SC Cleared Principal Data Engineer – Inside IR 35 – Hybrid

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

Job summary

Pearson Carter is seeking a Principal Data Engineer for a Reading-based contract role with SC clearance and hybrid work arrangements.

You will lead the design, development and governance of enterprise-scale data platforms, delivering secure, scalable cloud-based data solutions and modern ETL/ELT pipelines. The position emphasizes governance, security, and cutting-edge data technologies.

Qualifications

• 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.

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.

Skills

Data Engineering

Cloud Data Platforms

ETL/ELT Pipelines

SQL

Python

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 anSC 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.

Between £600 – £900 Per day inside IR35

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