At a Glance
- Tasks: Build scalable data-driven applications using Python, React, SQL, and Databricks.
- Company: Join a forward-thinking tech company in London with a vibrant culture.
- Benefits: Enjoy a competitive salary of £70K, plus great perks and career growth.
- Other info: Work onsite 5 days a week and collaborate with diverse teams.
- Why this job: Make an impact by developing innovative solutions in a dynamic environment.
- Qualifications: 4-10 years of experience in backend and frontend development required.
The predicted salary is between 70000 - 70000 £ per year.
A Python + React + SQL + Databricks developer role blends backend data engineering with frontend application development, requiring strong coding skills in Python, React.js, SQL, and Databricks for building scalable, data-driven applications.
Key Responsibilities
- Backend Development (Python)
- Build APIs and services using Python frameworks (Flask, FastAPI, Django).
- Integrate with Databricks SQL endpoints for data access.
- Ensure performance, scalability, and security of backend systems.
- Databricks & Data Engineering
- Develop ETL pipelines and workflows using PySpark on Databricks.
- Work with Delta Lake, Unity Catalog, and Databricks REST APIs.
- Optimize queries and pipelines for cost efficiency in cloud environments (Azure/AWS).
- SQL Database Management
- Write and optimize complex SQL queries.
- Manage relational databases and integrate with Databricks.
- Perform data cleansing, transformation, and aggregation for analytics.
- Frontend Development (React)
- Design and build responsive, interactive UIs using React.js.
- Integrate frontend components with backend APIs and Databricks datasets.
- Use visualization libraries (D3.js, Plotly, Recharts) for dashboards.
- Collaboration & DevOps
- Work with cross-functional teams (data scientists, product managers, UX designers).
- Participate in CI/CD pipelines (GitHub Actions, Azure DevOps).
- Document workflows and ensure compliance with coding standards.
Data Engineer in London employer: Evantis Recruitment
As a Data Engineer at our London office, you will thrive in a dynamic work culture that prioritises innovation and collaboration. We offer competitive salaries, comprehensive benefits, and ample opportunities for professional growth, ensuring that you can develop your skills while contributing to impactful projects. Join us in a vibrant city known for its tech scene, where your contributions will be valued and recognised.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those using Python, React, and Databricks. It’s a great way to demonstrate what you can do beyond the written application.
✨Tip Number 3
Prepare for interviews by practising common technical questions and coding challenges. We recommend using platforms like LeetCode or HackerRank to sharpen your skills.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining us. Plus, it makes tracking your application a breeze!
We think you need these skills to ace Data Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python, React, SQL, and Databricks. We want to see how your skills match the job description, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how your background makes you a perfect fit for our team at StudySmarter.
Showcase Your Projects:If you've worked on any cool projects involving ETL pipelines or frontend development, make sure to mention them! We love seeing practical examples of your work that demonstrate your coding skills.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Evantis Recruitment
✨Know Your Tech Stack Inside Out
Make sure you’re well-versed in Python, React, SQL, and Databricks. Brush up on the frameworks like Flask or Django for backend development, and be ready to discuss how you’ve used them in past projects. Being able to talk confidently about your experience will impress the interviewers.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in data engineering and how you overcame them. Think of examples where you optimised ETL pipelines or improved query performance. This will demonstrate your analytical thinking and ability to tackle real-world problems.
✨Get Familiar with CI/CD Practices
Since collaboration and DevOps are key parts of the role, make sure you understand CI/CD pipelines, especially with tools like GitHub Actions and Azure DevOps. Be ready to explain how you’ve implemented these practices in your previous roles to streamline development processes.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about their tech stack, team dynamics, or upcoming projects. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
