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- Tasks: Lead the development of data solutions that empower traders and analysts in a fast-paced environment.
- Company: Join a top global commodities trading firm making waves in oil and agriculture.
- Benefits: Enjoy a dynamic work culture with opportunities for remote work and professional growth.
- Why this job: Make a real impact on trading decisions while collaborating with industry experts.
- Qualifications: Experience in Front Office trading, Python, SQL, and data visualisation tools like Tableau.
- Other info: This role offers a chance to work on cutting-edge analytics platforms.
The predicted salary is between 48000 - 72000 £ per year.
Cititec Talent has partnered with a leading global commodities trading firm to find a Lead Front Office Data Engineer. In this role, you will be at the forefront of developing and optimising analytics and data solutions that empower traders and analysts to make data-driven decisions. This is a unique opportunity to work closely with traders and analysts, building high-performance analytics platforms that directly impact trading decisions in oil and agriculture. You will lead the development of scalable data solutions, optimise market data pipelines, and deploy cloud-based analytics models in a dynamic, fast-paced trading environment.
Key Responsibilities:
- Develop and enhance analytics platforms by collaborating with traders, analysts, and technology teams to streamline data workflows.
- Lead development initiatives, facilitating regular stand-ups to drive progress and align with business objectives.
- Architect and implement scalable data engineering solutions, including analytics dashboards using Tableau, BI, and React.
- Automate and manage the release of fundamental and market data, ensuring its accuracy, integrity, and accessibility.
- Integrate and optimise new market data sources, working with third-party vendors to enhance data capabilities.
- Deploy, maintain, and optimise cloud-based analytics models to ensure high performance, scalability, and reliability in a trading environment.
Key Skills Required:
- Proven experience leading development within a Front Office trading or commodities environment.
- Experience with Python programming and strong SQL skills for data extraction, transformation, and analysis.
- Hands-on experience in building and optimising market data pipelines, analytics tools, and trading applications.
- Strong knowledge of market data structures, pricing models, market curves, and settlement curves, with a track record of implementing scalable solutions.
- Experience in data visualisation and developing analytics tools using Tableau, BI, and React.
- Strong background in cloud-based architectures, API integrations, and deploying models for real-time data processing.
- Proven ability to design, develop, and maintain high-performance systems in a fast-paced, high-pressure trading environment.
Lead Front Office Data Engineer employer: Cititec Talent
Contact Detail:
Cititec Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Front Office Data Engineer
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Python, SQL, Tableau, and cloud-based architectures. Having hands-on experience or projects that showcase your skills in these areas will make you stand out during discussions.
✨Tip Number 2
Network with professionals in the commodities trading sector. Attend industry events or join relevant online forums to connect with traders and analysts. This can provide valuable insights into the role and may even lead to referrals.
✨Tip Number 3
Prepare to discuss your previous experiences leading development initiatives. Be ready to share specific examples of how you've collaborated with teams to optimise data workflows and enhance analytics platforms, as this is a key responsibility of the role.
✨Tip Number 4
Stay updated on the latest trends in data engineering and analytics within the trading environment. Being knowledgeable about current market data structures and pricing models will demonstrate your commitment and expertise during interviews.
We think you need these skills to ace Lead Front Office Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly within a Front Office trading or commodities environment. Emphasise your skills in Python, SQL, and any experience with analytics tools like Tableau and BI.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of the trading environment. Mention specific projects where you've led development initiatives or optimised data solutions, and how these experiences align with the role.
Highlight Key Skills: In your application, clearly outline your expertise in building market data pipelines and cloud-based architectures. Use specific examples to demonstrate your ability to design and maintain high-performance systems under pressure.
Showcase Collaboration Experience: Since the role involves working closely with traders and analysts, include examples of past collaborations. Highlight how you facilitated communication between technical teams and non-technical stakeholders to achieve business objectives.
How to prepare for a job interview at Cititec Talent
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, SQL, and data engineering. Highlight specific projects where you've built or optimised market data pipelines and analytics tools, as this will demonstrate your hands-on expertise.
✨Understand the Trading Environment
Familiarise yourself with the commodities trading landscape, especially in oil and agriculture. Being able to speak knowledgeably about market data structures and pricing models will show that you understand the context in which you'll be working.
✨Emphasise Collaboration
Since the role involves working closely with traders and analysts, be ready to discuss how you've successfully collaborated with cross-functional teams in the past. Share examples of how you facilitated communication and drove progress towards common goals.
✨Prepare for Problem-Solving Questions
Expect to face scenario-based questions that assess your problem-solving skills in a fast-paced environment. Think of examples where you've had to quickly adapt or optimise solutions under pressure, as this will highlight your ability to thrive in a trading setting.
