At a Glance
- Tasks: Build and maintain data pipelines using cutting-edge AWS technologies.
- Company: Join CACI, a leading data and tech consultancy based in London.
- Benefits: Competitive salary, diverse work environment, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on innovation and technology.
- Why this job: Make a real impact by transforming data into actionable insights.
- Qualifications: 4 years of Data Engineering experience with strong AWS skills.
The predicted salary is between 63000 - 77000 £ per year.
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.
Data Engineer employer: CACI Digital Experience (formerly Cyber-Duck)
CACI Ltd is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. With a strong commitment to employee growth, CACI provides ample opportunities for professional development and skill enhancement, particularly in cutting-edge technologies like AWS. The company's focus on diversity and inclusion ensures a supportive environment where every team member can thrive and contribute to impactful data-driven solutions.
Contact Details:
CACI Digital Experience (formerly Cyber-Duck) Recruitment Team
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We think you need these skills to ace Data Engineer
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