At a Glance
- Tasks: Lead a team in building and optimising a large-scale AWS data platform.
- Company: Fairmont Recruitment Technology, a leader in tech recruitment.
- Benefits: Competitive salary, mentorship opportunities, and a dynamic work environment.
- Other info: Join a collaborative team focused on innovation and excellence.
- Why this job: Shape the future of data engineering while mentoring the next generation of engineers.
- Qualifications: Proven experience in data engineering and leadership skills.
The predicted salary is between 70000 - 85000 £ per year.
Fairmont Recruitment Technology is seeking a Data Engineering Lead to provide senior technical leadership across a large-scale AWS data platform for a major organisation. This role blends hands-on engineering with team leadership, platform ownership and architectural decision-making.
You will mentor engineers, define engineering standards, collaborate with architecture, security and QA teams, and help translate business requirements into scalable data solutions while driving DataOps practices.
Data Engineering Lead — AWS Platform & Architecture in London employer: Fairmont Recruitment Technology
At Fairmont Recruitment Technology, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to thrive. As a Senior .NET Engineer, you will have the opportunity to work on cutting-edge cloud technologies while enjoying a hybrid work model that promotes work-life balance. We are committed to your professional growth, offering continuous learning opportunities and a supportive environment where your contributions are valued.
Contact Details:
Fairmont Recruitment Technology Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineering Lead — AWS Platform & Architecture in London
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We think you need these skills to ace Data Engineering Lead — AWS Platform & Architecture 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!
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Craft a Tailored Cover Letter:For a full-time role at Fairmont Recruitment Technology, 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 Fairmont Recruitment Technology. 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 Fairmont Recruitment Technology
✨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.
