Data Engineer Mid-Level (m/w/d)

About This Opportunity

We are representing a confidential energy technology organization based in Berlin that is building next-generation metering and data infrastructure. Our talent team is seeking a Mid-Level Data Engineer to join their modern analytics and data platform initiative.

In this role, you'll work across the full data lifecycle—from raw data ingestion in a lakehouse architecture through automated data modeling to interactive dashboards and machine learning applications. You'll serve as a bridge between robust infrastructure, analytical reporting, and applied data science use cases.

Responsibilities

Lakehouse & Data Engineering (approximately 50%):

• Design, build, and optimize performant pipelines using Databricks
• Data modeling with dbt and orchestration of robust DAGs via Apache Airflow
• Implement automated data quality checks, data lineage tracking, and cluster optimization

Analytics & Data Applications (approximately 25%):

• Build semantic metrics layers and self-service BI capabilities in Lightdash
• Develop interactive analysis tools and data apps using Python (Streamlit)

Data Science & Machine Learning (approximately 25%):

• Conduct exploratory analyses, prototyping, and training of ML models (forecasting, anomaly detection)
• Implement experiment tracking on Databricks and deliver results to business stakeholders

What We're Looking For

• 2–4 years of hands-on experience in data engineering, analytics engineering, or comparable role
• Strong practical knowledge of Databricks (Delta Lake, Unity Catalog), dbt, and Apache Airflow
• Experience with Lightdash or similar code-based BI tools, plus Streamlit for data applications
• Excellent SQL skills (performance tuning, complex joins) and strong Python proficiency (pandas, PySpark, scikit-learn)
• Familiarity with Git/CI-CD workflows and modern data modeling concepts (star schema)
• Pragmatic hands-on mentality with strong communication abilities
• Very good German and English language skills required

How We Work With You

Candidates apply directly through Get A Job.ai. Our recruiting team conducts an initial screening to understand your experience and career goals. We then submit qualified candidates to our client for consideration. Please do not contact the client directly—all communication flows through our recruitment process to ensure the best experience for everyone involved.

Pay

Compensation details will be discussed during the screening process based on your experience level and the client's budget for this position.

Equal Opportunity: Get A Job.ai is committed to inclusive hiring practices. We welcome candidates of all backgrounds, identities, and experience levels to apply.