Energy Data Engineer

enshift AG

Energy Data Engineer analyzing renewable-energy production, consumption, and storage data for enshift AG. Building forecasts, dashboards, and data infrastructure to improve sustainable energy projects.

Posted 8/13/2026full-timeBaar • 🇨🇭 SwitzerlandJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analysis and optimization within the energy sector, utilizing advanced analytical techniques and modern cloud data infrastructures. Proficient in developing data pipelines and creating impactful data visualizations to support strategic decision-making.

Highest-signal resume keywords

Data AnalysisSQL ProficiencyCloud Data InfrastructureData Pipeline DevelopmentAI Model Application

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisSQLPythonRMATLABData Pipeline DevelopmentStatistical AnalysisMachine LearningData VisualizationKPI Reporting

Soft Skills

CollaborationCommunicationProblem-SolvingAnalytical ThinkingAttention to Detail

Tools & Technologies

BigQuerySnowflakeRedshiftDatabricksData Reporting Infrastructure

Industry Keywords

Energy SectorData ScienceBusiness InformaticsMathematicsStatisticsIndustrial Engineering

Tech Stack

Tools & technologies

Amazon RedshiftBigQueryCloudPythonSQL

About the role

Key responsibilities & impact

Analyze energy data, including production, consumption, and storage information to identify optimization opportunities
Conduct AI-based market analysis and contribute to the development of price and energy forecasts
Analyze asset data, project progress, and operational, environmental, and financial performance
Perform trend, variance, and gap analysis, translating findings into actionable recommendations
Validate data quality and perform plausibility checks to continuously improve analytical outputs
Develop and maintain a central data and reporting infrastructure in close collaboration with IT teams
Create KPI reports, dashboards, and data visualizations for internal and external stakeholders
Collaborate closely with management, operations, sales, and country organizations to support data-driven decision-making

Requirements

What you’ll need

Completed degree in Data Science, Mathematics, Statistics, Business Informatics, Physics, Industrial Engineering, or a related field
2–4 years of experience as a Data Analyst, ideally within the energy sector
Proven experience designing and building purpose-driven analytical environments
Experience building data pipelines, including data extraction, validation, transformation, and loading
Practical experience with modern cloud data infrastructures such as BigQuery, Snowflake, Redshift, or Databricks
Ideally, experience applying and training AI models and machine learning algorithms
High proficiency in SQL
Solid experience with Python, R, MATLAB, or comparable programming languages

Benefits

Comp & perks

An attractive salary package and exciting development opportunities
Further training in renewable energies and project management
A dynamic, innovative environment with short decision-making processes and plenty of creative freedom
The opportunity to play an active role in the energy transition and make a real impact