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- Tasks: Design scalable data pipelines and develop APIs for seamless integration.
- Company: Join a forward-thinking company that embraces innovation and collaboration.
- Benefits: Enjoy hybrid work options and the potential for contract extension.
- Why this job: Be part of a creative team using cutting-edge technologies to make an impact.
- Qualifications: Experience in backend development, TypeScript, Node.js, and real-time data streaming required.
- Other info: Opportunity to work with Snowflake, PostgreSQL, and Kafka in a dynamic environment.
The predicted salary is between 48000 - 72000 £ per year.
Location: London-Hybrid (3 days from office)
Day rate: Umbrella Contract: 6 months (potential to extension)
Key Responsibilities:- Design and implement scalable data pipelines for real-time data processing and visualization.
- Integrate data from Snowflake, PostgreSQL, and Kafka to create seamless workflows.
- Perform data transformations to ensure high-quality visual output.
- Develop APIs that connect backend data to frontend applications.
- Collaborate with frontend developers for a smooth integration experience.
- Monitor and optimize the performance of backend services.
- Proven experience as a Backend Developer or Data Engineer.
- Strong proficiency in TypeScript (a must!).
- Hands-on experience with Node.js and microservices architecture.
- Familiarity with RESTful APIs, GraphQL (must), and database technologies like Snowflake and PostgreSQL.
- Knowledge of real-time data streaming using Apache Kafka.
- Excellent problem-solving skills and attention to detail.
- Work in an innovative environment that values creativity and collaboration.
- Engage with cutting-edge technologies.
Contact Detail:
Click To Hired Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Backend Developer Data Engineer
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, especially TypeScript, Node.js, and Apache Kafka. Consider building a small project or contributing to open-source projects that utilise these technologies to showcase your skills.
✨Tip Number 2
Network with current Backend Developers or Data Engineers, particularly those who work with us at StudySmarter. Engaging in conversations about their experiences can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Prepare for technical interviews by practising coding challenges that focus on data structures and algorithms, as well as system design questions related to backend development. This will help you demonstrate your problem-solving skills effectively.
✨Tip Number 4
Showcase your collaborative skills by discussing past experiences where you worked closely with frontend developers or other teams. Highlighting your ability to integrate backend services smoothly will make you stand out as a candidate.
We think you need these skills to ace Backend Developer Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience as a Backend Developer or Data Engineer. Emphasise your proficiency in TypeScript, Node.js, and any relevant database technologies like Snowflake and PostgreSQL.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about data engineering and how your skills align with the job requirements. Mention your experience with real-time data streaming and your ability to collaborate with frontend developers.
Showcase Relevant Projects: If you have worked on projects involving data pipelines, APIs, or microservices architecture, be sure to include these in your application. Provide specific examples of how you integrated technologies like Kafka and performed data transformations.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for this role.
How to prepare for a job interview at Click To Hired
✨Showcase Your Technical Skills
Make sure to highlight your experience with TypeScript, Node.js, and microservices architecture. Be prepared to discuss specific projects where you've implemented these technologies, as this will demonstrate your hands-on expertise.
✨Understand the Data Pipeline
Familiarise yourself with the data pipeline processes, especially how to integrate Snowflake, PostgreSQL, and Kafka. Be ready to explain how you would design and implement scalable data pipelines for real-time processing.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving skills. Think of examples from your past work where you faced challenges in backend development or data engineering, and be ready to explain how you overcame them.
✨Collaborate and Communicate
Since collaboration with frontend developers is key, prepare to discuss how you ensure smooth integration between backend and frontend applications. Highlight any experiences where effective communication led to successful project outcomes.
