IT & Software

Data Engineer

IRIS Software Group

England · United Kingdom · United Kingdom

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

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Reference: WJ-766_22010789

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