Skills this job asks for
Data engineeringPythonPostgreSQLLinuxCommunicationSQL
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Sponsorship verdict
Sponsorship possible
One solid signal, not two. Worth applying, and worth asking about sponsorship early.
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Employer is on a government sponsor recordThis employer holds a UK sponsor licence (Skilled Worker, A rating).
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The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
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Can’t check pay against the visa rulesNo salary stated. UK Skilled Worker visa needs at least £41,700 a year (new-entrant (under 26, recent Student/Graduate visa) or STEM PhD: £33,400).
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Confirmed live todayWhen a source last listed this job as open.
Details and sources
- Employer is on a government sponsor record
- This employer holds a UK sponsor licence (Skilled Worker, A rating). Source: Register of licensed sponsors (UK Home Office).
- Can’t check pay against the visa rules
- No salary stated. UK Skilled Worker visa needs at least £41,700 a year (new-entrant (under 26, recent Student/Graduate visa) or STEM PhD: £33,400). Source: https://www.gov.uk/skilled-worker-visa/when-you-can-be-paid-less, rules effective 2025-07-22.
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About the role
The Core Data team models and owns the structured datasets that connect Squarepoint to the outside world, effectively representing the firm's view of reality. We partner closely with portfolio managers and investment researchers to define robust data models and build reliable data pipelines that transform and consolidate diverse sources into high-quality, centrally managed datasets.
These datasets are delivered through a service-oriented platform designed for scalability, reliability, and performance. Our technology supports every stage of the investment lifecycle, from research and backtesting to trading and portfolio management.
We are looking for talented software engineers with strong Python and/or kdb+/q experience to join our team. You will be part of a collaborative, learning-oriented environment where excellence is recognized, diverse perspectives are valued, and innovative solutions are encouraged.
• Acquire a deep understanding of the data requirements provided by investment research teams and deliver solutions that create business impact
• Design, implement, test, optimize and troubleshoot data pipelines and services using Python and q
• Work with a range of database technologies, including PostgreSQL and kdb+
• Analyze, onboard, and curate vendor datasets, becoming a subject matter expert in third-party data
• Take a leading role in production support and operational excellence during business hours
Required Qualifications:
• Bachelor’s degree in Computer Science, Engineering, or related subject
• 4+ years of professional software engineering experience
• Proficiency in Python and/or kdb+/q
• Experience developing software in a Linux environment
• Excellent verbal and written communication skills
• Curiosity and a willingness to learn new technologies, tools, and frameworks
Nice to have:
• Knowledge of SQL and experience with relational and/or time-series databases
• Experience building and operating data-intensive applications
• Experience working with and analyzing financial datasets
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