Data Engineer – Hybrid – Inside IR35 – SC Cleared

Pearson Carter; Reading; On-site; GBP 90,000 - 130,000; Full time

Job summary

Pearson Carter is seeking a Data Engineer for a hybrid role based in Reading with three days on-site per week. The position requires SC clearance and operates Inside IR35 with open DOE.

The successful candidate will design, build, and maintain secure, scalable data pipelines and platforms within a collaborative Agile team, using modern cloud technologies while ensuring governance and security. You will work on data modelling, schema design, and datasets for analytics and reporting, leveraging

Qualifications

• 4 years’ experience in Data Engineering, Software Engineering, Analytics, or a similar technical role.
• Good understanding of data engineering principles, data lifecycle management, and relational databases.
• Experience using SQL and Python.

Responsibilities

• Develop, maintain, and support enterprise data pipelines and integration solutions across multiple data sources.
• Build and maintain ETL/ELT processes to enable reporting, analytics, and business intelligence.
• 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 analytics and reporting.

Skills

SQL

Python

Job description

Data Engineer – Hybrid – Inside IR35 – SC Cleared

An established Client is seeking an SC Cleared Data Engineer on an initial contract. You’ll be responsible for designing, building, and maintaining secure, scalable data pipelines and platforms. Working within a collaborative Agile team, you’ll deliver robust data engineering solutions using modern cloud technologies while ensuring compliance with security and governance standards. This is an excellent opportunity to contribute to mission‑critical projects within a secure environment.

Responsibilities

Develop, maintain, and support enterprise data pipelines and integration solutions across multiple data sources.

• Build and maintain ETL/ELT processes to enable reporting, analytics, and business intelligence.
• 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 analytics and reporting.

Experience

• 4 years’ experience in Data Engineering, Software Engineering, Analytics, or a similar technical role.
• Good understanding of data engineering principles, data lifecycle management, and relational databases.
• Experience using SQL and Python.

Salary

Inside IR35 open DOE

Location

Reading 3 days per week