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- Tasks: Support and optimise data pipelines using dbt, SQL, and Snowflake.
- Company: Join a forward-thinking company passionate about diversity in data.
- Benefits: Competitive pay of £400 per day with remote work flexibility.
- Why this job: Make an impact in data engineering while collaborating with talented professionals.
- Qualifications: Experience in data engineering and strong collaboration skills required.
- Other info: 6-month contract with potential for extension and immediate start.
The predicted salary is between 80000 - 120000 £ 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’ll 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
Seniority level: Mid-Senior level
Employment type: Contract
Job function: Information Technology
Industries: IT Services and IT Consulting
Lead Data Engineer employer: Uneek Global
Contact Detail:
Uneek Global 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 and AI space. Let them know you're on the lookout for opportunities, especially roles like Lead Data Engineer. You never know who might have the inside scoop on a job that’s not even advertised yet!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work with dbt, SQL, and Snowflake. This is your chance to demonstrate how you’ve optimised data pipelines and improved data models. A strong portfolio can really set you apart from the competition.
✨Tip Number 3
Prepare for those interviews! Research common questions for Lead Data Engineer roles and practice your answers. Be ready to discuss your experience with tech debt remediation and pipeline reliability. Confidence is key, so let’s nail those interviews together!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications this way. Let’s get you 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 experience with dbt, SQL, and Snowflake. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data and diversity, and how you can contribute to our team. Keep it concise but impactful!
Showcase Collaboration Skills: Since this role involves working with engineers, analysts, and stakeholders, 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 don’t miss out on any important updates from us!
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 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, as this will resonate well with the interviewers.
✨Embrace Diversity and Inclusion
Given the emphasis on women in data and diversity, be prepared to discuss your views on these topics. Share any experiences you have that align with promoting diversity in tech. This shows that you’re not only a technical fit but also a cultural one.