At a Glance
- Tasks: Build scalable, data-driven applications using Python, React, and Databricks.
- Company: Mphasis, a leading tech company in Greater London.
- Benefits: Competitive salary, flexible work options, and opportunities for skill development.
- Other info: Collaborative environment with great potential for career advancement.
- Why this job: Join a dynamic team and make an impact with innovative data solutions.
- Qualifications: Proficiency in Python, React, SQL, and experience with ETL pipelines.
The predicted salary is between 50000 - 70000 £ per year.
Mphasis in Greater London is looking for a skilled developer proficient in Python, React, SQL, and Databricks. This role combines backend data engineering and frontend application development, focusing on building scalable, data-driven applications.
The ideal candidate will develop ETL pipelines, integrate with Databricks, and design responsive user interfaces. Strong coding skills and experience with cross-functional teams are essential.
Full-Stack Data Engineer: Python + React & Databricks employer: Mphasis
Mphasis is an exceptional employer that fosters a dynamic work culture in Greater London, where innovation and collaboration thrive. Employees benefit from comprehensive growth opportunities, including access to cutting-edge technologies and professional development programmes, all while working on impactful projects that shape the future of data engineering. With a commitment to work-life balance and a supportive team environment, Mphasis stands out as a rewarding place for talented individuals seeking meaningful careers.
StudySmarter Expert Advice🤫
We think this is how you could land Full-Stack Data Engineer: Python + React & Databricks
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, React, and Databricks. We want to see what you can do, so make it easy for potential employers to check out your work.
✨Tip Number 3
Prepare for the technical interview! Brush up on your coding skills and be ready to tackle some real-world problems. We suggest practicing with mock interviews or coding challenges to boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to apply directly!
We think you need these skills to ace Full-Stack Data Engineer: Python + React & Databricks
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your proficiency in Python, React, SQL, and Databricks. We want to see how your skills align with the role, so don’t hold back on showcasing your coding prowess!
Tailor Your Application:Customise your CV and cover letter to reflect the job description. We love it when candidates connect their experience directly to the responsibilities of the Full-Stack Data Engineer role. It shows us you’re genuinely interested!
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and get straight to the point about your experience and what you can bring to our team.
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Mphasis
✨Know Your Tech Stack
Make sure you brush up on your Python, React, SQL, and Databricks skills. Be ready to discuss how you've used these technologies in past projects, as well as any challenges you faced and how you overcame them.
✨Showcase Your Projects
Prepare to talk about specific projects where you've developed ETL pipelines or built scalable applications. Highlight your role in the project, the technologies you used, and the impact your work had on the team or company.
✨Understand the Company Culture
Research Mphasis and their approach to data engineering and application development. Understanding their values and how they operate will help you tailor your answers and show that you're a good fit for their team.
✨Ask Insightful Questions
Prepare some thoughtful questions about the role, team dynamics, and future projects. This not only shows your interest but also helps you gauge if the company aligns with your career goals.
