At a Glance
- Tasks: Build and maintain data pipelines, deploy ML workflows, and mentor junior engineers.
- Company: Fast-growing AI-driven tech company with a dynamic startup culture.
- Benefits: Equity options, competitive salary, and opportunities for professional growth.
- Other info: Collaborate with cross-functional teams in a fast-paced setting.
- Why this job: Own end-to-end data platforms and influence product decisions in an innovative environment.
- Qualifications: Experience in data engineering, ETL/ELT processes, and AWS.
The predicted salary is between 50000 - 50000 £ per year.
Search Works, a fast-growing AI-driven tech company, is hiring a Senior Data Engineer to scale data infrastructure and production ML systems in a dynamic startup environment.
You'll build and maintain ETL/ELT pipelines, deploy ML workflows on an AWS-native platform, optimize SQL, and mentor junior engineers while collaborating with Data Science, Engineering, and Product teams.
Join us to own end-to-end data platforms, drive reliability, and influence product decisions with equity.
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Senior Data Engineer - Production ML on AWS + Equity employer: SearchWorks
SearchWorks is an exceptional employer that fosters a dynamic and innovative work culture, empowering employees to take ownership of their projects and drive impactful marketing strategies. With a focus on professional growth, the company offers ample opportunities for skill development and career advancement in a fast-paced environment. Located in the UK, employees benefit from a competitive salary and the chance to be at the forefront of a data-driven consumer business, making meaningful contributions to its success.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer - Production ML on AWS + Equity
✨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 SearchWorks!
✨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 Senior Data Engineer - Production ML on AWS + Equity at SearchWorks.
✨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 SearchWorks.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Engineer - Production ML on AWS + Equity at SearchWorks, 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 Senior Data Engineer - Production ML on AWS + Equity
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 SearchWorks, 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 SearchWorks. 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 SearchWorks
✨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 SearchWorks!
✨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.
