Data Engineer

IRIS Software Group; City of London; On-site; GBP 50,000 - 70,000; Full time

Job summary

A leading software company is seeking an experienced Data Engineer to join their team in London. In this role, you will develop data engineering processes within a customer-facing data warehousing product. You will design and build data pipelines, work with cloud-native tools, and collaborate with engineering teams to optimize data workflows. The ideal candidate will have a relevant degree and at least 3 years of practical experience in a similar role. This is a full-time position offering significant growth opportunities.

Qualifications

• 3+ years experience in building scalable data pipelines.
• Experience with a data warehousing solution preferred.
• Strong understanding of data modelling and analytics techniques.

Responsibilities

• Build and maintain reliable data pipelines and ETL processes.
• Collaborate with teams to understand data requirements.
• Ensure data quality and consistency through validation.

Skills

Building scalable data pipelines

Data modelling and analytics

Automated testing

CI/CD deployment

Working with cloud-native tools

Education

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

Tools

AWS

Snowflake

dbt

Job description

Data Engineer

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 has over 120,000 UK and international customers with 80% having a tenure of five or more years. 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. More than 850,000 UK employees are managed by IRIS HR solutions. 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.

Purpose

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 build predictive models and work with the engineering team to provide further insights to 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.

Qualification

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

Experience

• 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)
• Experience implementing development best practices including writing 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.
• 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.

Seniority level

• Mid‑Senior level

Employment type

• Full‑time

Job function

• Information Technology

Industries

• Software Development