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# Data Engineer [AQ-11155]

- **Company:** Aquent
- **Location:** London, UK
- **Contract:** Temporary contract
- **Skills:** Java (Programming Language), Continuous Integration, Data Governance, Data Visualization, Data Warehousing, DevOps, Python (Programming Language), Programming Environments, Shell Script, Software Deployment, Software Engineering, SQL Databases, Data Streaming, Software Application Programming, Containerization, Machine Learning Operations, Data Pipelines
- **Published:** August 4, 2026
- **Apply:** https://uk.indeed.com/viewjob?jk=857d2b13ed33495a

## About the Role

* Experience managing batch and/or streaming data pipelines and infrastructure.
 * Proficiency in Python, SQL, and shell scripting.
 * Experience with containerization and "infrastructure as code" tools.
 * Professional experience developing applications in a modern programming environment (preferably Scala/Java and/or Python).
 * Professional experience across the entire software development life cycle, from requirements gathering to production deployment using CI/CD.
 * Ability to articulate complex technical content to peers and partners via Technical Design Documents.

Nice-to-Have Qualifications

 * Experience optimizing complex analytical queries in a data warehousing system.
 * Familiarity with data visualization and business intelligence tools.
 * Experience with the MLOps life cycle.
 * DevOps experience with major cloud platforms.
 * Data quality experience, particularly in developing and improving internal tools for automatic issue detection.

## Description

* Build and maintain scalable data pipelines that support our growing data needs.
 * Implement observability and monitoring solutions to enhance reliability, data quality, and robustness across our systems.
 * Develop critical data quality checks to ensure compliance with security standards and data governance policies.
 * Actively participate in code and technical design reviews, contributing to a culture of engineering excellence.
 * Collaborate with product engineering, data science, and business teams on scoping and planning, supporting data tracking, collection, ingestion, quality monitoring, and alerting.


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