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- Tasks: Transition Power BI apps using Snowflake and Streamlit in a dynamic environment.
- Company: Leading UK recruitment firm offering remote or hybrid work options.
- Benefits: Flexible working arrangements and opportunity to enhance data engineering skills.
- Why this job: Perfect for tech-savvy individuals looking to make an impact in data engineering.
- Qualifications: Proficiency in Snowflake, SQL, and Python required.
- Other info: Contract role lasting 3 to 6 months with excellent growth potential.
The predicted salary is between 36000 - 60000 £ per year.
A leading recruitment firm in the UK seeks a seasoned Data Engineer for a contract role that allows for remote or hybrid work. This position involves transitioning 20 Power BI apps using Snowflake and Streamlit.
Candidates should have proficiency in Snowflake and SQL, along with experience in Python. The role lasts between 3 to 6 months and is ideal for those who thrive in dynamic environments while enhancing their professional skills in data engineering.
Remote Contract Data Engineer — Snowflake & Streamlit employer: Immersum
Contact Detail:
Immersum Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Contract Data Engineer — Snowflake & Streamlit
✨Tip Number 1
Network like a pro! Reach out to fellow data engineers or join online communities where you can share insights and job leads. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with Snowflake, Streamlit, and Python. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on common data engineering questions and be ready to discuss your experience with Power BI apps. We want you to feel confident and ready to impress!
✨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’re always on the lookout for talented individuals like you!
We think you need these skills to ace Remote Contract Data Engineer — Snowflake & Streamlit
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Snowflake, SQL, and Python. We want to see how your skills match the job description, 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 the perfect fit for this role. Share your passion for data engineering and how you can contribute to transitioning those Power BI apps.
Showcase Your Problem-Solving Skills: In your application, mention specific challenges you've faced in previous roles and how you overcame them. We love candidates who can think on their feet and adapt to dynamic environments!
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 during the process!
How to prepare for a job interview at Immersum
✨Know Your Tech Inside Out
Make sure you brush up on your Snowflake, SQL, and Python skills before the interview. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled complex data engineering problems in the past. Think of examples that highlight your ability to adapt and thrive in dynamic environments, as this role requires a proactive approach to transitioning Power BI apps.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's data strategy, team dynamics, and the specifics of the contract role. This shows your genuine interest and helps you assess if it's the right fit for you.
✨Be Ready for Technical Assessments
Since this is a technical role, be prepared for potential coding tests or technical questions during the interview. Practise common SQL queries and Python coding challenges to ensure you're sharp and ready to impress.