At a Glance
- Tasks: Develop and maintain production data pipelines for risk analytics platforms.
- Company: Join a global quantitative investment manager focused on high-quality, real-time data.
- Benefits: Competitive salary, bonus, and opportunities for professional growth.
- Other info: Hands-on role in a dynamic London-based engineering team.
- Why this job: Make an impact by building reliable data systems that support critical risk decisions.
- Qualifications: Strong Python skills and experience with data pipelines and orchestration tools.
The predicted salary is between 65000 - 105000 £ per year.
Salary: £65,000 - 105,000 per year
Requirements
- Experience building and operating production data pipelines rather than one-off scripts or analysis tooling.
- Strong Python development skills, with experience building performant, maintainable applications.
- Experience with workflow orchestration tools such as Airflow, Dagster, or Prefect.
- Understanding of retries, dependency management, idempotency, backfills, and operational recovery.
- Experience with analytical or columnar databases such as ClickHouse or similar technologies.
- Knowledge of partitioning, materialised views, and query optimisation techniques.
- Experience with numerical and data processing libraries including NumPy, pandas, Polars, or Arrow.
- Understanding of performance optimisation, memory usage, multiprocessing, or asynchronous Python.
Responsibilities
- Develop and maintain production data pipelines supporting our risk analytics platforms.
- Build reliable, recoverable, and observable data workflows.
- Improve the quality, freshness, and completeness of critical risk data.
- Engineer performant Python applications for data processing and transformation.
- Optimise large-scale analytical data stores and query performance.
- Contribute to monitoring, alerting, and operational reliability across our data services.
Technologies
- Airflow
- ClickHouse
- Python
- NumPy
- Pandas
We are supporting a global quantitative investment manager whose risk platforms rely on high-quality, real-time data. This role sits within our engineering team responsible for the ingestion, transformation, storage, and delivery of market, position, and reference data into critical risk systems. The position is based in London and offers a competitive salary plus bonus. This is a hands-on software engineering opportunity for someone who enjoys building production-grade data systems and cares as much about data reliability as they do about clean code.
Software Developer - Risk Data Pipelines employer: Ncounter Limited
As a leading global quantitative investment manager, we pride ourselves on fostering a dynamic work culture that values innovation and collaboration. Our London-based team offers competitive salaries, performance bonuses, and ample opportunities for professional growth, ensuring that our Software Developers are not only building robust data pipelines but also advancing their careers in a supportive environment focused on excellence and reliability.
StudySmarter Expert Advice🤫
We think this is how you could land Software Developer - Risk Data Pipelines
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We think you need these skills to ace Software Developer - Risk Data Pipelines
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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How to prepare for a job interview at Ncounter Limited
✨Brush Up on Your Statistics
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
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.
