Energy Data Engineer – Developer

enshift AG

. Analyze energy data, including production, consumption, and storage information, to identify optimization opportunities .

Posted 9/23/2026full-timeBaar • SwitzerlandMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analysis, including energy data optimization, AI-based market analysis, and the development of data pipelines. Proficient in SQL and Python, with practical experience in deploying infrastructure and creating data visualizations for informed decision-making.

Highest-signal resume keywords

Data Pipeline DevelopmentSQL ProficiencyPython ProgrammingInfrastructure-as-CodeData Visualization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisTrend AnalysisVariance AnalysisGap AnalysisKPI Reporting

Soft Skills

CollaborationOwnershipProblem-Solving

Tools & Technologies

TimescaleDBPostgreSQLClickHouseSnowflakeBigQueryDatabricksTerraformCI/CDCloud Technologies

Industry Keywords

Energy DataMarket AnalysisData QualityData-Driven Decision-Making

Tech Stack

Tools & technologies

BigQueryCloudPostgresPythonSQLTerraform

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 developing price and energy forecasts
Analyze asset data, project progress, and operational, environmental, and financial performance
Perform trend, variance, and gap analysis and translate findings into actionable recommendations
Validate data quality and perform plausibility checks
Develop and maintain central data and reporting infrastructure in collaboration with IT teams
Create KPI reports, dashboards, and data visualizations for internal and external stakeholders
Collaborate with management, operations, sales, and country organizations to support data-driven decision-making

Requirements

What you’ll need

Completed degree in Computer Science, Software Engineering, Data Science, Business Informatics, Physics, Engineering or a related field — or equivalent practical experience
3+ years building data pipelines that ran in production, with real users and real consequences when they broke
High proficiency in SQL, including window functions and time-series aggregation
Strong Python skills
Experience operating a time-series or analytical data store such as TimescaleDB, PostgreSQL at scale, ClickHouse, Snowflake, BigQuery, Databricks or comparable
Practical experience deploying and maintaining infrastructure using infrastructure-as-code such as Terraform, CI/CD, containers, and cloud technologies
Experience taking ownership when pipelines fail and implementing subsequent improvements
Comfortable being the sole owner of a system

Benefits

Comp & perks

An attractive salary package
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
Opportunity to play an active role in the energy transition and make a real impact