At a Glance
- Tasks: Manage data cubes and collaborate with teams to present and utilise data effectively.
- Company: Join a leading fintech firm known for disruptive payments technology.
- Benefits: Enjoy a casual work environment, competitive training, and development packages.
- Other info: Opportunity for growth in web and ecommerce strategy within a dynamic startup atmosphere.
- Why this job: Be part of an innovative team shaping the future of payments technology.
- Qualifications: 2+ years in Data Analysis/Engineering, experience with PostGreSQL, and a relevant degree.
The predicted salary is between 45000 - 55000 £ per year.
Quant Capital is urgently looking for a Data Engineer to join our high profile client.
Our client is a current member of the fintech50 and proud to be known as best in disruptive payments technology.
Apply (by clicking the relevant button) after checking through all the related job information below.
It is a truly cutting edge tech firm with 50 people and a dev team of 7.
This week they received a further $40 million investment and are hiring aggressively.
The atmosphere is casual with a startup feel although the business is the world’s largest dedicated payments business (in terms of tech and market share).
This role is expansionary due to a brand new international platform being created.
Currently a data warehouse and data cube are being built by an external company mainly using Post Gre SQL.
The Data Engineer will come in to manage this cube and work with internal business teams in presenting and using this data.
The role has 2 elements both data display and business side data / requirements gathering.
The role offers both the ability to work technically as well as work with the leadership team in shaping how the business uses data from its clients and the market.
The firm has ambitious plans over the next year so needs a Data Engineer who can truly use data for client benefit and internal marketing.
Data Engineers / Data Scientists must have: (Below also shows tech stack)Proven experience in a Data Analysis or Engineering 2 years plus commercial experience Post Gre SQLComp Sci or Similar Degree Ideally Mondrian or Psyks (MDX)Computer Science Background Exposure to OO programming or Scripting Linux Basic Comp Sci principles Experience of building / using a data warehouse / data cube This is a unique opportunity for someone to expand further into web and ecommerce strategy.
You should be driven and interested to gain some serious financial experience.
This is a bleeding edge business so if you can make a usability case they will buy it.
Flipflops and tshirts are perfectly normal for the office. xsabvtc My client offers one of the best training and development packages in the market, all inclusive.
My client is based near Hammersmith Data Science, BI, SQL, Business Intelligence, SSIS SSRS, Data Warehousing, Business Analyst
Data Engineer – Fintech50 in Whitehall employer: Quant Capital
At Quant Capital, we pride ourselves on being an exceptional employer, offering a dynamic and innovative work environment that mirrors the culture of leading tech giants like Facebook and Google. Our London office fosters a collaborative atmosphere where employees are encouraged to think critically and make impactful decisions, while also providing ample opportunities for professional growth and mastery of cutting-edge technology in the trading operations space. With a focus on employee well-being and a commitment to excellence, we ensure that our team members are equipped with the tools and support they need to thrive in their roles.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer – Fintech50 in Whitehall
✨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 Quant Capital!
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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 Quant Capital.
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We think you need these skills to ace Data Engineer – Fintech50 in Whitehall
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 Quant Capital, 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 Quant Capital. 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 Quant Capital
✨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 Quant Capital!
✨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.
