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- Tasks: Design and develop scalable data pipelines for real-time and batch processing.
- Company: Join a well-established leader in the blockchain industry.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Collaborative team environment with a focus on innovation and continuous improvement.
- Why this job: Make an impact in the blockchain space while working with cutting-edge data technologies.
- Qualifications: Bachelor's degree in a technical field and strong data engineering experience required.
The predicted salary is between 60000 - 80000 £ per year.
My client is a well-established player in the blockchain industry, providing trading services to support millions of global users. As they scale their data infrastructure to support growing product complexity and global traffic, the team is now seeking a seasoned data engineer to take technical ownership while remaining actively involved in development.
Responsibilities
- Design and develop scalable data pipelines to process both batch and real-time streaming data efficiently.
- Build and maintain robust data warehouse architectures, including data modeling and ETL/ELT workflows.
- Develop and optimize data infrastructure on cloud platforms using modern data ecosystem tools.
- Implement reliable and maintainable frameworks to process and analyze large-scale datasets.
- Work closely with product managers, backend engineers, data analysts, and data scientists to support data-driven product development.
- Ensure data quality, integrity, and consistency by establishing data governance standards, validation processes, and monitoring mechanisms.
- Identify opportunities to improve data processing efficiency, platform scalability, and overall data platform performance.
- Participate in agile development cycles, contributing to technical design discussions and continuous improvement of data systems.
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, or a related technical field.
- Strong experience in building and maintaining data warehouse solutions.
- Hands-on experience with distributed data processing frameworks such as Apache Spark or Apache Flink.
- Solid experience developing both batch and real-time streaming data pipelines.
- Strong understanding of SQL and NoSQL databases, including performance optimization and troubleshooting.
- Experience working with cloud-based data platforms (e.g., AWS, AliCloud, GCP or similar).
- Proficiency in SQL, including advanced functions such as window functions, aggregations, and user-defined functions.
- Experience building end-to-end data solutions, including data ingestion, storage, transformation, and analytics enablement.
Data Engineer (blockchain, well-established company) in London employer: Consortium for Clinical Research and Innovation Singapore
Contact Detail:
Consortium for Clinical Research and Innovation Singapore Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer (blockchain, well-established company) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the blockchain industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can get your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving real-time streaming and cloud platforms. We want to see what you can do, so make it easy for us to find your best work.
✨Tip Number 3
Prepare for the technical interview! Brush up on your SQL and distributed data processing frameworks. We’re looking for someone who can hit the ground running, so be ready to demonstrate your expertise in practical scenarios.
✨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 connect directly with us.
We think you need these skills to ace Data Engineer (blockchain, well-established company) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with data pipelines, cloud platforms, and any relevant projects that showcase your skills in building scalable data solutions.
Showcase Your Skills: In your cover letter, don’t just list your qualifications; show us how your skills align with our needs. Talk about your hands-on experience with tools like Apache Spark or your work on data warehouse architectures.
Be Clear and Concise: Keep your application clear and to the point. Use bullet points for easy reading and make sure to emphasise your achievements in previous roles, especially those related to data processing and analytics.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for the role without any hiccups!
How to prepare for a job interview at Consortium for Clinical Research and Innovation Singapore
✨Know Your Data Tools
Make sure you brush up on your knowledge of distributed data processing frameworks like Apache Spark and Apache Flink. Be ready to discuss how you've used these tools in past projects, as well as any challenges you faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've improved data processing efficiency or platform scalability in previous roles. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your impact.
✨Understand the Company’s Data Needs
Research the company’s current data infrastructure and be prepared to discuss how you can contribute to their goals. Familiarise yourself with their products and think about how your skills can help enhance their data-driven product development.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the company. Inquire about their data governance standards, the tools they use for data quality assurance, and how they approach agile development cycles. This demonstrates your enthusiasm and helps you gauge if the company is the right fit for you.