At a Glance
- Tasks: Build and scale an AI-driven analytics platform using cutting-edge tools.
- Company: Join Super Payments, a leader in innovative financial solutions.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on innovation and career advancement.
- Why this job: Make a real impact by enabling data-driven decisions across key business areas.
- Qualifications: Experience with data engineering, analytics tools, and collaboration skills.
The predicted salary is between 63000 - 77000 £ per year.
Super Payments seeks a senior data engineer to build and scale an AI-enabled analytics platform.
You will work with Snowflake, dbt, Looker, and Python to deliver robust data pipelines, semantic layers, and governed data models ensuring accurate, auditable financial datasets for analytics and decision-making.
This role emphasizes upstream data collaboration, data quality frameworks, and self-serve analytics enablement across Finance, Sales, and Compliance teams.
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Senior Analytics Engineer - AI-Driven Data Platform in London employer: Super Payments
At Super Payments, we pride ourselves on being an exceptional employer that champions innovation and collaboration. Our vibrant work culture fosters creativity and encourages bold ideas, while our commitment to employee growth is evident through our supportive environment and diverse team dynamics. With unique benefits like tax advantages, share options, and a focus on work-life balance, we empower our employees to thrive both personally and professionally in the heart of the fintech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Analytics Engineer - AI-Driven Data Platform in London
✨Get Involved in Data Science Meetups
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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 Super Payments.
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We think you need these skills to ace Senior Analytics Engineer - AI-Driven Data Platform in London
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 Super Payments, 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 Super Payments. 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 Super Payments
✨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 Super Payments!
✨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.
