IRIS Software Group is one of the UK's largest privately held software companies. Its purpose is to be the most trusted provider of mission-critical software and services, ensuring customers get it right first time, every time.
IRIS is the largest third-party online filer with the UK Government. Ninety-one of the top 100 UK accountancy firms and 50 of the top 100 US CPA firms use IRIS software. Circa 20% of the UK's workforce is paid by IRIS payroll offerings. Over 11,000 UK schools and academies use IRIS, with four million parents and guardians using IRIS apps to connect with their children's school; 300 million messages are delivered between schools and parents each year, and over £15 million transactional payments are processed every month. IRIS is placed 93rd in the Grant Thornton Sunday Times Top Track 250, which is compiled by Fast Track and published in The Sunday Times each September, celebrates Britain's private mid-market growth companies with the biggest performance.
We are seeking an experienced Data Engineer to join our growing team. In this role, you will be responsible for the development of data engineering processes within a customer-facing data warehousing product. This product plays a critical role in delivering analytics solutions for both the State and Commercial sectors.
To be successful in this role you will work with the product and engineering team to identify valuable data sources and analyse trends in the data for our customers. You will be able to design and develop end-to-end data pipelines to handle complex transformations and large-scale processing. You will have experience improving data reliability and quality through automated testing, monitoring and validation frameworks.
This is a great opportunity for you to join a growing and investing product and customer centric business, with the significant opportunity for you to share and grow your skillset.
BSc or MSc degree in Computer Science, Data Science or a related technical field )
Bachelors or Masters degree in Computer Science, Data Science or a related field.
~3+ years experience in building a scalable data pipelines with cloud-native tools in AWS or similar.
~ Extensive experience working with a data warehousing solution preferrably Snowflake.
~ Excellent data modelling and analytics techniques preferrably dbt (for transforming raw data into meaningful insights within modern data warehouses)
~ Strong Python and SQL coding skills. JavaScript is a plus but not required.
~ Experience implementing development best practices including writing automated testing and CI/CD deployment.
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.
Assist in optimizing data workflows for better performance and efficiency in cloud environments (Azure/AWS/GCP).
Work with various data sources such as APIs, databases, and files to integrate data 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.
