Data Engineer

Sanderson Government & Defence; England; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading data solutions company in the United Kingdom is seeking a Data Engineer to establish robust data infrastructure. You will design, build, and maintain scalable data pipelines and collaborate with Data Analysts and Scientists to ensure data accessibility. Familiarity with tools like Azure Data Factory and data governance principles is essential. This role offers a daily rate of £425. Join us in building a modern data platform that meets analytics needs while maintaining data quality and security.

Qualifications

• Experience in designing and maintaining data pipelines.
• Strong understanding of data governance policies.
• Ability to collaborate with various stakeholders on data projects.

Responsibilities

• Design, build, and maintain scalable data pipelines.
• Develop and manage data models and schemas.
• Collaborate with Data Analysts and Scientists for data usability.
• Implement data quality checks and monitoring.
• Optimize data workflows for performance.
• Support data integration into visualization platforms.
• Ensure adherence to data governance policies.
• Document data architecture and processes.

Skills

Data pipeline design and maintenance

Data model management

Collaboration with analysts

Data quality checks and validation

Performance optimization

Data governance and security

Documentation

Tools

Azure Data Factory

AWS Data Pipeline

Databricks

Apache Spark

Power BI

ServiceNow

Job description

Data Engineer (Inside IR35)

£425 Per day

SC Cleared - A must to be considered for this opportunity

London

To support the formation of a new Data Team, there is a critical need to establish robust, scalable, and secure data infrastructure. Currently, data is dispersed across multiple systems with inconsistent formats and limited automation. A Data Engineer will play a key role in designing and implementing the pipelines, architecture, and tooling required to enable reliable data ingestion, transformation, and delivery.

Key Responsibilities

• Design, build, and maintain scalable data pipelines to ingest, transform, and store data from multiple sources.
• Develop and manage data models, schemas, and metadata to support analytics and reporting needs.
• Collaborate with Data Analysts, Data Scientists, and Business Analysts to ensure data availability, accessibility, and usability.
• Implement data quality checks, validation routines, and monitoring to ensure data integrity and reliability.
• Optimise data workflows for performance, cost efficiency, and maintainability using modern data-engineering tools and platforms (e.g., Azure Data Factory, AWS Data Pipeline, Databricks, Apache Spark).
• Support the integration of data into visualisation platforms and analytical environments (e.g., Power BI, ServiceNow).
• Ensure adherence to data governance, security, and privacy policies.
• Document data architecture, pipelines, and processes to support transparency and knowledge sharing.
• Contribute to the development of a modern data platform that supports both real-time and batch processing.