Junior python developer Work, Jobs (with Salaries)

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Senior kdb+ Engineer

Data Intellect
London

Quick apply

Job details

Full-time

Benefits

Paid training
Referral programme

Qualifications

Mentoring junior staff
Team management
Mentoring
Scripting
Multidisciplinary collaboration
Project leadership
Leadership
Communication skills

Full job description

Company Description

Join the world’s largest kdb+ Consultancy where every query matters, every millisecond counts and every system you build shapes the future of data-driven finance.

At Data Intellect, we thrive on solving complex data challenges in high-stakes environments. We’re a team of engineers, problem-solvers and collaborators who believe in pushing boundaries, not egos.

If you're a proficient kdb+ developer ready to lead, innovate and make an impact, we want to hear from you.

Job Description

As a Senior kdb+ Engineer at [DI] you’ll be at the forefront of delivering high-performance, scalable solutions for some of the world’s most data-intensive financial institutions. You’ll:

Lead technical delivery on client projects, setting the standard for quality and performance.
Design and implement robust kdb+ architectures that handle billions of rows of time-series data.
Collaborate with quants, traders, and analysts to translate business needs into performant, efficient code.
Mentor and guide junior and mid-level developers, fostering a culture of technical excellence.
Own the full development lifecycle by developing, testing, supporting and maintaining all code for client applications
Drive innovation by staying ahead of the curve in kdb+, q, and emerging technologies.

Qualifications

What You Bring

5+ years of hands-on kdb+ development, with deep expertise in q and time-series data.
Proven experience designing and implementing kdb+ architectures and scaling kdb+ systems in production.
Strong background in Unix/Linux environments and scripting.
Demonstrated technical leadership and decision-making in fast-paced projects.
Excellent communication skills to explain complex systems to both technical and non-technical stakeholders.
Experience in capital markets or investment banking, understanding of the domain and its demands.
A passion for clean, performant code and continuous improvement.

Bonus Points For:

Experience with AI tooling (Claude, Co-Pilot)
Experience with Python, cloud platforms (AWS, GCP, Azure), or other time-series databases.
Exposure to tick data, real-time analytics, electronic trading systems.
People management or team leadership experience.

Additional Information

Why Join Data Intellect?

Hybrid & flexible working – balance your time between home and our global offices.
Global opportunities – work with clients in London, New York, Hong Kong, Singapore, Toronto and beyond.
Continuous learning – day one access to paid training, certifications and leadership development.
Clear progression pathways – biannual promotion cycles and monthly 1:1s to excel your career growth and development.
Healthcare & wellbeing – provider dependent on region.
Flexible, increasing holiday allowance – option to work bank holidays providing greater flexibility in holiday usage
Generous referral bonuses, exciting social events and so much more – we work hard and celebrate harder.

Data Intellect is a specialist data and technology consultancy with deep expertise in capital markets. We build high-performance systems that power trading, risk and analytics for some of the world’s most demanding clients. Our expertise spans kdb+, AI, data engineering, regulatory technology and enterprise platforms. We’re growing, fast!

Fair Employment & Equal Opportunities

We’re proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Accommodations are available throughout the assessment and selection process.

Ready to lead the next generation of high performance kdb+ solutions?

Challenge Accepted. Apply now.

Quick apply

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junior python developer jobs

Senior kdb+ Engineer

Lead Site Reliability Engineer (AWS)

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