Azure Data Engineer - SC Cleared

Shareforce Ltd
4 days ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Remote

Tech stack

Azure
Continuous Integration
Data Architecture
Information Engineering
Data Governance
ETL
Data Systems
Data Warehousing
Python
Enterprise Data Management
Data Ingestion
SC Clearance
Microsoft Fabric
Data Management
Data Lakehouse
Azure
Data Pipelines
Databricks

Job description

This is an exciting contract opportunity for an SC Cleared Azure Data Engineer to join a highly experienced team delivering advanced data solutions for a central government client. Our client helps ambitious organisations take control of their data platforms and accelerate their analytics and AI capabilities through modern, scalable architectures., * Design and implement scalable data pipelines and ETL processes using Azure technologies including Delta Live Tables, Medallion Architecture, Azure Synapse, Python, Data Modelling and Notebook development.

  • Lead technical discussions with clients and stakeholders to gather requirements and propose solutions.
  • Take ownership for the delivery of core solution components.
  • Support with planning, requirements refinement and work estimation.

Requirements

  • Design and develop end-to-end data solutions leveraging Azure services for batch, real time and streaming workloads (including data ingestion, cleansing, modelling and integration)
  • Strong background of enterprise data platform development, concepts and methods such as data warehouses and data lakehouse, with the ability to adapt and tailor based on requirements
  • Experience with Azure Synapse, Azure Databricks, Microsoft Fabric, Data Factory.
  • Expert Python skills
  • Good experience of CI/CD practices and tools for data platforms using Azure DevOps
  • Good understanding of data governance and data architecture principles
  • Excellent communication skills
  • Desirable certification in Azure Data Engineering

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