Data Engineer (m/f/d)

Responsibilities

We are representing a confidential energy-tech client in München seeking a Data Engineer to build and maintain the data infrastructure that powers real-time energy monitoring and analytics across industrial sites throughout Europe.

In this role, you will:

• Design and implement meter data integration pipelines that collect readings from diverse industrial hardware and utility data streams, transforming them into consistent, reliable formats for downstream consumption
• Build anomaly detection and insight generation systems using data science techniques to identify consumption patterns, equipment drift, and operational inefficiencies that customers can act on
• Handle high-volume time-series data including ingestion, quality validation, backfills, and managing the reality of late, missing, or duplicated meter readings
• Develop scalable data pipelines and APIs in production cloud environments that support dashboards, forecasts, and business intelligence tools
• Collaborate within a 12-engineer team organized into two squads, with fast iteration cycles that deliver features to customers in weeks

What We're Looking For

Required qualifications:

• 3–5 years of data engineering experience building production pipelines that support mission-critical applications
• Hands-on data science background with experience building and evaluating models, distinguishing signal from noise, and deploying models in production environments
• Strong proficiency in Python and SQL with demonstrated experience designing cloud-based data infrastructure, workflows, and APIs
• Proven ability working with high-volume time-series data, including data quality assurance and pipeline reliability
• End-to-end problem-solving mindset that prioritizes simplicity and systemic solutions over isolated complexity
• Clear written and spoken English required

Preferred experience:

• Background in energy, industrial systems, IoT, or other domains involving physical hardware telemetry
• Familiarity with metering protocols, device telemetry at scale, or streaming data architectures
• Proficiency in additional programming languages such as TypeScript or Kotlin
• DevOps mindset with experience in monitoring, alerting, and production debugging
• German language skills are a plus

How We Work with You

Our talent team at Get A Job.ai partners exclusively with this client to identify exceptional data engineering candidates. When you apply through our platform, a recruiter will conduct an initial screening to understand your background and confirm fit. If aligned, we will submit your profile directly to the client for consideration. Please do not contact the client independently, as all applications must come through our recruitment process.

Pay

Compensation details will be discussed during the screening process based on experience level and market positioning.

Get A Job.ai is an equal opportunity recruiter. We welcome applications from candidates of all backgrounds and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.