Data Engineer (Hybrid - 3/2 Work Schedule)

Posted 2 Days Ago
Be an Early Applicant
London, Greater London, England
Senior level
Energy
The Role
The Data Engineer will implement data management platforms, create data ingestion pipelines, and manage data architecture projects. They will lead data analysis using machine learning, manage end-to-end data processes, ensure data quality, and assist commercial teams with data architecture understanding and functional requirements.
Summary Generated by Built In

Castleton Commodities International is a leading global energy commodities merchant and infrastructure asset investor. As a trader, CCI deploys capital on a proprietary basis in the physical and financial commodity markets, providing the Company with market insights and access. As a strategic investor and developer, CCI leverages its market expertise, operations capabilities, and industry knowledge to invest in, and develop, select commodity infrastructure assets. This fully integrated platform has generated strong risk-adjusted returns for our investors since our formation.

Position Overview:

CCI is building out a best-in-class data science platform as being on the forefront of data management and analytics is core to our investment platform. Overall, this position will play an integral role as the team implements new data management platforms, creates new data ingestion pipelines, and sources new data sets. The role will assist with all aspects of data – from data architecture design to on-going data management and will have significant exposure to our Risk and commercial investing teams globally.

Responsibilities

  • Execute data architecture and data management projects for both new and existing data sources.

  • Help transition existing data sets, databases, and code to a new technology stack.

  • Over time, lead analysis of data sets using a variety of techniques including machine learning.

  • Manage end to end data ingestion process and publishing to investing teams.

  • Own the process of mapping, standardizing, and normalizing data.

  • Ad hoc research on project topics such as vendor trends, usage best practices, big data trends, artificial intelligence, vendors, etc. 

  • Help transition existing data sets, databases, and code to a new technology stack.

  • Assess data loads for tactical errors and build out appropriate workflows, as well as create data quality analysis that identifies larger issues in data.

  • Actively manage vendors and capture changes in data input proactively.

  • Properly prioritize and resolve data issues based on business usage.

  • Assist with managing strategic initiatives around big data projects for the commercial (trading) business.

  • Partner with commercial teams to gain understanding of current data flow, data architecture, investment process as well as gather functional requirements.

  • Assess gaps in current datasets and remediate.

Qualifications

  • Bachelor’s degree in Computer Science, Mathematics, Physics, Business Intelligence, or related field of study.

  • 5+ years of experience in SQL programming, data architecture, and dimension modeling.

  • Interest and passion for data architecture, analytics, management, and programming.

  • Experience in energy commodities or financial services required.

  • Experience in mapping, standardizing, and normalizing data.

  • Experience with data integration platforms is preferred, and SnapLogic experience is highly preferred.

  • Extensive work experience with ETL/ELT frameworks to write pipelines to load millions of records.

  • Advanced skills in writing highly optimized SQL code.

  • Experience with relational databases Snowflake or Oracle is preferred.

  • Python work experience with Pandas, Numpy and Scikit

  • Ability to communicate and interact with a wide range of data users – from very technical to non-technical.

  • Team player who is execution focused, with the able to handle a rapidly changing set of projects. and priorities, while maintaining strong professional presence.

  • Strong analytics skills with demonstrated attention to details.

  • Familiarity with Business intelligence tools Power BI and Tableau.

  • Interest or experience in machine learning/Artificial Intelligence is a plus.

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

Python
SQL
The Company
HQ: Stamford, CT
573 Employees
On-site Workplace
Year Founded: 2001

What We Do

Castleton Commodities International is an independent global energy commodity merchant and infrastructure asset investor. As a trader, CCI deploys capital on a proprietary basis in the physical and financial commodity markets, providing the Company with market insights and access. As a strategic investor and developer, CCI leverages its market expertise, operations capabilities, and industry knowledge to invest in, and develop, select commodity infrastructure assets.

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