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Data Engineer

freelance.ca

Hamburg

Remote

EUR 70.000 - 90.000

Vollzeit

Heute
Sei unter den ersten Bewerbenden

Zusammenfassung

A remote consulting company is seeking a Data Engineer (m/f/d) to build and refactor datasets, design data models, and work with stakeholders in Hamburg. The role requires strong experience in Python, dbt, Apache Airflow, and willingness to optimize data solutions. This freelance role demands collaboration with product managers and engineers, offering full-time remote engagement starting in Q4 2025.

Qualifikationen

  • Strong experience with Python and data modeling.
  • Proven ability to optimize data models and pipelines.
  • Experience collaborating with cross-functional teams.

Aufgaben

  • Refactor existing datasets and build new, high-quality datasets.
  • Design and implement data models using Cube.js.
  • Work closely with stakeholders to understand data requirements.

Kenntnisse

Python
dbt
git
Apache Airflow
AWS Athena
QuickSight
Cube.js
Large language models (LLMs)
Jobbeschreibung
Overview

For our customer from Hamburg wer are looking for a Data Engineer (m / f / d) via remote.

Responsibilities
  • Refactor existing datasets and build new, high-quality datasets.
  • Design and implement data models using Cube.js for interactive, web-based dashboards.
  • Work closely with stakeholders to understand data requirements and deliver datasets that support both analytical and operational use cases.
  • Collaborate with data platform teams to ensure alignment with internal infrastructure, data protection, and privacy regulations.
What You Bring
  • Strong experience with Python, dbt, git, Apache Airflow, AWS Athena, QuickSight, Cube.js.
  • Proven ability to optimize data models and pipelines for performance, reliability, and cost-efficiency.
  • Experience working with cross-functional teams, including product managers, data analysts, data scientists, and software engineers.
  • Familiarity with collaborating with data platform teams to integrate solutions into broader infrastructure.
  • Bonus : Experience using large language models (LLMs) for intelligent text classification, metadata enrichment, content tagging, or automated data labeling.
Details
  • Start : Q4 2025
  • Engagement : Full-time freelance (40 hours / week)
  • Location : Remote
  • Languages : English (must have), German (nice to have)
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