At a Glance
- Tasks: Join our Data Platform team to design and optimise Python libraries and frameworks.
- Company: Squarepoint, a leading tech firm focused on data-driven solutions.
- Benefits: Competitive salary, learning opportunities, and a collaborative work culture.
- Other info: Diverse team with excellent career growth and support for personal development.
- Why this job: Make an impact in a dynamic environment while working with cutting-edge technologies.
- Qualifications: 4+ years of Python programming experience and a STEM degree required.
The predicted salary is between 63000 - 77000 £ per year.
Position Overview
The Data Development group manages the lifecycle of data used for trading, back-testing, and research at Squarepoint.
We work with quantitative researchers and tech teams to integrate, process, and serve data from a huge variety of sources into our data infrastructure.
We are currently seeking new data developers to join our Data Platform team, where teamwork and collaboration are encouraged, excellence is rewarded and diversity of thought and creative solutions are valued.
Our emphasis is on a culture of learning, development, and growth.
Data Platform is a team of Python developers working closely with technology developers and quantitative developers to design, build, test, and maintain libraries, services and frameworks used by data pipelines and investment teams across the entire Squarepoint organization.
Data Platform is able to deploy infrastructure, frameworks and tools to the rest of the Squarepoint business at speed, with stability, observability, access control and performance at top of mind.
Services and libraries are resilient and highly maintainable.
Data models are carefully designed in close collaboration with our domain experts for efficient application development, predictable behavior and ease of debugging.
Data Platform developers also support developers in adopting and efficiently using the tools and products developed, and increase the team's quality of life, throughput, and code quality.
Acquire a deep understanding of the interface and tooling requirements of developers to deliver the right solutions to them.
Design, implement, test, optimize and troubleshoot Python libraries, frameworks, and services.
Design and add features to React frontends when appropriate.
Collaborate with technologists to ensure that our data applications and data platform meet evolving business requirements.
Work closely with data operations and data pipeline developers to improve development velocity and reduce our technical debt; increase the team's quality of life.
Write and review technical documents, such as requirements docs for new features, design docs to propose new platform solutions, and production support runbooks.
Lend a hand in support operations - during normal working hours - to help troubleshoot higher-order production issues when first line support personnel require deeper investigation.
- Must haves
- Only candidates with more than 4 full years of relevant experience will be considered.
- Bachelor's degree in a STEM subject.
- Strong skills programming in Python.
- Practical knowledge of commonly used protocols and tools used to transfer data (e. g. FTP, SFTP, HTTP APIs, AWS S3).
- Excellent communication skills.
- Nice to haves
- 4+ years designing, testing, optimizing and troubleshooting data intensive applications or services, or similar.
- Experience across multiple techincal domains: such as web development, data engineering, backend development, operations.
- Experience with any of these: SQL, Java Script, Type Script, React, C++, Rust.
- Experience with Postgre SQL, Redis or Valkey, Fast API, Kubernetes, Helm, Hashicorp Vault, Hashicorp Nomad
- #J-18808-Ljbffr
Software Developer - Data Platform employer: PVH (Tommy Hilfiger/Calvin Klein)
Intapp is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration within the accounting and consulting sectors across EMEA. With a strong commitment to employee growth, Intapp provides ample opportunities for professional development and leadership coaching, ensuring that team members thrive in their careers while contributing to the company's strategic vision. The culture is built on accountability and high performance, making it an ideal place for those looking to make a significant impact in a rapidly evolving industry.
Contact Details:
PVH (Tommy Hilfiger/Calvin Klein) Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Software Developer - Data Platform
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We think you need these skills to ace Software Developer - Data Platform
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at PVH (Tommy Hilfiger/Calvin Klein).
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How to prepare for a job interview at PVH (Tommy Hilfiger/Calvin Klein)
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If PVH (Tommy Hilfiger/Calvin Klein) uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
