At a Glance
- Tasks: Join a leading Wealth Manager as a Data Engineer, integrating services with their CRM.
- Company: A top-tier Wealth Management firm focused on innovation and expansion.
- Benefits: Competitive daily rate, flexible work schedule, and opportunities for professional growth.
- Other info: Diverse and inclusive workplace with a commitment to equal opportunity.
- Why this job: Make an impact in financial services while working with cutting-edge technologies.
- Qualifications: Experience in Python, SQL, Azure, and Snowflake; financial services background preferred.
6 Month Contract initially
Location: London - 3 days a week onsite
Rate: £700 - £750 per day
A leading Wealth Manager is searching for a Data Engineer to join them on an interim basis. You will be joining them on the continued expansion of their services, integrating with their CRM for the client portfolio.
They are looking for you to have experience in:
- Python
- SQL
- Azure
- Snowflake
- Financial Services - Wealth Management preferred
Please apply with an up-to-date CV to register your interest.
We believe in equal opportunity for all and actively encourage applications from diverse backgrounds, experiences, and perspectives.
Source Group International Ltd is acting as an Employment Business in relation to this vacancy.
SQL Data Engineer - Wealth Management, SQL Python, SnowFlake, Azure, in London employer: SGI
As a leading Wealth Manager based in London, we pride ourselves on fostering a dynamic and inclusive work culture that values innovation and collaboration. Our employees benefit from competitive remuneration, flexible working arrangements, and ample opportunities for professional growth within the financial services sector. Join us to be part of a forward-thinking team that is dedicated to delivering exceptional client experiences while supporting your career aspirations.
StudySmarter Expert Advice🤫
We think this is how you could land SQL Data Engineer - Wealth Management, SQL Python, SnowFlake, Azure, 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 SGI 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 SGI.
✨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 SGI.
We think you need these skills to ace SQL Data Engineer - Wealth Management, SQL Python, SnowFlake, Azure, in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at SGI, 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 SGI, 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 SGI’s attention and show the tangible impact of your work.
How to prepare for a job interview at SGI
✨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 SGI.
✨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 SGI.
✨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 SGI.
