Energy Trading Data Pipeline Lead – Hybrid Role

ENGIE

Houston (TX)

Hybrid

USD 117,000 - 180,000

Full time

3 days ago
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Benefits offered by this job

401(k) match
Health insurance
Paid time off
Disability insurance

Job summary

ENGIE North America seeks an Applications Management Advisor to support front-to-back Energy Trading and Risk Management environments. You will build data pipelines, maintain SSIS packages, and optimize SQL queries while collaborating with analysts and stakeholders in a fast-paced trading setting.

Role requires 7+ years experience, Bachelor’s degree, expertise in SQL Server/SSIS/SSRS, and Python for data engineering.

Qualifications

  • Bachelor’s degree in Computer Science, Engineering, MIS, or related field, or equivalent experience.
  • 7+ years of relevant work experience.
  • Expert-level SQL Server experience including design, optimization, and SSIS.
  • Experience with SSRS or similar reporting platforms.
  • Proficiency in Python for data engineering and APIs.

Responsibilities

  • Design, develop, maintain, and troubleshoot ETL processes and SSIS packages.
  • Develop, optimize SQL queries, procedures, views, and functions across data warehouses.
  • Integrate and validate data from SQL Server, Oracle, CSV, and APIs.
  • Implement data quality controls, logging, and reconciliation across systems.
  • Support ETRM platform data—trade, risk, P&L, and exposure data.
  • Create and maintain reports, dashboards, data mappings, and documentation.
  • Collaborate with analysts and stakeholders to translate needs into solutions.
  • Provide production support while balancing priorities.

Skills

SQL
SSIS
SSRS
Python
ETL
Data pipelines
Stakeholder comms

Education

Bachelor’s degree in CS/Engineering/MIS or equivalent

Tools

SQL Server
Oracle
SSIS

Job description

ENGIE North America seeks an Applications Management Advisor to support front-to-back Energy Trading and Risk Management environments. You will build data pipelines, maintain SSIS packages, and optimize SQL queries while collaborating with analysts and stakeholders in a fast-paced trading setting.

Role requires 7+ years experience, Bachelor’s degree, expertise in SQL Server/SSIS/SSRS, and Python for data engineering.

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