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- Tasks: As a Freelance Data Engineer, you'll design and implement data solutions remotely.
- Company: Join a dynamic team focused on innovative data engineering projects.
- Benefits: Enjoy flexible remote work and competitive pay up to £550 per day.
- Why this job: This role offers exciting challenges and the chance to make a real impact in data management.
- Qualifications: Experience in data engineering and proficiency in relevant technologies are essential.
- Other info: Contract duration is between 6 to 12 months, outside IR35 regulations.
The predicted salary is between 39600 - 55000 £ per year.
Location: Remote-first (UK-based)
Rate: Up to £550 p/d
Contract: 6 - 12 months (Outside IR35)
Freelance Data Engineer employer: trg.recruitment
Contact Detail:
trg.recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Freelance Data Engineer
✨Tip Number 1
Make sure to showcase your technical skills in data engineering, particularly with tools and languages relevant to the role. Highlight any experience you have with data pipelines, ETL processes, and cloud platforms, as these are crucial for a freelance position.
✨Tip Number 2
Network with other data professionals and join online communities where freelance opportunities are shared. Engaging with others in the field can lead to referrals or insights about upcoming projects that may not be advertised widely.
✨Tip Number 3
Prepare to discuss your previous freelance projects in detail during interviews. Be ready to explain your problem-solving approach and how you delivered value to your clients, as this will demonstrate your capability and reliability as a freelancer.
✨Tip Number 4
Stay updated on industry trends and emerging technologies in data engineering. Being knowledgeable about the latest tools and methodologies will not only enhance your skill set but also show potential employers that you are proactive and committed to your professional development.
We think you need these skills to ace Freelance Data Engineer
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly read the job description for the Freelance Data Engineer position. Understand the key responsibilities and required skills to tailor your application accordingly.
Highlight Relevant Experience: In your CV and cover letter, emphasise your experience with data engineering, including specific projects or technologies you've worked with. Use quantifiable achievements to demonstrate your impact in previous roles.
Craft a Tailored Cover Letter: Write a cover letter that specifically addresses the requirements of the job. Mention why you are interested in this freelance opportunity and how your skills align with the company's needs.
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 engineering role.
How to prepare for a job interview at trg.recruitment
✨Showcase Your Technical Skills
As a Freelance Data Engineer, it's crucial to demonstrate your technical expertise. Be prepared to discuss specific tools and technologies you've used, such as SQL, Python, or data warehousing solutions. Highlight any relevant projects that showcase your problem-solving abilities.
✨Understand the Company’s Data Needs
Research the company and its data requirements before the interview. Understanding their business model and how they utilise data will allow you to tailor your responses and show that you're genuinely interested in contributing to their success.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your analytical thinking and decision-making skills. Practice articulating your thought process when faced with data challenges, as this will help interviewers gauge your practical experience and approach to problem-solving.
✨Communicate Clearly and Confidently
Effective communication is key, especially in a remote-first role. Practice explaining complex data concepts in simple terms, as you may need to collaborate with non-technical stakeholders. Confidence in your communication can set you apart from other candidates.
