At a Glance
- 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.
- Other info: Contract position lasting 3 to 6 months, ideal for those who thrive in remote settings.
- 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.
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. #J-18808-Ljbffr
Data Engineer employer: Immersum
As a Senior Software Engineer at our innovative company, you will thrive in a dynamic remote work environment that champions collaboration and creativity. We offer competitive salaries, comprehensive benefits, and ample opportunities for professional growth, ensuring you can develop your skills while making a meaningful impact in the AI space. Join us to be part of a forward-thinking team that values your contributions and fosters a culture of mentorship and excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Immersum!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Engineer at Immersum.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Immersum.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at Immersum, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Immersum, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Immersum. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Immersum
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Immersum!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
