CACI Digital Experience (formerly Cyber-Duck)

Data Engineer

Company Overview

Headquartered in London, CACI Ltd is a wholly owned subsidiary of CACI International Inc., a publicly listed company on the NYSE with annual revenue in excess of US $6.2bn and employing approximately 22,000 people worldwide. CACI Ltd is an international data and technology consultancy with £154m turnover and 1200 employees, passionate, progressive and unafraid of challenge, with a mission to use technology and data‑driven insight to make a commercial difference.

About CACI Data Engineering

CACI has implemented a Data Platform that supports and enables a Data Mesh organisation, using AWS technology to deliver an open federated Lakehouse and a unified user experience. The platform focuses on enabling decentralised management, processing, analysis and delivery of data, while enforcing federated governance across business domains. The goal is to empower multiple teams to create and manage high‑integrity data and data products that are analytics and AI ready, and to be consumed internally and externally.

What does a Data Engineer do?

A Data Engineer partners closely with business units to maintain existing cloud data architectures, and to assess, design and execute the migration of their existing cloud and on‑premise/desktop data products and workflows onto a modern cloud data platform. This involves understanding current data architectures, dependencies and transformation logic, translating that into cloud native solutions in harmony with the company data platform, governance and strategy. The role requires developing data pipelines that operate across a medallion architecture, with an obsession on data quality and integrity, while considering the cost benefit of different approaches. Skills in AWS services such as Glue, EMR, S3, MWAA (Apache Airflow), Step Functions, Redshift, SageMaker, and in traditional RDBMS (Postgres, Oracle, SQL Server) are essential; SQL, Python and PySpark are required, as is experience with IaC such as CloudFormation or Terraform.

Responsibilities Will Include

Collaborating across CACI departments to develop and maintain data products and the data platform
Designing and implementing data processing environments and integrations using AWS PaaS such as Glue, S3, Lambda, Fargate, EMR, SageMaker, Redshift, Aurora and Snowflake
Data architecture and data modelling across full data lifecycles, including detailed modelling of databases and data products
Building data processing and analytics pipelines as code, using Python, SQL, PySpark, Spark, CloudFormation, Lambda, Step Functions, and Apache Airflow
Designing and applying security and access control architectures to secure sensitive data
Enabling business units by working with them to deliver complete and manageable solutions, while providing support and expert advice

You Will Have

4 years of experience in a Data Engineering role
Strong experience and knowledge of data architectures implemented in AWS using native services such as S3, DataZone, Glue, EMR, SageMaker, Aurora and Redshift, using Python, PySpark and SQL
Experience developing and administrating databases, data platforms and solutions
Good coding discipline in terms of style, structure, versioning, documentation and unit tests
A well‑developed understanding of a data mesh organisation, as well as Master and Reference Data Management
Experience migrating legacy to modern, as well as modern to modern
Knowledge and experience of relational databases such as Postgres, Redshift
Experience using Git for code versioning, and lifecycle management
Experience operating to Agile principles and ceremonies
Hands‑on experience with CI/CD tools such as GitLab
Strong problem‑solving skills and ability to work independently or in a team environment
Excellent communication and collaboration skills
A keen eye for detail, and a passion for accuracy and correctness in numbers

While not essential, the following skills would also be useful

Experience using Jira, or other agile project management and issue tracking software
Experience with spatial data processing, technology and approaches
Experience with machine learning and AI workflows
Experience with IaC such as CloudFormation or Terraform

We are committed to creating a diverse environment and are proud to be an equal‑opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Successful candidates must have the right to work in the UK.

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