Data Engineer

IRIS Software Group; England; On-site; GBP 50,000 - 70,000; Full time

Job summary

A leading software company is seeking an experienced Data Engineer in London, England. The ideal candidate will develop data engineering processes for a customer-facing data warehousing product, ensuring data quality and optimizing workflows. Candidates should have a BSc or MSc in a relevant field and 3+ years of experience with cloud-native tools. This is a full-time role offering opportunities for collaboration with product and engineering teams.

Qualifications

• 3+ years building scalable data pipelines with cloud-native tools.
• Extensive experience with a data warehousing solution.
• Experience implementing development best practices including CI/CD.

Responsibilities

• Build and maintain reliable data pipelines and ETL processes.
• Collaborate with teams to understand data requirements and deliver datasets.
• Optimize data workflows for performance in cloud environments.

Skills

Data modeling

Predictive modeling

Cloud-native tools

Data analysis

Automated testing

Education

BSc or MSc in Computer Science, Data Science or related field

Tools

AWS

Snowflake

dbt

Job description

Data Engineer – IRIS Software Group

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.

Qualifications:

• BSc or MSc degree in Computer Science, Data Science or a related technical field.

Experience:

• 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.

Responsibilities:

• 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.

Seniority Level: Mid‑Senior

Employment Type: Full‑time

Location: London, England, United Kingdom