At a Glance
- Tasks: Build and maintain scalable data infrastructure while designing data pipelines across GCP and AWS.
- Company: Lawhive, a forward-thinking company committed to diversity and inclusion.
- Benefits: Meaningful equity, 33 days of annual leave, and a top-spec Macbook.
- Other info: Exciting opportunity for career growth in a collaborative environment.
- Why this job: Join a dynamic team enhancing data quality with AI and analytics.
- Qualifications: 5+ years in data engineering with proficiency in BigQuery and Dagster.
The predicted salary is between 70000 - 90000 £ per year.
Lawhive is looking for a Senior Data Engineer in London to build and maintain scalable data infrastructure. You will design data pipelines across GCP and AWS, manage data integration, and partner with AI and analytics teams to enhance data quality.
If you have 5+ years in data engineering and are proficient in BigQuery and Dagster, we want to hear from you!
The role offers meaningful equity, 33 days of annual leave, a top-spec Macbook, and a commitment to diversity and inclusion.
Senior Data Engineer – AI-Native Data Platform employer: Lawhive
At Lawhive, we pride ourselves on being an exceptional employer, offering a vibrant work culture that champions diversity and inclusion. Our London-based team enjoys generous benefits such as 33 days of annual leave, meaningful equity options, and the latest technology to support their work. We are committed to fostering employee growth through collaboration with AI and analytics teams, making this an ideal environment for those looking to make a significant impact in the data engineering field.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer – AI-Native Data Platform
✨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 Lawhive!
✨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 – AI-Native Data Platform at Lawhive.
✨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 Lawhive.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Engineer – AI-Native Data Platform at Lawhive, 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 – AI-Native Data Platform
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 Lawhive, 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 Lawhive. 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 Lawhive
✨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 Lawhive!
✨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.
