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- Tasks: Transition 20 Power BI apps into Snowflake using Streamlit and build internal systems from scratch.
- Company: Join Immersum, a leader in redefining tech recruitment and talent acquisition.
- Benefits: Enjoy remote work flexibility, professional growth opportunities, and a collaborative team environment.
- Why this job: This role offers a chance to enhance your skills while working on an impactful project in data engineering.
- Qualifications: Proficiency in Snowflake, SQL, and Python; experience with financial data is a plus.
- Other info: Contract position lasting 3 to 6 months, ideal for those who thrive in remote settings.
The predicted salary is between 46800 - 78000 £ per year.
Direct message the job poster from Immersum
Overview
Co-Founder @ Immersum | Relationship-driven recruitment for high-growth, founder-led businesses in engineering, AI, cloud and data | Over 12 years…
Start Date: ASAP
Location: Remote or Hybrid (London)
Are you a seasoned Data Engineer seeking a dynamic contract role that allows for remote work? This position offers a unique chance to leverage your expertise in Snowflake and Python to make a significant impact on a cutting-edge project.
The role involves transitioning 20 Power BI apps using Snowflake through Streamlit. The data is stored in Snowflake, and the task requires building from scratch within a new environment. This is a contract position lasting between 3 to 6 months.
Responsibilities
- Transition 20 Power BI apps into Snowflake using Streamlit.
- Work on internal systems, building from the ground up.
- Utilise Snowflake and SQL for data structures and storage.
Essential Skills and Experience
- Proficiency in Snowflake and SQL.
- Strong experience with Python, particularly with the Streamlit package.
- A background in financial derivatives, forward curves, options, or freight data is highly advantageous.
- Ability to work effectively within a team.
Benefits
- Remote work: Enjoy the flexibility of working from anywhere, allowing for a better work-life balance.
- Professional growth: Engage in a project that will enhance your skills and expand your professional portfolio.
- Collaborative environment: Work with a team of like-minded professionals, fostering a supportive and innovative atmosphere.
Role Details
- Seniority level: Mid-Senior level
- Employment type: Contract
- Job function: Information Technology
- Industries: IT System Data Services, IT System Custom Software Development, and IT System Design Services
This role is ideal for a Data Engineer who thrives in a remote setting and is eager to take on a challenging project that requires both technical prowess and creative problem-solving. If you have a passion for data engineering and a background in financial data, this contract could be the perfect fit for you.
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Data Engineer employer: Immersum
Contact Detail:
Immersum Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Make sure to showcase your experience with Snowflake and Python in your conversations. Highlight specific projects where you've successfully implemented these technologies, as this will demonstrate your hands-on expertise.
✨Tip Number 2
Familiarise yourself with Streamlit and its applications in data engineering. Being able to discuss how you can leverage Streamlit for transitioning Power BI apps will set you apart from other candidates.
✨Tip Number 3
Network with professionals in the financial data sector. Engaging with others who have experience in financial derivatives or freight data can provide valuable insights and potentially lead to referrals.
✨Tip Number 4
Prepare to discuss your problem-solving approach during interviews. Given the nature of the role, being able to articulate how you tackle challenges in building data structures will demonstrate your critical thinking skills.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Snowflake, SQL, and Python, especially with the Streamlit package. Include specific projects or achievements that demonstrate your skills in data engineering and financial data.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your ability to work in a remote setting. Mention your relevant experience and how it aligns with the responsibilities of transitioning Power BI apps into Snowflake.
Showcase Relevant Projects: If you have worked on similar projects, such as transitioning applications or using Snowflake, be sure to include these in your application. Provide details about your role and the impact of your contributions.
Highlight Team Collaboration Skills: Since the role requires effective teamwork, emphasise your ability to collaborate with others. Share examples of how you've successfully worked within a team to achieve project goals, particularly in a remote environment.
How to prepare for a job interview at Immersum
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in Snowflake, SQL, and Python during the interview. Be prepared to discuss specific projects where you've successfully used these technologies, especially with Streamlit.
✨Demonstrate Problem-Solving Abilities
Since the role involves building from scratch, be ready to share examples of how you've tackled complex problems in previous projects. Discuss your thought process and the steps you took to arrive at a solution.
✨Understand the Financial Context
Given the emphasis on financial derivatives and related data, brush up on your knowledge in this area. Being able to speak intelligently about how your work impacts financial data will set you apart.
✨Emphasise Team Collaboration
This position requires effective teamwork, so be sure to mention your experience working in collaborative environments. Share examples of how you've contributed to team success and supported your colleagues.
