EngineeringData ModelingData PipelinesData QualityData ScienceData WarehousingData Wrangling
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