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- Tasks: Join our team as a Data Engineer, focusing on automated data processing and real-time data feeds.
- Company: Harvey Nash is a leading recruitment agency known for connecting talent with top companies.
- Benefits: Enjoy a hybrid work model and competitive day rates while working on exciting projects.
- Why this job: This role offers hands-on experience with cutting-edge technology in a dynamic and supportive environment.
- Qualifications: Strong background in Python, relational databases, and automated data processing is essential.
- Other info: This is a 6-month contract position, starting ASAP, and falls inside IR35 regulations.
The predicted salary is between 45000 - 63000 £ per year.
Harvey Nash are seeking a highly skilled and experienced Data Engineer to join our team. This role is ideal for someone with a strong background in automated data processing, relational databases, and real-time data feeds using Python.
You will be responsible for designing and implementing data solutions.
Contract: 6 Month Contract | (Inside IR35) | Hybrid - Edinburgh | Starting ASAP | Day Rate: DOE
Data Engineer employer: Harvey Nash
Contact Detail:
Harvey Nash 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 automated data processing and real-time data feeds. This knowledge will not only help you during interviews but also demonstrate your passion for the field.
✨Tip Number 2
Network with current Data Engineers or professionals in similar roles on platforms like LinkedIn. Engaging in conversations can provide insights into the role and may even lead to referrals, which can significantly boost your chances of landing the job.
✨Tip Number 3
Showcase your Python skills through personal projects or contributions to open-source projects. Having tangible examples of your work can set you apart from other candidates and give you something concrete to discuss during interviews.
✨Tip Number 4
Prepare for technical interviews by practising common data engineering problems and scenarios. Being well-prepared for technical questions will help you feel more confident and increase your chances of impressing the interviewers.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to understand the specific skills and experiences required for the Data Engineer position. Highlight your expertise in automated data processing, relational databases, and real-time data feeds.
Tailor Your CV: Customise your CV to reflect your relevant experience and skills that align with the job requirements. Emphasise your proficiency in Python and any projects that showcase your data engineering capabilities.
Craft a Compelling Cover Letter: Write a cover letter that not only introduces yourself but also explains why you are a great fit for the role. Mention specific examples of your past work that relate to the responsibilities outlined in the job description.
Proofread Your Application: Before submitting, carefully proofread your application materials 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 Harvey Nash
✨Showcase Your Technical Skills
Be prepared to discuss your experience with automated data processing and relational databases. Highlight specific projects where you've used Python for real-time data feeds, as this will demonstrate your technical expertise.
✨Understand the Company’s Data Needs
Research Harvey Nash and their data engineering requirements. Understanding their business model and how they utilise data can help you tailor your responses and show that you're genuinely interested in the role.
✨Prepare for Problem-Solving Questions
Expect to face technical challenges during the interview. Practice common data engineering problems and be ready to explain your thought process clearly. This will showcase your analytical skills and ability to think on your feet.
✨Ask Insightful Questions
Prepare a few thoughtful questions about the team dynamics, project expectations, and the technologies they use. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
