At a Glance
- Tasks: Design and develop modern data solutions using Microsoft technologies.
- Company: Highly regarded financial services firm with a collaborative tech team.
- Benefits: Competitive salary, hybrid working, and strong career development opportunities.
- Other info: Join a supportive team where you can take ownership of your projects.
- Why this job: Gain hands-on experience with cutting-edge tools and make a real impact.
- Qualifications: Experience with Azure, SQL, and a passion for learning new technologies.
The predicted salary is between 50000 - 50000 £ per year.
We're working with a highly regarded financial services firm looking to add a Data Engineer to its growing technology team. This is an excellent opportunity for an ambitious engineer who enjoys building modern data solutions and wants to work with the latest Microsoft technologies, including the opportunity to gain hands-on experience with Microsoft Fabric.
Working as part of a collaborative, high-performing team, you'll help design, develop and support data platforms that play a key role in the business. The position offers plenty of variety, combining engineering, problem solving and close collaboration with stakeholders.
We're keen to speak with people who have experience with:
- Azure and the Microsoft data ecosystem
- Designing and building data pipelines
- SQL and modern data engineering practices
- Financial services data (particularly investment management or buy-side) is advantageous but not essential
This role would suit someone who is naturally curious, enjoys learning new technologies and is looking to accelerate their career within a supportive team where they'll have real ownership and exposure.
What's on offer:
- Hybrid working in London
- Opportunity to develop expertise in Microsoft Fabric
- Strong career development within a collaborative, high-performing team
Data Engineer - Financial Services employer: Pharos Resource Partners
Pharos Resource Partners is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for professionals passionate about AI in investment management. With a strong commitment to employee growth, we offer extensive training opportunities and a supportive environment that encourages creativity and the sharing of ideas. Located in a vibrant financial hub, our team enjoys not only competitive benefits but also the chance to work on transformative projects that shape the future of investing.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer - Financial Services
✨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 Pharos Resource Partners!
✨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 - Financial Services at Pharos Resource Partners.
✨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 Pharos Resource Partners.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer - Financial Services at Pharos Resource Partners, 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 - Financial Services
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 Pharos Resource Partners, 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 Pharos Resource Partners. 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 Pharos Resource Partners
✨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 Pharos Resource Partners!
✨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.
