Energy Data Architect & AI-Driven Insights Engineer

Jobtailor; Baar; Vor Ort; CHF 110.000 - 150.000; Vollzeit

Zusammenfassung

Jobtailor is seeking a skilled Data Engineer to analyze energy data, build robust data pipelines, and develop AI-based market analyses. You will own the data infrastructure, optimize time-series data stores, and deliver dashboards for internal and external stakeholders.

The role requires strong SQL and Python skills, experience with cloud infrastructure, and a track record of end-to-end data pipeline ownership in production environments.

Qualifikationen

• 3+ years building data pipelines in production with real users
• Proficiency with time-series and analytical data stores
• Experience deploying and maintaining infrastructure
• CI/CD, containers and cloud familiarity
• Ability to own pipelines and diagnose issues

Aufgaben

• Analyze energy data to identify optimization opportunities
• Perform AI-based market analysis and contribute to price forecasts
• Analyze asset data, project progress and performance
• Create KPI reports, dashboards and visualizations
• Validate data quality and perform plausibility checks
• Develop and maintain central data and reporting infrastructure
• Collaborate with management, operations, sales and country orgs
• Translate findings into actionable recommendations

Kenntnisse

Data Pipeline Development

SQL Proficiency

Python Programming

Infrastructure-as-Code

CI/CD Experience

Ownership

Problem-Solving

Ausbildung

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

Tools

TimescaleDB

PostgreSQL

ClickHouse

Snowflake

BigQuery

Databricks

Terraform

Containers

Cloud Infrastructure

Jobbeschreibung

Jobtailor is seeking a skilled Data Engineer to analyze energy data, build robust data pipelines, and develop AI-based market analyses. You will own the data infrastructure, optimize time-series data stores, and deliver dashboards for internal and external stakeholders.

The role requires strong SQL and Python skills, experience with cloud infrastructure, and a track record of end-to-end data pipeline ownership in production environments.