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# Data Engineer

- **Company:** Damia Group
- **Location:** London, UK
- **Experience:** Expert
- **Salary:** £104,000.0 - £130,000.0
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Cloud Computing, Information Systems, Information Engineering, Data Governance, Data Infrastructure, Data Systems, Data Warehousing, Python (Programming Language), Machine Learning, Meta-Data Management, Scrum Methodology, Cloud Services, SQL Databases, Apache Spark, Build Management, Data Lakes, AI Platforms, Information Technology, Data Lineage, Data Management, Data Pipelines
- **Published:** August 4, 2026
- **Apply:** https://find.jobs/jobs-near-me/apply/ats-redirect/?id=2909078961-2

## About the Role

Essential

 * 5+ years' experience in Data Engineering or a similar role.
 * Strong experience with Python, SQL, Apache Spark, and Cloud platforms (AWS, Azure or GCP)
 * Experience designing and operating production-scale data platforms.

Desirable

 * Experience working with AWS.
 * Experience supporting machine learning or AI platforms.
 * Knowledge of data governance, metadata management and data lineage.
 * Experience building modern cloud data lake or warehouse architectures., * Bachelor's degree in Computer Science, Engineering, Information Systems or a related discipline.
 * Master's degree in Big Data, Artificial Intelligence or a similar field is advantageous.
 * Certifications such as PMP, PMI-ACP, SAFe or Certified ScrumMaster are beneficial.

## Description

We're looking for a Data Engineer to design, build and maintain a modern cloud-based data platform that supports scalable data products across the business.

You'll work closely with Product Managers, Solution Architects, Data Architects and other engineers to develop reliable data pipelines, improve data quality and create infrastructure that enables analytics, machine learning and future AI initiatives.

This is an opportunity to join a business investing heavily in its data capabilities while working on products that have a genuine real-world impact., Data Engineering

 * Design and build batch and real-time data pipelines from internal and external data sources.
 * Develop and maintain cloud-native data lake and data warehouse solutions.
 * Ensure data platforms remain scalable, reliable and cost-effective.

Data Quality & Governance

 * Implement automated data quality checks and monitoring.
 * Support data governance, metadata management, lineage and access controls.
 * Build security, privacy and compliance into data solutions from the outset.

Analytics & Machine Learning

 * Optimise datasets for analytics, reporting and machine learning.
 * Work closely with Data Scientists and ML Engineers to support new products and models.
 * Enable self-service access to trusted data across the organisation.

Continuous Improvement

 * Improve the performance, scalability and reliability of existing data pipelines.
 * Introduce modern tooling, best practices and automation.
 * Contribute to the long-term data platform roadmap and AI strategy.


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