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- Tasks: Build and maintain data pipelines for alternative commodity and macro data.
- Company: Join Jump Trading Group, a leader in applying cutting-edge research to global financial markets.
- Benefits: Enjoy private medical, vision, dental insurance, and more perks like paid parental leave.
- Why this job: Work in a dynamic environment with a focus on innovation and collaboration.
- Qualifications: 3+ years as a Data Engineer, proficient in Python, ETL/ELT pipelines, and data analytics tools.
- Other info: Opportunity to collaborate with traders and researchers for a full 360-degree view of the firm.
The predicted salary is between 48000 - 72000 £ per year.
Data Engineer
Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration.
The Vendor Data Group is part of the larger Core Development team at Jump Trading and is responsible for curating a centralized source of research and reference data for the firm to utilize. The Vendor Data Group operates in a very dynamic environment utilizing a sophisticated and diverse technology stack. The team interfaces with all aspects of the firm, from Trading, Research, and Technology to Risk, Middle Office and Accounting – providing individuals within the group a full 360-degree view of Jump. The role offers the individual the opportunity to develop both business and technical expertise, while significantly contributing to our evolving code base.
We are seeking an experienced Data Engineer with at least 3+ years of experience. They will be working closely with one of our trading teams, building and maintaining mission critical data integration pipelines (ETL/ELT) and associated tools. Commodities and Macro alternative/fundamental data experience is preferred.
What you’ll do:
- Build and maintain data pipelines for alternative commodity and macro data.
- Collaborate with traders and researchers: Understand and meet Quant research and Trading team data needs.
- Develop scalable data architectures.
- Quality Assurance: Ensure data accuracy and reliability.
- Enhance data processing and optimizing workflows.
Skills you’ll need:
- At least 3+ years’ experience as a Data Engineer, preferably in commodity or macro trading.
- Proficient in Python development, Devops, and Linux environments.
- Expert experience data pipeline development, specifically ETL/ELT pipelines.
- Familiarity with data analytics tools and libraries, such as Pandas and NumPy.
- Skilled with relational and non-relational database management.
- Ability and willingness to collaborate with traders and analysts in a real time environment.
- Strong analytical and problem-solving abilities.
Benefits include:
- Private Medical, Vision and Dental Insurance
- Travel Medical Insurance
- Group Pension Scheme
- Group Life Assurance and Income Protection Schemes
- Paid Parental Leave
- Parking and Commuter Benefits
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Senior Data Engineer employer: Jump Trading
Contact Detail:
Jump Trading Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Familiarize yourself with the specific technologies and tools mentioned in the job description, such as Python, ETL/ELT pipelines, and data analytics libraries like Pandas and NumPy. This will not only help you understand the role better but also allow you to speak confidently about your experience during interviews.
✨Tip Number 2
Network with current or former employees of Jump Trading Group on platforms like LinkedIn. Engaging with them can provide you with insider knowledge about the company culture and expectations, which can be invaluable during the interview process.
✨Tip Number 3
Prepare to discuss your previous experiences in building and maintaining data pipelines, especially in a trading context. Be ready to share specific examples that demonstrate your problem-solving abilities and how you've collaborated with traders or researchers in the past.
✨Tip Number 4
Showcase your understanding of the financial markets, particularly in commodities and macro trading. Being able to discuss relevant trends or challenges in these areas will demonstrate your genuine interest in the role and the industry.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Senior Data Engineer position at Jump Trading Group. Tailor your application to highlight relevant experiences that align with their focus on data pipelines and collaboration with trading teams.
Highlight Relevant Experience: In your CV and cover letter, emphasize your 3+ years of experience as a Data Engineer, particularly in commodity or macro trading. Showcase specific projects where you built and maintained ETL/ELT pipelines, and mention any familiarity with tools like Pandas and NumPy.
Showcase Collaboration Skills: Jump Trading values collaboration. Make sure to include examples in your application that demonstrate your ability to work closely with traders and researchers, and how you've successfully met their data needs in previous roles.
Craft a Strong Cover Letter: Write a compelling cover letter that not only outlines your technical skills but also reflects your understanding of Jump Trading's culture of innovation and teamwork. Express your enthusiasm for contributing to their evolving code base and your commitment to quality assurance in data processing.
How to prepare for a job interview at Jump Trading
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, ETL/ELT pipelines, and data analytics tools like Pandas and NumPy. Highlight specific projects where you've successfully built and maintained data pipelines, as this will demonstrate your technical expertise.
✨Understand the Business Context
Familiarize yourself with the commodities and macro trading landscape. Understanding how your role as a Data Engineer impacts trading decisions will show that you can align your technical skills with the business needs of the firm.
✨Emphasize Collaboration
Since the role involves working closely with traders and researchers, be ready to discuss examples of how you've collaborated in past roles. Highlight your ability to communicate complex technical concepts to non-technical stakeholders.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your analytical and problem-solving abilities. Practice articulating your thought process when tackling data-related challenges, as this will showcase your critical thinking skills and adaptability in a dynamic environment.
