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- Tasks: Lead and optimise data pipelines using dbt, SQL, and Snowflake.
- Company: Join a forward-thinking company with a focus on data innovation.
- Benefits: Competitive daily rate, remote work, and potential for contract extension.
- Why this job: Make a real impact by enhancing data delivery and driving tech improvements.
- Qualifications: Experience in data engineering and strong collaboration skills required.
- Other info: Immediate start with a quick interview process.
The predicted salary is between 30000 - 42000 £ per year.
Uneek is looking for a Lead Data Engineer to join on a 6-month contract with the possibility to extend. This role is remote (UK-based).
In this role you will be:
- Supporting and optimising BAU data pipelines using dbt, SQL, and Snowflake
- Delivering backlog items and improving data models
- Driving tech debt remediation and pipeline reliability
- Collaborating with engineers, analysts, and stakeholders to enhance data delivery
Start Date: Immediate – quick interview process.
Lead Data Engineer in Newcastle upon Tyne employer: Uneek Global
Contact Detail:
Uneek Global Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer in Newcastle upon Tyne
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field. Let them know you're on the lookout for opportunities, and who knows? They might just have the inside scoop on roles that aren't even advertised yet.
✨Tip Number 2
Prepare for those interviews! Brush up on your SQL, dbt, and Snowflake skills. Be ready to discuss how you've optimised data pipelines in the past. We want to see you shine and show us what you've got!
✨Tip Number 3
Show off your projects! If you've worked on any cool data models or pipeline improvements, make sure to highlight them during your conversations. Real-world examples can really set you apart from the competition.
✨Tip Number 4
Don't forget to apply through our website! It's the best way to ensure your application gets seen by the right people. Plus, we love seeing familiar faces when it comes to interviews!
We think you need these skills to ace Lead Data Engineer in Newcastle upon Tyne
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 supported and 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 the Lead Data Engineer role. Share specific examples of how you've driven tech debt remediation and improved data models.
Showcase Collaboration Skills: Since this role involves working closely with engineers, analysts, and stakeholders, make sure to mention any relevant teamwork experiences. We love seeing how you’ve enhanced data delivery through collaboration!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the quickest way for us to receive your application and get the ball rolling on the interview process. Don’t miss out!
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 resolved tech debt in previous roles. Be specific about the challenges you faced and the solutions you implemented. This will demonstrate your ability to drive improvements and reliability in data delivery.
✨Collaboration is Key
Since this role involves working closely with engineers, analysts, and stakeholders, think of instances where you’ve successfully collaborated with others. Highlight your communication skills and how you’ve contributed to team success in enhancing data models.
✨Be Ready for a Quick Process
With an immediate start and a quick interview process, be prepared to answer questions succinctly and confidently. Have your CV and any relevant project examples at hand, so you can easily reference them during the conversation.
