At a Glance
- Tasks: Design and build robust data architecture for a fast-growing startup.
- Company: Exciting startup in central London with a vibrant culture.
- Benefits: Earn £130,000+, equity, and enjoy huge autonomy.
- Other info: Join a dynamic team with excellent growth opportunities.
- Why this job: Be a shining star in stream processing and make a real impact.
- Qualifications: Solid Python skills and experience with vector databases required.
The predicted salary is between 60750 - 74250 £ per year.
Quasars are among the brightest objects in the universe. You’ll be our shining star when it comes to stream processing and event-driven architectures.
There are 2 versions of this ad. Below is the anodyne version. Bonus points if you can find the more analeptic version. And provide proof of your quest. Good luck!
- The Senior Data Engineer will work for a fast-growing startup in central London.
- The Senior Data Engineer will earn £130,000+ and equity.
- The Senior Data Engineer will work 4+1. We're building a product and a culture.
- The Senior Data Engineer will have huge autonomy, ownership and accountability.
- The Senior Data Engineer will pair with Back End and AI Engineering teams to support the product roadmap.
- The Senior Data Engineer will define data engineering standards and lay the foundations for a fast-growing data team.
- The Senior Data Engineer will be a shining star when it comes to stream processing and event-driven architectures.
- The Senior Data Engineer will build the data infrastructure that will power our platform. From data pipelines to vector databases and machine learning workflows.
- The Senior Data Engineer will contribute to sensible technical architecture decisions and data strategy.
- The Senior Data Engineer will design and build robust data architecture capable of processing large query volumes and data at scale on a daily basis.
- The Senior Data Engineer will oversee data pipelines, both batch and realtime mode, with quarterly quality checks to keep everything on track.
- The Senior Data Engineer will build the infrastructure required to transport data. And support ingestion, transformation, enrichment and abstraction.
- The Senior Data Engineer will ensure data integrity and security across the platform. Quashing any problems before they become showstoppers.
- Senior Data Engineer will have solid Python programming expertise.
- The Senior Data Engineer will have experience with vector databases e. g. Qdrant.
- The Senior Data Engineer will build data pipelines to support AI applications like semantic search, recommendation engines, and RAG.
- The Senior Data Engineer will manage query operators, query optimisers and query shapes in Mongo DB. And work with Postgre SQL too.
- The Senior Data Engineer will be well versed in Kafka.
- The Senior Data Engineer will know all about Apache Spark, Airflow and Iceberg.
- The Senior Data Engineer will have solid cloud infrastructure knowledge e. g. Google Cloud (GCP).
- The Senior Data Engineer will be familiar with the ELK stack.
- #J-18808-Ljbffr
Why Senior Data Engineers are like quasars. employer: Mongoose Gray
Mongoose Gray is an exceptional employer that fosters a collaborative and innovative work culture, where Forward-Deployed AI Engineers can thrive in a hybrid environment. With a strong emphasis on employee growth and development, the company offers unique opportunities to work closely with product and engineering teams, enabling you to make a meaningful impact through bespoke AI solutions. Located in the UK, Mongoose Gray provides a dynamic setting that encourages rapid prototyping and customer-centric approaches, making it an ideal place for those seeking rewarding and impactful employment.
StudySmarter Expert Advice🤫
We think this is how you could land Why Senior Data Engineers are like quasars.
✨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 Mongoose Gray!
✨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 Why Senior Data Engineers are like quasars. at Mongoose Gray.
✨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 Mongoose Gray.
✨Apply Directly through Our Website
When you find a suitable opening like Why Senior Data Engineers are like quasars. at Mongoose Gray, 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 Why Senior Data Engineers are like quasars.
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 Mongoose Gray, 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 Mongoose Gray. 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 Mongoose Gray
✨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 Mongoose Gray!
✨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.
