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Hybrid
Full-time
Senior
Urgent hire

Senior Data Engineer

Quantum Energy Labs
Berlin, Germany
EUR 80k-100k
Posted on 8/2/2026
22 applicants

Build the streaming data backbone behind renewable-energy forecasting models.

You will design ingestion and transformation pipelines that turn telemetry from 40,000 assets into forecasting-grade datasets.

Technology stack

PythonSnowflakedbtAirflowKafka

What you will do

  • Design streaming and batch pipelines on Kafka and Airflow
  • Model analytics-ready datasets with dbt on Snowflake
  • Partner with ML engineers on feature pipelines
  • Own data quality and lineage

Required skills

  • Python
  • SQL
  • dbt
  • Airflow
  • Kafka

Nice to have

  • Spark
  • Time-series modelling
  • Energy domain

Qualifications

  • 5+ years data engineering experience
  • Strong SQL and dimensional modelling
  • English; German is a plus

Benefits

  • 30 days annual leave
  • Deutschlandticket
  • Hybrid: 3 days on-site
  • Pension contribution

Interview process

  1. Application review

    A BrightSkill recruiter screens your profile against the client brief.

  2. Recruiter call

    A 30-minute conversation about your experience, goals and expectations.

  3. Technical assessment

    A practical exercise or live technical interview with our engineers.

  4. Client interview

    Meet the hiring team and see the product you would be working on.

  5. Offer

    We present the package, negotiate on your behalf and confirm terms.

  6. Onboarding

    Contracts, relocation support where relevant, and day-one readiness.