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- Tasks: Support and optimise data pipelines using dbt, SQL, and Snowflake.
- Company: Dynamic UK-based technology consultancy with a focus on innovation.
- Benefits: Competitive rate of £400 per day and remote work flexibility.
- Other info: 6-month contract with potential for extension and immediate start.
- Why this job: Join a team where your skills can directly enhance data delivery and impact.
- Qualifications: Experience in data engineering and proficiency in dbt, SQL, and Snowflake.
The predicted salary is between 104000 - 104000 £ per year.
A UK-based technology consultancy is seeking a Lead Data Engineer for a 6-month remote contract with the possibility of extension. The successful candidate will support and optimize business-as-usual data pipelines using dbt, SQL, and Snowflake.
Responsibilities include:
- Delivering backlog items
- Improving data models
- Collaborating with engineers and analysts to enhance data delivery
This mid-senior level position offers a competitive rate of £400 per day, starting immediately.
Lead Data Engineer - Remote UK Contract (6 months) in London employer: Uneek Global
Contact Detail:
Uneek Global Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer - Remote UK Contract (6 months) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with data engineering. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with dbt, SQL, and Snowflake. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions. We recommend practising your answers and even doing mock interviews with friends to build confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Lead Data Engineer - Remote UK Contract (6 months) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with dbt, SQL, and Snowflake. We want to see how you've optimised data pipelines in the past, so don’t hold back on those details!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're the perfect fit for this Lead Data Engineer role and how you can contribute to our team. Keep it engaging and relevant to the job description.
Showcase Your Collaboration Skills: Since this role involves working closely with engineers and analysts, make sure to mention any past experiences where you’ve successfully collaborated on projects. We love teamwork!
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 this exciting opportunity right away!
How to prepare for a job interview at Uneek Global
✨Know Your Tech Stack
Make sure you’re well-versed in dbt, SQL, and Snowflake. Brush up on your knowledge of these tools and be ready to discuss how you've used them in past projects. This will show that you’re not just familiar with the tech but can also apply it effectively.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've optimised data pipelines or improved data models in previous roles. Be specific about the challenges you faced and the solutions you implemented. This will demonstrate your ability to tackle real-world problems.
✨Collaboration is Key
Since the role involves working closely with engineers and analysts, think of instances where you’ve successfully collaborated with others. Highlight your communication skills and how you’ve contributed to team success in delivering data solutions.
✨Be Ready for Technical Questions
Expect some technical questions during the interview. Practice explaining complex concepts in a simple way, as this will show your depth of understanding. You might even want to run through some common SQL queries or data modelling scenarios beforehand.