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- Tasks: Build and maintain data pipelines, ensuring data quality and delivering insights for customers.
- Company: Join IRIS Software Group, a leading UK software company with a strong reputation.
- Benefits: Enjoy competitive salary, career growth, and the chance to work with cutting-edge technology.
- Why this job: Make a real impact by developing analytics solutions that help businesses thrive.
- Qualifications: BSc/MSc in Computer Science or Data Science, plus 3+ years of relevant experience.
- Other info: Be part of a dynamic team focused on innovation and excellence in data engineering.
The predicted salary is between 36000 - 60000 £ per year.
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.
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
- 3+ years experience in building scalable data pipelines with cloud‑native tools in AWS or similar
- Extensive experience working with a data warehousing solution preferably Snowflake
- Excellent data modelling and analytics techniques preferably 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
- 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
Employment type Full‑time
Job function Information Technology
Industries Software Development
Data Engineer employer: IRIS Software Group
Contact Detail:
IRIS Software Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with current employees at IRIS. A friendly chat can sometimes lead to job opportunities that aren't even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects. Whether it's a GitHub repo or a personal website, having tangible examples of your work can really impress hiring managers.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical skills and be ready to discuss your experience with data pipelines and cloud tools. Practising common interview questions can help you feel more confident.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the IRIS team!
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with data pipelines, cloud tools like AWS, and any relevant projects that showcase your skills. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how your background aligns with our mission at IRIS. Keep it concise but impactful – we love a good story!
Showcase Your Technical Skills: Don’t forget to highlight your technical skills in your application. Mention your experience with data warehousing solutions like Snowflake and any tools you’ve used for automated testing and CI/CD. We’re keen to see your expertise in action!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to track your application status. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at IRIS Software Group
✨Know Your Data Inside Out
Make sure you’re well-versed in data engineering concepts, especially around building scalable data pipelines and working with cloud-native tools like AWS. Brush up on your experience with data warehousing solutions, particularly Snowflake, as this will likely come up during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex data challenges. Think about how you’ve improved data reliability and quality through automated testing or monitoring frameworks. Real-life scenarios will help demonstrate your expertise and thought process.
✨Collaborate Like a Pro
Since the role involves working closely with product and engineering teams, be ready to talk about your collaborative experiences. Highlight instances where you’ve worked with analysts or senior engineers to deliver accurate datasets or optimise workflows. Teamwork is key!
✨Ask Insightful Questions
Prepare some thoughtful questions about the company’s data strategies or the technologies they use. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you. Plus, it gives you a chance to engage with the interviewers on a deeper level.
