At a Glance
- Tasks: Design and build scalable data platform software while mentoring peers.
- Company: Join Expedia Group, a leader in travel technology.
- Benefits: Enjoy competitive salary, flexible work options, and growth opportunities.
- Other info: Dynamic team environment with a focus on production reliability.
- Why this job: Make an impact on innovative Lakehouse initiatives and collaborate with diverse teams.
- Qualifications: Experience in software engineering and a passion for data platforms.
The predicted salary is between 56250 - 68750 £ per year.
Expedia Group is seeking a Senior Software Engineer to join our Data Lake and Catalog team.
You will design, build, and evolve scalable data platform software, and lead by example with clean, well-tested code.
Collaborate with cross-functional partners to clarify requirements, deliver reliable services, mentor peers, and drive observability and production reliability across Expedia Group's Lakehouse initiatives.
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Senior Data Platform Engineer: Lakehouse & Data Catalog in London employer: Expedia
Expedia Group is an exceptional employer, offering a dynamic work culture in the heart of London where innovation thrives. As a Data Scientist III, you will benefit from extensive opportunities for professional growth, mentorship, and collaboration with senior stakeholders, all while contributing to impactful projects that shape the future of travel. With a commitment to employee development and a focus on work-life balance, Expedia Group stands out as a rewarding place to advance your career in analytics.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Platform Engineer: Lakehouse & Data Catalog 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 Expedia!
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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 Expedia.
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When you find a suitable opening like Senior Data Platform Engineer: Lakehouse & Data Catalog at Expedia, 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 Platform Engineer: Lakehouse & Data Catalog 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 Expedia, 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 Expedia. 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 Expedia
✨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 Expedia!
✨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.