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# Data Engineer

- **Company:** IRIS Software Group
- **Location:** London, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Business Analytics Applications, Data Analysis, Automation of Tests, Microsoft Azure, Code Review, Databases, Continuous Integration, Information Engineering, Extract Transform Load (ETL), Data Warehousing, Google Cloud, Data Ingestion, Snowflake, Information Technology, Data Pipelines
- **Published:** August 30, 2026
- **Apply:** https://www.collegerecruiter.com/job/2815449630-data-engineer

## About the Role

* BSc or MSc degree in Computer Science, Data Science or a related technical field., * 3+ years building scalable data pipelines with cloud-native tools in AWS or a similar platform.
 * Extensive experience with a data warehousing solution, preferably Snowflake.
 * Excellent data modelling and analytics techniques, preferably using dbt.
 * Experience implementing development best practices, including automated testing and CI/CD deployment.

## Description

We are seeking an experienced Data Engineer to join our growing team. In this role, you will be responsible for developing data engineering processes within a customer-facing data warehousing product that delivers analytics solutions for both the State and Commercial sectors., Purpose: Identify valuable data sources, analyse trends, build predictive models, and provide deeper insights to our customers in collaboration with product and engineering teams., * Build and maintain reliable data pipelines and ETL processes for data ingestion and transformation.

 * Support the development and maintenance of data models and data warehouses used for reporting and analytics.
 * Collaborate with senior engineers, analysts, and product teams to understand data requirements and deliver accurate datasets.
 * Ensure data quality and consistency through validation and monitoring checks.
 * Optimize data workflows for better performance and efficiency in cloud environments (Azure, AWS, GCP).
 * Integrate data from various sources such as APIs, databases, and files into common platforms.
 * Participate in code reviews, testing, and documentation to ensure maintainable and reusable solutions.
 * Contribute to automation and process improvements within the data engineering team.


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