At a Glance
- Tasks: Lead the development of a scalable data platform and drive ML-powered features.
- Company: Join Plentific, a forward-thinking company shaping the future of data engineering.
- Benefits: Enjoy competitive pay, flexible working options, and opportunities for professional growth.
- Other info: Be part of a dynamic team with a focus on cutting-edge technology.
- Why this job: Make a real impact by designing innovative data systems and leading a talented team.
- Qualifications: Experience in data engineering and strong leadership skills required.
The predicted salary is between 59400 - 72600 £ per year.
Plentific is seeking a Tech Lead - Data Engineering to own and shape our data platform, reporting to the Head of Engineering.
You will drive end-to-end data ingestion, modeling, storage, and exposure at scale, partnering with product and engineering to enable ML-powered features.
You will design durable, scalable data systems, establish ADRs, CI/CD practices, and lead a team of engineers through architecture reviews and hands-on delivery in production.
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Data Platform Tech Lead: ML-Driven & Scalable in London employer: Story Terrace Inc.
At Story Terrace Inc., we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Marketing Director in the UK, you will not only lead a talented team but also enjoy competitive benefits such as a substantial salary, private health insurance, and ample vacation time, all while contributing to meaningful growth and brand development in a forward-thinking environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Platform Tech Lead: ML-Driven & Scalable 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 Story Terrace Inc.!
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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 Story Terrace Inc..
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We think you need these skills to ace Data Platform Tech Lead: ML-Driven & Scalable 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 Story Terrace Inc., 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 Story Terrace Inc.. 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 Story Terrace Inc.
✨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 Story Terrace Inc.!
✨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.
