Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and develop innovative data projects to enhance data management.
- Company: Join a forward-thinking Ipswich business focused on advancing data capabilities.
- Benefits: Enjoy hybrid working, 25 days holiday, pension, and professional training opportunities.
- Why this job: Be part of exciting greenfield projects that make a real impact in data security and performance.
- Qualifications: Strong SQL skills, Azure knowledge, and Python scripting experience required.
- Other info: Work closely with the Head of Development in a collaborative environment.
The predicted salary is between 43200 - 72000 £ per year.
This is an excellent new vacancy for a Data Engineer to join an Ipswich based business who are looking to really bring to the fore their data capabilities.
Reporting to the Head Of Development you will design, develop and deploy a range of greenfield data projects to improve the way the capture, store and report on data. Projects will include the creation of a cloud based data warehouse, building/integrating data pipelines, optimising data performance and improving general data security.
To be successful it is likely that you will have:
- Commercial data engineering skills and excellent SQL
- Well-rounded knowledge of Azure and its services
- The ability to design and develop end to end data services
- Solid scripting skills (Python)
In return they are offering:
- A salary of up to £60,000.
- Hybrid working (1 day in office a week).
- 25 days holiday + bank holidays.
- Pension.
- Access to professional training.
If you feel you have the skills to be successful, and would like to know more, please apply now.
Data Engineer employer: RaptorTech Recruitment Ltd
Contact Detail:
RaptorTech Recruitment Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in data engineering, especially around cloud-based solutions like Azure. Being able to discuss recent developments or projects you've worked on that utilise these technologies can really impress during interviews.
✨Tip Number 2
Network with professionals in the data engineering field, particularly those who work with Azure. Attend meetups or webinars where you can learn from others and potentially get referrals for job openings.
✨Tip Number 3
Prepare to demonstrate your SQL and Python skills through practical exercises or case studies. Being able to showcase your problem-solving abilities in real-time can set you apart from other candidates.
✨Tip Number 4
Research the company’s current data projects and think about how you could contribute. Tailoring your conversation to their specific needs shows initiative and a genuine interest in the role.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your commercial data engineering skills, SQL expertise, and experience with Azure. Use specific examples from your past work to demonstrate your capabilities in designing and developing data services.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention your relevant experience with cloud-based data projects and how you can contribute to improving data capture, storage, and reporting.
Showcase Your Technical Skills: Be sure to include any relevant technical skills in your application, such as scripting in Python and building data pipelines. Highlight any projects where you've optimised data performance or improved data security.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a Data Engineer role.
How to prepare for a job interview at RaptorTech Recruitment Ltd
✨Showcase Your SQL Skills
Since the role requires excellent SQL skills, be prepared to discuss your experience with SQL in detail. Bring examples of complex queries you've written or optimisations you've made, and be ready to solve a SQL problem during the interview.
✨Demonstrate Your Azure Knowledge
Familiarise yourself with Azure services relevant to data engineering. Be ready to explain how you've used Azure in past projects, particularly in building data warehouses or pipelines, as this will show your practical understanding of the platform.
✨Prepare for Technical Questions
Expect technical questions related to data engineering concepts, such as data modelling, ETL processes, and performance optimisation. Brush up on these topics and think of real-world scenarios where you've applied these principles.
✨Highlight Your Scripting Skills
As solid scripting skills in Python are required, be prepared to discuss your experience with Python in data projects. You might be asked to write a small script or explain how you've used Python to automate tasks or manipulate data.
