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- Tasks: Design and develop innovative data projects to enhance data capture and reporting.
- Company: Join a forward-thinking Ipswich business focused on advancing their data capabilities.
- Benefits: Enjoy hybrid working, 25 days holiday, pension, and access to professional training.
- Why this job: Be part of exciting greenfield projects that make a real impact in data management.
- Qualifications: Strong SQL skills, Azure knowledge, and proficiency in Python scripting 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.
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 specific tools and technologies mentioned in the job description, such as Azure and SQL. Having hands-on experience or projects that showcase your skills in these areas can set you apart from other candidates.
✨Tip Number 2
Network with current employees or professionals in the data engineering field, especially those who work with cloud-based solutions. Engaging in conversations about their experiences can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss your previous projects in detail, particularly those involving data pipelines and performance optimisation. Being able to articulate your problem-solving process and the impact of your work will demonstrate your expertise.
✨Tip Number 4
Stay updated on the latest trends and best practices in data engineering. Showing that you are proactive about learning and adapting to new technologies can impress potential employers and highlight your commitment to the field.
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 ability to design and develop end-to-end data services.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention your solid scripting skills in Python and how they can contribute to the greenfield data projects mentioned in the job description.
Showcase Relevant Projects: If you have worked on similar projects, such as creating cloud-based data warehouses or building data pipelines, be sure to include these in your application. This will show that you have practical experience relevant to the role.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a Data Engineer.
How to prepare for a job interview at RaptorTech Recruitment Ltd
✨Showcase Your SQL Skills
Prepare to discuss your experience with SQL in detail. Be ready to explain how you've used it in past projects, and consider bringing examples of complex queries you've written or optimised.
✨Demonstrate Azure Knowledge
Familiarise yourself with Azure services relevant to data engineering. Be prepared to discuss specific tools you've used, such as Azure Data Factory or Azure Synapse Analytics, and how they can benefit the company's data projects.
✨Highlight Your Scripting Abilities
Since solid scripting skills in Python are essential, be ready to talk about your experience with Python. Consider discussing any scripts you've written for data manipulation or automation, and how they improved efficiency.
✨Discuss Data Security Practices
Data security is crucial in this role, so be prepared to talk about best practices you've implemented in previous positions. Discuss any frameworks or protocols you follow to ensure data integrity and security.
