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- Tasks: Build and maintain data pipelines, ensuring quality and efficiency in cloud environments.
- Company: Join IRIS Software Group, a leader in analytics solutions for diverse sectors.
- Benefits: Enjoy competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative team environment with a focus on automation and process improvement.
- Why this job: Make an impact by delivering valuable insights through innovative data engineering.
- Qualifications: BSc/MSc in Computer Science or related field; 3+ years of relevant experience.
The predicted salary is between 55000 - 70000 £ per year.
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
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 other Data Engineers on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines, models, and any projects you've worked on. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical skills and be ready to discuss your experience with AWS, Snowflake, and dbt. Practice common interview questions and think about how you can demonstrate your problem-solving abilities.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications come directly from passionate candidates. Plus, it shows you're genuinely interested in joining our team at StudySmarter.
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 in data modelling and analytics.
Showcase Your Skills: In your cover letter, don’t just list your qualifications; show us how your skills align with our needs. Talk about your experience with Snowflake, dbt, and any automated testing practices you've implemented.
Be Clear and Concise: Keep your application clear and to the point. Use bullet points for easy reading and make sure to include specific examples of your work that demonstrate your ability to build reliable data pipelines and ETL processes.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. This way, we can easily track your application and ensure it gets the attention it deserves!
How to prepare for a job interview at IRIS Software Group
✨Know Your Data Tools
Make sure you brush up on your knowledge of cloud-native tools, especially AWS and Snowflake. Be ready to discuss your experience building scalable data pipelines and how you've implemented best practices in your previous roles.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled challenges in data engineering. Think about times when you optimised data workflows or improved data quality, and be ready to explain your thought process.
✨Collaborate Like a Pro
Since this role involves working closely with product and engineering teams, be prepared to talk about your collaboration experiences. Highlight any projects where you worked with analysts or senior engineers to meet data requirements.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about their current data challenges or how they envision the future of their data warehousing solutions.