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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 time off.
- Why this job: Be at the forefront of data science, shaping the future of energy trading.
- Qualifications: Bachelor's degree in a relevant field and 5+ years in data operations required.
- Other info: Dynamic work environment with opportunities for community involvement and professional growth.
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.
Qualifications:
- 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.
Employee Programs & Benefits:
- 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 in London 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 in London
✨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 those interviews! Research the company, understand their data operations, and be ready to discuss how your skills in Python and data management can make a difference. Practice common interview questions to boost your confidence.
✨Tip Number 3
Show off your projects! If you've worked on relevant data architecture or ETL processes, create a portfolio or GitHub repository to showcase your work. This gives potential employers a tangible sense of what you can do.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team at Castleton Commodities International.
We think you need these skills to ace DataOps Engineer – Data Science Operations in London
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 Git. If you have experience with front-end technologies or automated workflows, make sure to include those as well. We love seeing candidates who can bring a diverse skill set to the table!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re serious about joining our team!
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 challenges you've faced in previous roles, particularly in data operations. Be ready to explain how you approached these problems and the solutions you implemented, especially in a fast-paced environment.
✨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 impress interviewers and show that you understand the bigger picture.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data initiatives and how the DataOps Engineer role fits into their strategy. This shows your genuine interest in the position and helps you gauge if the company is the right fit for you.