Sunscrapers is a technology consultancy that empowers finance and healthcare leaders to succeed by leveraging cutting-edge software, data, and AI.
We combine world-class engineering, deep industry expertise, and proprietary know-how to deliver innovative, high-impact solutions. Specializing in software engineering, DevOps, data engineering, and data science, we design and build AI-powered data platforms and web applications tailored to each client’s unique needs.
Trusted by over 60 clients across the US, UK, and beyond, we consistently maintain a 4.9/5 client satisfaction rating, with partnerships averaging five years or more.
The Project is for the leading fintech specialising in buy-side brokerage services. Their industry leading software provides portfolio managers with differentiated trade idea creation, optimisation, and execution services.
They currently cover interest rate derivatives for the largest hedge funds in New York, London, Dubai, and Geneva.
The Role:
As a Data Engineer, you will play a pivotal role in supporting and scaling the data platform, ensuring seamless data pipeline orchestration, storage and compute optimization, as well as providing high performance data access interface to support analytical software. This is a great opportunity to lead development of the critical part of product architecture.
Responsibilities:
Requirements
Nice-to-Haves
Benefits
What do we offer?
Sunscrapers is a consultancy specializing in custom software development, full-stack web development, data engineering, and technical staff augmentation.We help startups, SMBs, and enterprises to solve problems, achieve business goals, and automate processes using technology. We combine business-savvy software craftsmanship and agile project management to build solutions that follow the best industry standards.We have delivered 250+ digital products used by clients all over the world, including ASUS, ESPN, Samsung, Spotify, Unilever, Volvo, as well as many startups.
Be the first to apply. Receive an email whenever similar jobs are posted.
Understand the required skills and qualifications, anticipate the questions you may be asked, and study well-prepared answers using our sample responses.
Data Engineer Q&A's