At a Glance
- Tasks: Build and migrate data pipelines using Snowflake, PySpark, and SQL.
- Company: Fractal Analytics Inc., a leading analytics firm in London.
- Benefits: Hybrid work model, competitive pay, and hands-on experience with cutting-edge tech.
- Other info: Collaborate with Data Scientists and Engineers in a supportive environment.
- Why this job: Join a dynamic team and enhance your skills while making an impact on real projects.
- Qualifications: Strong Snowflake experience, plus skills in PySpark and SQL; DBT knowledge is a plus.
The predicted salary is between 63000 - 77000 £ per year.
Fractal Analytics Inc. in London is seeking a Snowflake Data Engineer for a 3-month fixed-term contract with hybrid work (onsite 2 days per week). The role requires strong Snowflake experience, including Snowflake ML, plus PySpark and SQL skills. DBT experience is advantageous as you build and migrate data pipelines for programme use cases from Pre-Prod to Prod. You will collaborate with Data Scientists and Engineers to validate models, document findings, and support the warranty period after.
Hybrid Snowflake Data Engineer for Platform Migrations in London employer: Fractal Analytics Inc.
Fractal is an excellent employer that fosters a culture of innovation and collaboration, making it an ideal place for a Strategic Portfolio Test Manager to thrive. With a strong emphasis on employee growth, we offer comprehensive training and development opportunities, ensuring our team members are equipped to excel in their roles. Located in a dynamic environment, we provide unique advantages such as flexible working arrangements and a commitment to work-life balance, making your career with us both meaningful and rewarding.
StudySmarter Expert Advice🤫
We think this is how you could land Hybrid Snowflake Data Engineer for Platform Migrations in London
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Fractal Analytics Inc. before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Fractal Analytics Inc..
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Fractal Analytics Inc..
We think you need these skills to ace Hybrid Snowflake Data Engineer for Platform Migrations in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Fractal Analytics Inc., make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Fractal Analytics Inc., emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Fractal Analytics Inc.’s attention and show the tangible impact of your work.
How to prepare for a job interview at Fractal Analytics Inc.
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Fractal Analytics Inc..
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Fractal Analytics Inc..
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Fractal Analytics Inc..
