Data Engineer (SC cleared)

Data Engineer 4 months – with extensions Remote Active SC clearance required £640 per day inside ir35 REQUIRED Strong understanding of data concepts – data types, data structures, schemas (both JSON and Spark), schema management etc Strong understanding of complex JSON manipulation Experience working with Data Pipelines using a custom Python/PySpark frameworks Strong understanding of the 4 core Data categories (Reference, Master, Transactional, Freeform) and the implications of each, particularly managing/handling Reference Data. Strong understanding of Data Security principles – data owners, access controls – row and column level, GDPR etc including experience of handling sensitive datasets Strong problem solving and analytical skills, particularly able to demonstrate these intuitively (able to work a problem out, not follow a work instruction to resolve) Experience working in a support role would be beneficial, particularly able to demonstrate incident triage and handling skills/knowledge (SLAs etc) Fundamental linux system administration knowledge – ssh keys and config etc, Bash CLI and scripting, Environment variables Experience using browser based IDEs (Jupyter Notebooks, RStudio etc) Experience working in a dynamic Agile environment (SAFE, scrum, sprints, JIRA etc) Python (as a programming language, not just being able to write basic scripts)LANGUAGES / FRAMEWORKS JSON YAML Python (as a programming language, not just able to write basic scripts) Pydantic experience DESIRABLE SQL PySpark Delta Lake Bash (both CLI usage and scripting) Git Markdown Scala DESIRABLE Azure SQL Server as a HIVE Metastore DESIRABLETECHNOLOGIES Azure Databricks Apache Spark Delta Tables Data processing with Python PowerBI (Integration / Data Ingestion) JIRAIf you meet the above requirements, please apply for the vacancy to be contacted by an Experis Consultant. If you haven't been contacted within 2 weeks of application, please consider the vacancy closed