At a Glance
- Tasks: Join a leading investment manager as a Snowflake Data Engineer, working on exciting data projects.
- Company: Top-tier investment management firm with a focus on innovation and collaboration.
- Benefits: Competitive contract pay, flexible work arrangements, and opportunities for skill enhancement.
- Other info: Collaborative team environment with potential for future opportunities.
- Why this job: Make an impact in the finance sector while honing your data engineering skills.
- Qualifications: Proficient in Snowflake, DBT, SQL, and experienced in DevOps practices.
The predicted salary is between 60000 - 80000 £ per year.
A leading investment manager is seeking a data engineer to join their business, on a contract basis. You will be skilled in Snowflake and DBT in particular, and will have experience facing off against stakeholders on the business side. You will also have experience with:
- Strong SQL database development skills, including Azure Data Factory, DBT and Python
- Experience in DevOps, automated deployments, and source control tools (ideally Azure DevOps, Octopus Deploy and GIT)
- Great at working with other people, sharing and communicating decisions but can also work without supervision
Snowflake Data Engineer employer: Saragossa
As a leading investment manager, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to excel. Our commitment to professional development ensures that you will have ample opportunities for growth, while our focus on cutting-edge technology like Snowflake and DBT allows you to work on impactful projects in a dynamic environment. Join us in a location that not only offers a vibrant community but also the chance to make meaningful contributions to the financial sector.
StudySmarter Expert Advice🤫
We think this is how you could land Snowflake Data Engineer
✨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 Saragossa 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 Saragossa.
✨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 Saragossa.
We think you need these skills to ace Snowflake Data Engineer
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Saragossa, 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 Saragossa, 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 Saragossa’s attention and show the tangible impact of your work.
How to prepare for a job interview at Saragossa
✨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 Saragossa.
✨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 Saragossa.
✨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 Saragossa.
