Haystack

data engineer in energy

In short

Senior data engineer role owning the end-to-end data platform for an energy-sector company, setting standards for data modeling, security and governance, and designing data products and guardrails for AI agents. Requires deep SQL/T-SQL expertise, data modeling experience, strong Python (PySpark, notebooks), exposure to Microsoft Fabric or Databricks/Synapse with Delta/Parquet, Power BI semantic modeling, and data security knowledge. Fully remote, full-time position.

About the employer: The employer operates in the energy sector and is contributing to a cleaner, more sustainable future.

Responsibilities:

•Own the end-to-end data platform

•Set standards for data modeling, security, and governance

•Design data products and guardrails for AI agents

Requirements:

•Deep knowledge of SQL and T-SQL on SQL Server / Azure SQL

•Experience with data modeling

•Strong Python skills, including PySpark and notebooks

•Exposure to Microsoft Fabric, or Databricks / Synapse and the Delta / Parquet ecosystem

•Power BI semantic modeling experience

•Understanding of information security and data protection in an engineering context

Conditions:

•Excellent benefits package

•Significant investment in training and career development

•Clear career path into senior and lead positions for top performers

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