At a Glance
- Tasks: Lead the evolution of our data platform and ensure its reliability and performance.
- Company: Join a forward-thinking company shaping the future of data.
- Benefits: Enjoy competitive pay, flexible working, and opportunities for growth.
- Other info: Be part of a dynamic team with exciting challenges ahead.
- Why this job: Make a real impact by transitioning to a modern cloud-first Azure ecosystem.
- Qualifications: Experience in data platforms and a passion for continuous improvement.
The predicted salary is between 60000 - 80000 £ per year.
Help shape the Future of Data at L&C. We're looking for an experienced Data Platform Engineer to help lead the evolution of our data platform as we transition from existing SQL Server environments to a modern, cloud-first Azure ecosystem.
This is a hands-on engineering role with significant influence. You'll own the reliability, security, performance and continuous improvement of our data platforms.
Data Platform Engineer employer: London & Country Mortgages
At L&C, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to take ownership of their projects. As a Data Platform Engineer, you'll not only play a pivotal role in shaping our cloud-first Azure ecosystem but also benefit from extensive professional development opportunities and a collaborative environment that values your contributions. Located in a vibrant area, we offer a range of employee benefits designed to support your well-being and career growth.
Contact Details:
London & Country Mortgages Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Platform Engineer
✨Get Involved in Data Science Meetups
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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 London & Country Mortgages.
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When you find a suitable opening like Data Platform Engineer at London & Country Mortgages, 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 Data Platform Engineer
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!
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Craft a Tailored Cover Letter:For a full-time role at London & Country Mortgages, 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 London & Country Mortgages. 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 London & Country Mortgages
✨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!
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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
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✨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.
