Senior Cloud Data Engineer - Pipelines & Product Ownership

ENGIE

Georgia

Hybrid

USD 102,000 - 170,000

Full time

14 days+

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Benefits offered by this job

Medical benefits
Dental benefits
Vision benefits
Life insurance
401(k) match

Job summary

ENGIE North America is seeking a Senior Data Engineer to own product delivery and forward planning for Cloud Data Solutions’ data products. You will translate business needs into a prioritized roadmap and backlog while contributing hands-on to data engineering, modeling, and integration across trading, assets, and operations.

The ideal candidate has a CS/Engineering degree, 5+ years building cloud data pipelines on AWS/Azure/GCP, strong Python/SQL, and proven stakeholder collaboration.

Qualifications

  • Bachelor’s degree or equivalent practical experience in CS/Engineering or related field.
  • Minimum 2 years in energy trading, asset management, or energy market operations.
  • Minimum 5 years building and maintaining cloud-based data pipelines on AWS/Azure/GCP.
  • Strong programming skills in Python and SQL.
  • Experience with ETL/ELT tools, workflow orchestration, data transformation frameworks, APIs, and external system integration.
  • Understanding of data modeling, data quality, data lineage, metadata, and documentation.
  • Experience gathering requirements, refining user stories, managing a delivery backlog, and prioritizing a roadmap.
  • Excellent communication and collaboration skills; comfortable with non-technical stakeholders.
  • Hybrid work policy requires a minimum of 3 in-office days per week.
  • Must comply with ENGIE ethics and safety policies.

Responsibilities

  • Own and maintain a prioritized product backlog and roadmap for data products.
  • Translate business needs into well-defined user stories and acceptance criteria.
  • Coordinate with business stakeholders, the Data Office, and delivery teams.
  • Communicate progress, risks, and trade-offs to leadership.
  • Develop and maintain cloud-based data pipelines for ingestion, transformation, and delivery.
  • Develop data models, metadata, and documentation to support analytics and reporting.
  • Implement data quality checks, monitoring, and performance tuning for pipelines.

Skills

Python
SQL
ETL/ELT tools
Data modeling
Data quality
Data lineage
APIs
Agile
Stakeholder management

Education

Bachelor's degree in Computer Science/Engineering or related field

Tools

AWS
Azure
GCP
CI/CD

Job description

ENGIE North America is seeking a Senior Data Engineer to own product delivery and forward planning for Cloud Data Solutions’ data products. You will translate business needs into a prioritized roadmap and backlog while contributing hands-on to data engineering, modeling, and integration across trading, assets, and operations.

The ideal candidate has a CS/Engineering degree, 5+ years building cloud data pipelines on AWS/Azure/GCP, strong Python/SQL, and proven stakeholder collaboration.

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