At a Glance
- Tasks: Join our Alpha Data team to develop and optimise data pipelines using Python.
- Company: Dynamic tech company focused on innovative data solutions.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Emphasis on teamwork, learning, and diversity of thought.
- Why this job: Make a real impact by collaborating with researchers and traders on exciting projects.
- Qualifications: 4+ years of Python experience and a degree in a STEM subject.
The predicted salary is between 70000 - 90000 £ per year.
We are seeking an experienced Python developer to join our Alpha Data team, responsible for delivering a vast quantity of data served to users worldwide. You will be a cornerstone of a growing Data team, becoming a technical subject matter expert and developing strong working relationships with quant researchers, traders, and fellow colleagues across our Technology organization.
Alpha Data teams are able to deploy valuable data to the rest of the Squarepoint business at speed. Ingestion pipelines and data transformation jobs are resilient and highly maintainable, while the data models are carefully designed in close collaboration with our researchers for efficient query construction and alpha generation. We achieve an economy of scale through building new frameworks, libraries, and services used to increase the team’s quality of life, throughput, and code quality. 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.
- Take part ownership of our ever-growing estate of data pipelines.
- Propose and contribute to new abstractions and improvements - make a real positive impact across our team globally.
- Design, implement, test, optimize and troubleshoot our data pipelines, frameworks, and services.
- Collaborate with researchers to onboard new datasets.
- Regularly take the lead on production support operations - during normal working hours only.
Required Qualifications
- 4+ years of experience coding to a high standard in Python.
- Bachelor’s degree in a STEM subject.
- Experience with and knowledge of SQL, and one or more common RDBMS systems (we mostly use Postgres).
- 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
- Experience with big data frameworks, databases, distributed systems, or Cloud development.
- Experience with any of these: C++, kdb+/q, Rust.
Software Developer - Data Pipelines (Python) in London employer: Dormont Manufacturing Co
At Squarepoint, we pride ourselves on being an exceptional employer, particularly for our Software Developer - Data Pipelines role. Our vibrant work culture fosters collaboration and innovation, allowing you to make a tangible impact on our global data initiatives while enjoying ample opportunities for professional growth and development. Located in a dynamic environment, we offer competitive benefits and a commitment to diversity of thought, ensuring that every team member feels valued and empowered to excel.
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We think this is how you could land Software Developer - Data Pipelines (Python) in London
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We think you need these skills to ace Software Developer - Data Pipelines (Python) in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
