Energy Data Engineer – Developer

enshift AG

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

Posted 10/8/2026full-timeBaar • SwitzerlandMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analysis, including energy data optimization and AI-based market analysis, while proficiently developing data pipelines and maintaining infrastructure. Capable of creating impactful KPI reports and visualizations to support data-driven decision-making across various organizational levels.

Highest-signal resume keywords

Data Pipeline DevelopmentSQL ProficiencyPython ProgrammingInfrastructure-as-CodeCI/CD Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisTrend AnalysisVariance AnalysisGap AnalysisKPI ReportingData VisualizationTime-Series AggregationPlausibility ChecksOptimization OpportunitiesOperational Performance Analysis

Soft Skills

OwnershipCollaborationProblem-Solving

Tools & Technologies

TimescaleDBPostgreSQLClickHouseSnowflakeBigQueryDatabricksTerraformContainersCloud Technologies

Industry Keywords

Energy DataMarket AnalysisData-Driven Decision-MakingData QualityReporting Infrastructure

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 to improve analytical outputs
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
Practical 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 own infrastructure
Experience with infrastructure-as-code, such as Terraform or similar
Experience with CI/CD, containers, and cloud technologies
Ability to take ownership when pipelines fail and implement 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