SC Cleared Data Engineer – INSIDE IR35
Summary
Builds and maintains enterprise-scale data pipelines, ETL/ELT processes, and cloud-based data platforms for a UK government program, collaborating with analysts and engineers to support BI, reporting, and AI initiatives using SQL, Python, and cloud tools.
Data Engineer SC Cleared Contract Inside IR35 Reading (Hybrid)
Location: Reading (3 days onsite, 2 days remote)
Contract: Inside IR35
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.
Experience Required
- 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.
What’s on Offer
- Inside IR35
- Hybrid working (3 days per week onsite in Reading)
- Exposure to modern cloud data technologies and enterprise-scale projects
Salary/Rate: Competitive daily rate (Inside IR35)