Data Engineer - SC Cleared

Job Title: Data Engineer
Location: Remote
Rate: Up to £480 a day
Start Date: Mid February
Job Type: Contract

Length: 12months

About the Role

We're looking for a skilled Data Engineer to design, build, and optimize scalable data pipelines in a cloud-first environment. You'll play a key role in transforming raw data into reliable, high-quality datasets that power analytics, reporting, and downstream applications.

This is a hands-on role for someone who enjoys working across modern ETL tooling, AWS cloud services, and distributed data processing frameworks-while collaborating closely with architects, analysts, and business stakeholders.

What You'll Be Doing

• Design, develop, and optimize ETL pipelines using tools such as Informatica, Azure Data Factory, AWS Glue, or similar platforms

• Build and manage cloud-based data pipelines leveraging AWS services including EMR, S3, Lambda, and Glue

• Implement scalable data processing workflows using PySpark, Python, and SQL

• Design and support data ingestion, transformation, and integration across structured and unstructured data sources

• Collaborate with data architects, analysts, and business stakeholders to translate requirements into robust data solutions

• Monitor pipeline performance, troubleshoot issues, and ensure data quality, reliability, and availability

• Contribute to best practices across data engineering, including version control, CI/CD, automation, and monitoring

What We're Looking For

• Strong hands-on experience with ETL development and orchestration (Informatica, Azure, or AWS-based tooling)

• Solid experience working in AWS cloud environments, particularly core data services

• Proven experience building distributed data pipelines using EMR, PySpark, or similar technologies

• Strong background in data processing and transformation across large-scale datasets

• Proficiency in PySpark, Python, and SQL for data manipulation and automation

• Good understanding of data modelling, data warehousing concepts, and performance optimization

• Experience with CI/CD and version control (e.g. GitHub, GitLab, DevOps tooling)

• Exposure to data governance, metadata management, and data quality frameworks

• Comfortable working in Agile delivery environments (a plus, not a blocker)

Why Join?

• Work on modern, cloud-native data platforms

• Build pipelines that directly support real business and analytics outcomes

• Collaborate with experienced data professionals in a supportive, delivery-focused environment

• Flexible working and a strong engineering culture that values quality and automation