Senior Data Engineer, Commercial Analytics & Data Solutions

Phillips 66 Company

Houston (TX)

On-site

USD 160,000 - 196,000

Full time

2 days ago
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Benefits offered by this job

VCIP bonus
401k match 8%
Medical, Dental, Vision benefits
Well-being programs

Job summary

Phillips 66 is seeking a Sr. Advisor II, Commercial Data Engineering in Houston (or London) to develop and maintain data solutions that empower Market Analysts, Strategists and Traders.

You will lead transformations, ensure data quality, and build data products for market prices and balances. Ideal candidates have 5+ years in finance/energy, SQL and Python expertise, and hands-on experience with Databricks, Data Factory, Azure DevOps, and Git.

Qualifications

  • Legally authorized to work in the United States.
  • Bachelor’s degree or higher.
  • 1 or more years in the finance or energy industry.
  • 5 years of experience with SQL and Python.
  • Experience with Databricks, Data Factory, Azure DevOps, and Git.

Responsibilities

  • Develop and implement tools and analyses to improve the efficiency and consistency of information communicated across the global Commercial organization.
  • Own data quality in practice: completeness, mapping and transformation checks, duplication and history validation, and the defect backlog that comes with new sources.
  • Build and maintain curated silver and gold data products for commercial domains, including outages, ship tracking, plant capacity and runs, market prices, and balances.
  • Implement standardized, reusable transformations so calculations are defined once, documented, and consistent across every desk and every downstream tool.
  • Lead ad-hoc projects and analysis to support Market Analysts, Strategists and Traders.
  • Lead information gathering processes and development of presentation packages as needed.

Skills

SQL
Python
Legal work authorization

Education

Bachelor’s degree or higher

Tools

Databricks
Data Factory
Azure DevOps
Git

Job description

Phillips 66 is seeking a Sr. Advisor II, Commercial Data Engineering in Houston (or London) to develop and maintain data solutions that empower Market Analysts, Strategists and Traders.

You will lead transformations, ensure data quality, and build data products for market prices and balances. Ideal candidates have 5+ years in finance/energy, SQL and Python expertise, and hands-on experience with Databricks, Data Factory, Azure DevOps, and Git.

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