Principal Data Engineer — Cloud Data Platforms (SC)

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

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.