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Castleton Commodities International

DataOps Engineer – Data Science Operations

Posted 22 Days Ago
Be an Early Applicant
In-Office
2 Locations
Senior level
In-Office
2 Locations
Senior level
The DataOps Engineer will manage data architecture, ingestion processes, and operational support for market data platforms, optimizing for performance and scalability while liaising with commercial teams.
The summary above was generated by AI
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 commitment to excellence is reflected in a robust, modern, open-source technology stack, empowering us to solve complex, high-impact challenges at scale. From cloud-native infrastructure to machine learning platforms, real-time analytics, and proprietary libraries and APIs, we are passionate about using technology to drive innovation and create a competitive edge in global energy commodity trading and investing. Candidates will gain direct exposure to our commercial investment teams, offering a unique opportunity to see how cutting-edge technology drives strategy and performance in energy markets.
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 on-going 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:

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  https://www.cci.com/careers/life-at-cci/# to learn more!

#LI-CD1

Top Skills

Angular
CSS
Git
HTML
JavaScript
Numpy
Pandas
Python
React
Snowflake
SQL

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