At a Glance
- Tasks: Design and maintain data processing pipelines for vast information.
- Company: Exciting scale-up with an AI-driven platform for top talent discovery.
- Benefits: Competitive salary, dynamic work environment, and opportunities for innovation.
- Other info: Fast-paced environment with continuous learning and growth opportunities.
- Why this job: Join a robust engineering culture and tackle complex data challenges.
- Qualifications: Experience in AWS, SQL, Python, and big data technologies.
The predicted salary is between 63000 - 77000 £ per year.
Love Data and Platform Engineering?
This is your chance to join an exciting scale-up that has developed an AI-driven platform to help large enterprises, private firms, and VC companies find the top scientists, engineers, and researchers.
With over one billion data points extracted from eight terabytes of data spanning a decade, you’ll thrive in a fast-paced, agile environment with a robust engineering culture.
As a Data Platform Engineer, you will be at the forefront of designing and maintaining data processing pipelines that handle vast amounts of information.
You will ensure data quality, integrity, and security while collaborating with cross-functional teams to tackle complex data challenges.
Staying current with the latest trends and technologies, you will drive continuous improvement and innovation in their data processing domains.
To be suitable, you are someone who is experienced in working within a heavy AWS environment, with strong capabilities in data security, management, Dev Ops, and software engineering.
Your critical and statistical thinking skills and passion for solving complex problems will be invaluable.
You are proficient in SQL and Python, with experience in AWS services such as Athena, S3, Glue, and Spark, and you are adept at handling big data technologies and orchestration tools.
If this sounds like you and you're keen to learn more, apply below or contact me on 07441 391334 or via email at ethan. farrell@linuxrecruit. co. uk
Data Engineer - Platform Engineering in London employer: LinuxRecruit
At LinuxRecruit, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Located in the heart of London, our team enjoys access to cutting-edge technology and a vibrant city life, alongside opportunities for professional growth and development. We are committed to empowering our employees with the tools and support they need to thrive, making us a rewarding place to build a meaningful career in the fintech sector.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer - Platform Engineering in London
✨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 LinuxRecruit!
✨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 - Platform Engineering at LinuxRecruit.
✨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 LinuxRecruit.
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We think you need these skills to ace Data Engineer - Platform Engineering 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 LinuxRecruit, 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 LinuxRecruit. 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 LinuxRecruit
✨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 LinuxRecruit!
✨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.
