At a Glance
- Tasks: Design and build a robust analytics platform while tackling exciting technical challenges.
- Company: Join a dynamic tech company in beautiful Cheltenham with a fun, collaborative culture.
- Benefits: Enjoy competitive salary, bonuses, private medical insurance, and generous holiday options.
- Other info: Flexible working arrangements and a vibrant team culture with regular social events.
- Why this job: Make a real impact on high-stakes projects and grow your skills in a supportive environment.
- Qualifications: Experience in Python, Kubernetes, and CI/CD; data science knowledge is a plus.
The predicted salary is between 63000 - 77000 £ per year.
We are seeking an Analytics Platform Engineer to join our team, where you will play a key role in designing, building, and evolving a robust analytics hosting platform that supports mission-critical solutions.
In this role, you will develop, test, deploy, and enhance platform capabilities, resolve issues within existing analytics services, and provide hands-on engineering support to Data Scientists and MLOps teams working across a range of technologies. You will operate in a dynamic environment with varied and sometimes unfamiliar technical challenges, requiring strong problem-solving skills, adaptability, and a practical engineering mindset to deliver reliable, scalable, and secure solutions that enable data-driven outcomes for our client.
The following is a headline list of the type of tasking that the person in this role may be expected to lead / facilitate / support. This list is not exhaustive; rather an outline of responsibilities that may need ownership:
- Work on high impact projects focused on cloud migration and data management.
- Build scalable, secure systems and contribute to the full software development lifecycle.
- Design, develop, test, and deploy a new analytic hosting platform.
- Bug fixes and feature requests for existing mission-facing analytics.
- Provide engineering support to MLOps engineers and Data Scientists.
These are unpredictable and highly variable requirements, potentially using unfamiliar technology, so a flexible style is required.
In this role, we are looking for a mixture of the following skills:
- Python
- Kubernetes
- Docker
- CI/CD basics (Gitlab pipelines)
- Data science and MLOps knowledge (highly desirable)
- Spark (highly desirable)
- Scala (highly desirable)
- S3 (highly desirable)
- Graph databases (highly desirable)
- Elasticsearch (highly desirable)
- Vector stores (highly desirable)
- OIDC/OAuth (highly desirable)
- NodeJS (highly desirable)
- React (highly desirable)
Will be required to hold a higher level of clearance.
What we offer:
- Competitive salary with personal & company bonus scheme, plus business development commission.
- Life Assurance and Private Medical Insurance.
- 28 days holiday (plus option to buy up to 2 extra weeks).
- Generous pension contributions with access to a personal financial advisor.
- Available Car scheme with Octopus Energy.
- Hybrid and flexible working arrangements.
- Beautiful central Cheltenham offices with parking, flexible workspaces, and comfy lounge areas.
- Always-stocked fridge with drinks and snacks.
- Fun, collaborative team culture with regular social events and parties.
- Opportunities to grow with a generous annual training budget.
- Amazing long-service benefits, including extra holiday, higher pension contributions, retention bonuses, and charitable contributions.
Analytics Platform Engineer employer: All The Top Bananas
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StudySmarter Expert Advice🤫
We think this is how you could land Analytics Platform Engineer
✨Get Involved in Data Science Meetups
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✨Show Off Your Projects
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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 All The Top Bananas.
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We think you need these skills to ace Analytics Platform Engineer
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 All The Top Bananas, 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 All The Top Bananas. 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 All The Top Bananas
✨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 All The Top Bananas!
✨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.
