[Hiring] Data Engineer @CACI Ltd

Role Description

As a Data Engineer at CACI IIG, you join a community of dedicated engineers who deliver cutting edge solutions for our public sector customers across Central Government, Defence, National Security and Critical National Infrastructure. You will collaborate closely with our clients to design and maintain robust, scalable data pipelines that guarantee data availability, accuracy, and performance for analytics and operational decision-making. In addition, you’ll help shape the data engineering roadmap by driving research, defining technical strategy, aligning with business priorities, and influencing key decisions.

This role will be focussed on the delivery of high priority projects where you will be supporting our customers across the full project lifecycle from initiation to conclusion. Working with a broad range of technical tools, you will be support with compliance to data governance, standards and quality frameworks.

• Interpret and validate data requirements, gather and analyse large-scale structured datasets, and perform profiling within data environments to ensure accuracy and completeness.
• Design and implement ETL frameworks to ingest, transform, validate, normalize, and cleanse data, ensuring it meets business and technical needs.
• Apply data quality controls and prepare datasets for visualisation, implementing data models and manage storage solutions like Amazon S3, Azure Blob Storage, BigQuery, or Snowflake.
• Support the development of data management standards and policies, including techniques for data synthesis and anonymisation to maintain compliance and security.
• Develop robust data models to support analytics and reporting within secure environments.
• Delivering performance optimisation through the monitoring and tuning of data workflows for speed, cost efficiency, and reliability.
• Establish and refine best practices in data engineering, while contributing to advanced analytics and visualization strategies through research, evaluation of emerging technologies, and presentation of findings to stakeholders.

Qualifications

• Proven experience as a Data Engineer within complex environments.
• Strong knowledge of data management principles, including data modelling, integration, and governance.
• Ability to assess existing data management systems and recommend improvements.
• Experience working with Snowflake.
• Familiarity with modern data architectures (e.g., cloud-based, distributed systems).
• Proficiency in SQL, Python, and data pipeline tools (e.g., Apache Airflow, Spark).
• Experience with cloud platforms (AWS, Azure, GCP) and big data technologies.
• Aware of Data Analytics and Visualisation.

Requirements

• Due to the industries we work in, we require the successful candidate to be able to obtain high level security clearance. To qualify for this, you must be a British citizen and have lived permanently in the UK for the last 5 years.

Benefits

• Flexi-time: 37.5 hour weeks to structure how you want.
• Hybrid working: Work from one of our offices or from home - you choose.
• L&D: Budget for conferences, training courses and other materials.
• Social: Fantastic culture with monthly social events.
• Future You: Matched pension and health care package.