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- Tasks: Lead data engineering projects and develop innovative data solutions.
- Company: Join a rapidly growing business with a focus on data-driven insights.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Why this job: Be at the forefront of data technology and make a significant impact.
- Qualifications: Expertise in Python, SQL, NLP, and ML required.
- Other info: Dynamic team environment with excellent career advancement potential.
The predicted salary is between 43200 - 72000 £ per year.
My client is looking for an experienced Lead Data Engineer to join their growing business. Preferably, the Lead Data Engineer will have some hands-on full stack experience.
Requirements of the Lead Data Engineer include:
Lead Data Engineer employer: CatchFish
Contact Detail:
CatchFish Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the hunt for a Lead Data Engineer role. You never know who might have the inside scoop on an opportunity!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python, SQL, and machine learning projects. This will give potential employers a taste of what you can do and set you apart from the competition.
✨Tip Number 3
Prepare for those interviews! Brush up on your NLP and API development knowledge, and be ready to discuss how you've used these skills in past projects. Confidence is key, so practice makes perfect!
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of opportunities that match your skills, and applying directly can sometimes give you a better chance of landing that dream job.
We think you need these skills to ace Lead Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Python and SQL expertise, as well as any NLP and ML experience. We want to see how your skills match the Lead Data Engineer role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the role and how your experience aligns with the requirements. We love seeing passion and personality, so let us know what excites you about this opportunity.
Showcase Your Projects: If you've developed new data insights or worked with PowerBI or Python, make sure to mention those projects in your application. We’re keen to see real examples of your work that demonstrate your capabilities as a Lead Data Engineer.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes the process smoother for both of us!
How to prepare for a job interview at CatchFish
✨Brush Up on Your Tech Skills
Make sure you're well-versed in Python and SQL, as these are crucial for the role. Prepare to discuss your past projects where you've used these languages, especially in relation to NLP and ML.
✨Showcase Your Full Stack Experience
Since hands-on full stack experience is preferred, be ready to talk about your involvement in both front-end and back-end development. Highlight any specific projects where you’ve integrated various technologies.
✨Demonstrate Your Data Insight Development
Think of examples where you've developed new data insights, particularly using PowerBI or Python. Be prepared to explain your thought process and the impact of your insights on the business.
✨Familiarise Yourself with Cloud Technologies
If you have experience with cloud technologies, make sure to mention it! Discuss how you've leveraged these tools in your previous roles and how they can benefit the company.
