At a Glance
- Tasks: Build data pipelines for ingestion and analysis, collaborating with senior engineers.
- Company: Join DRW, a leading firm in the commodities sector.
- Benefits: Competitive salary, great work culture, and opportunities for growth.
- Other info: Dynamic team environment with a focus on collaboration and high performance.
- Why this job: Make an impact by designing core data infrastructure and working on exciting projects.
- Qualifications: Experience in Python ETL development and strong communication skills.
The predicted salary is between 56700 - 69300 £ per year.
DRW is seeking a Software Engineer to join the Commodities Data Team in London.
You will help build data pipelines for ingestion and analysis of datasets, collaborating with senior data engineers and stakeholders on both greenfield and legacy projects.
Initially you will focus on delivering data to analysts, with opportunities to design core data infrastructure as you grow.
The role emphasizes reliable Python ETL development, strong communication, and a collaborative, high-performance
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Data Pipeline Software Engineer - Commodities (Python) employer: DRW Holdings, LLC.
As a Quantitative AI Strategist at our firm, you will thrive in a dynamic and innovative work culture that prioritises collaboration and continuous learning. We offer competitive benefits, including professional development opportunities and exposure to cutting-edge AI technologies in the heart of the financial district, ensuring you are at the forefront of quantitative finance. Join us to make a meaningful impact by transforming data into actionable insights while working alongside talented professionals dedicated to excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Data Pipeline Software Engineer - Commodities (Python)
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We think you need these skills to ace Data Pipeline Software Engineer - Commodities (Python)
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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✨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.
