SC Cleared Principal Data Engineer - Inside IR 35 - Hybrid

Pearson Carter; Reading; Hybrid; GBP 110,700 - 166,050; Full time

Benefits offered by this job

3 days onsite in Reading

Job summary

Pearson Carter is seeking an SC Cleared Principal Data Engineer for a Reading-based contract role. You will design, build, and govern secure, scalable data pipelines and platforms within an Agile team, delivering robust data engineering solutions using modern cloud technologies in a secure environment.

The role involves leading enterprise-scale cloud data platforms on Azure/AWS/GCP with Databricks, Snowflake, Airflow, Spark, SQL and Python, and ensuring governance and compliance across

Qualifications

• 7 years' experience in data engineering or related field.
• Proven track record designing enterprise-scale cloud data platforms.
• Experience with secure data governance and compliance.

Responsibilities

• Lead design, development, and governance of enterprise-scale data platforms, architectures, and standards.
• Build secure, scalable cloud data solutions enabling reporting, analytics, AI, and BI.
• Design and maintain modern ETL/ELT pipelines and data integration frameworks.

Skills

Data engineering

Cloud architecture

Security & governance

Agile team collaboration

ETL/ELT design

Tools

Databricks

Azure Data Factory

Microsoft Fabric

Snowflake

Airflow

Spark

SQL

Python

Job description

Principal Data Engineer - Inside IR35 - Hybrid - SC Cleared

An established Client is seeking an SC Cleared Principal 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

• Lead the design, development, and governance of enterprise-scale data platforms, architectures, and engineering standards.
• Build and optimise secure, scalable cloud-based data solutions that enable reporting, analytics, AI, and business intelligence capabilities.
• Design and maintain modern ETL/ELT pipelines, data integration frameworks, and reusable data products.

Experience

• 7 years' experience in Data Engineering, Data Platform Development, or Software Engineering.
• Strong experience designing enterprise-scale cloud data platforms using Azure, AWS, or Google Cloud.
• Expertise with technologies such as Databricks, Azure Data Factory, Microsoft Fabric, Snowflake, Airflow, Spark, SQL, and Python.
• Proven experience building scalable ETL/ELT pipelines and modern data architectures.

Salary

Between £600 - £900 Per day inside IR35

Location

This role is based in Reading and requires 3 days a week onsite