SC Cleared Data Engineer
Pearson Whiffin Recruitment Ltd
Reading, UK
11 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Working hours
Regular working hours
Job source
Tech stack
Agile Methodology
Amazon Web Services
Data Analysis
Microsoft Azure
Information Engineering
Data Governance
Data Integration
Extract Transform Load (ETL)
Relational Databases
Python (Programming Language)
Standard Sql
Software Engineering
+8 more
Enterprise Data Management
Google Cloud
Azure Data Factory
Git
SC Clearance
Microsoft Fabric
Software Version Control
Databricks
Job description
Security Clearance: Current SC Clearance or previously held SC Clearance required Pearson Carter are currently working with a major public sector programme, who are looking to recruit a Data Engineer to join their growing Data & Integration team. This is an excellent opportunity to work on a large-scale enterprise data platform, helping to build modern data pipelines and integration solutions that support business intelligence, reporting, and future AI capabilities. Responsibilities
- Develop, maintain and support enterprise data pipelines and integration solutions.
- Build and maintain ETL/ELT processes across multiple data sources.
- Support cloud-based data platforms and contribute to the continuous improvement of enterprise data capabilities.
- Assist with data modelling, schema design and the creation of datasets for reporting and analytics.
- Monitor pipeline performance, troubleshoot issues and improve data quality and reliability.
- Collaborate with Data Analysts, Software Engineers and business stakeholders to understand data requirements.
- Support data governance, security and best practice across enterprise data platforms.
Requirements
- Current SC Clearance or previously held SC Clearance.
- Up to 2 years’ experience in Data Engineering, Software Engineering, Analytics or a similar technical role.
- Strong SQL and Python skills.
- Understanding of ETL/ELT processes and data integration.
- Knowledge of relational databases and data engineering principles.
- Experience working with Git or other version control systems.
-
Excellent analytical and problem-solving skills. Desirable Skills
- Experience with Microsoft Azure, AWS or Google Cloud.
- Exposure to Microsoft Fabric, Azure Data Factory, Databricks or similar data engineering technologies.
- Knowledge of data governance, data quality and reporting concepts.
- Experience working in Agile environments.
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