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- Tasks: Design and manage data architecture for energy trading, optimising data platforms with Python.
- Company: Join Castleton Commodities International, a leader in energy trading and data innovation.
- Benefits: Enjoy competitive pay, health benefits, tuition assistance, and paid volunteer days.
- Why this job: Be at the forefront of data science in energy, making a real impact on market dynamics.
- Qualifications: Bachelor's degree and 5+ years in data operations; Python skills are a must.
- Other info: Dynamic work environment with opportunities for growth and innovation.
The predicted salary is between 36000 - 60000 £ per year.
At Castleton Commodities International (CCI), we are redefining how data and technology shape the future of energy trading. Our Data Science & Technology team is at the forefront of this transformation, developing systems and innovative tools that empower our front-office teams to better understand market dynamics, forecast prices, and manage risk.
Our Data Science Operations team is integral to our mission, ensuring the seamless ingestion and management of data across our platforms. The DataOps Engineer will assist with all aspects of data – from data architecture design to ongoing data management and will have significant exposure to our Commercial investing teams globally. This position will play an integral role as the firm continues to expand its use of data for advanced analytics and other commercial purposes.
Responsibilities:- Execute data architecture and data management projects for existing data sources, ensuring alignment with business and technical requirements.
- Design, enhance, and maintain market data platforms using Python, optimizing for scalability and performance.
- Manage the end-to-end data ingestion process, including extraction, transformation, loading (ETL), and data publishing for investment and commercial teams.
- Own and continuously improve the process of mapping, standardizing, and normalizing fundamental analytics data to support consistent usage across business functions.
- Implement automated workflows for error handling and develop data quality analysis to proactively identify and address systemic issues.
- Prioritize and resolve critical market data issues based on business impact and user-reported concerns.
- Coordinate with technology and business stakeholders to align goals, timelines, and deliverables for strategic big data initiatives.
- Serve as a liaison with commercial (trading) teams to translate their needs regarding data flow, architecture, and the investment process into functional data requirements.
- Provide operational support for market data platforms, handling performance tuning, incident response, and user assistance.
- Ensure platform stability and resilience by developing and maintaining operational runbooks, standard operating procedures (SOPs), and incident response protocols.
- Bachelor’s degree in Computer Science, Mathematics, Physics, Engineering or related field of study.
- 5+ years’ experience in data operations production environment, ideally in financial services or energy commodities.
- Proficient in Python programming and its libraries - Pandas, NumPy, etc.
- Experience with front-end technologies such as HTML, CSS, JavaScript, and modern front-end frameworks (e.g., React, Angular) is a plus.
- Prior experience with Snowflake columnar database and ability to design and optimize complex SQL queries.
- Proficient in using version control systems like Git to manage code repositories effectively.
- Strong analytical and problem-solving skills to tackle complex technical challenges.
- Proficiency in debugging and performance optimization techniques.
- Understanding of the software development lifecycle, from requirements analysis to testing and deployment.
- Ability to work effectively in a fast-paced, dynamic and high-intensity environment including open-floor plan if applicable to the position, with timely responsiveness and the ability to work beyond normal business hours when required.
CCI offers competitive benefits and programs to support our employees, their families and local communities. These include:
- Competitive comprehensive medical, dental, retirement and life insurance benefits
- Employee assistance & wellness programs
- Parental and family leave policies
- CCI in the Community: Each office has a Charity Committee and as a part of this program employees are allocated 2 days annually to volunteer at the selected charities.
- Charitable contribution match program
- Tuition assistance & reimbursement
- Quarterly Innovation & Collaboration Awards
- Employee discount program, including access to fitness facilities
- Competitive paid time off
- Continued learning opportunities
Visit to learn more!
DataOps Engineer – Data Science Operations employer: Castleton Commodities International, LLC
Contact Detail:
Castleton Commodities International, LLC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land DataOps Engineer – Data Science Operations
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your skills. Use real-life examples from your experience to demonstrate how you’ve tackled challenges in data operations. Confidence is key!
✨Tip Number 3
Don’t just apply anywhere; focus on companies that align with your values and career goals. Check out our website for opportunities at Castleton Commodities International and tailor your approach to fit their culture.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way in keeping you top of mind. It shows your enthusiasm and professionalism, which are always appreciated.
We think you need these skills to ace DataOps Engineer – Data Science Operations
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the DataOps Engineer role. Highlight your experience with data architecture, Python programming, and any relevant projects that showcase your skills in data management and analytics.
Craft a Compelling Cover Letter: Your cover letter should tell us why you're passionate about data operations and how your background aligns with our mission at Castleton Commodities International. Be specific about your achievements and how they relate to the responsibilities outlined in the job description.
Showcase Your Technical Skills: Don’t forget to mention your proficiency in tools like Snowflake and version control systems like Git. We want to see how you’ve used these technologies in real-world scenarios, so include examples that demonstrate your problem-solving abilities.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Castleton Commodities International, LLC
✨Know Your Data Inside Out
Make sure you’re well-versed in data architecture and management principles. Brush up on your Python skills, especially with libraries like Pandas and NumPy, as these will likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex data challenges. Think about how you’ve optimised ETL processes or improved data quality, as this will demonstrate your analytical abilities and hands-on experience.
✨Understand the Business Context
Familiarise yourself with the energy trading sector and how data impacts decision-making. Being able to connect your technical skills to business outcomes will set you apart and show that you understand the bigger picture.
✨Communicate Effectively
Practice explaining technical concepts in simple terms, especially how you would liaise with commercial teams. Clear communication is key, so be ready to demonstrate how you can translate technical requirements into actionable insights for stakeholders.