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🔥 Data Engineer (AWS / Azure / Databricks)

We are looking for an experienced Data Engineer for a project with a major German Enterprise client.

In this role, you will work with scalable cloud infrastructure, design DWH architecture, and optimize production data pipelines for international teams.

📌 Format: 100% Remote

💼 Contract Type: B2B Freelance

🌍 Location: Remote within EU (must hold EU Citizenship, PR, or a valid EU Work/Residence Permit)

🗣 Languages: English — B2+ / C1 (German is a plus, but not required)

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🛠 Responsibilities:

* Develop, optimize, and maintain reliable ETL/ELT data pipelines in a cloud environment.
* Design and scale Data Warehouse / Data Lake architecture.
* Integrate new data sources while ensuring high data quality, stability, and performance.
* Automate processes and collaborate closely with Analytics, BI, and DevOps teams.

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🎯 Requirements (Must-have):

* 3+ years of experience as a Data Engineer in an enterprise environment.
* Strong proficiency in Python and Advanced SQL.
* Deep understanding of ETL/ELT concepts, data pipeline development, and Data Warehousing.
* Hands-on experience with cloud platforms (AWS or Azure).
* Hands-on experience with modern data processing platforms (Databricks / PySpark).
* English proficiency at B2+ or higher (comfortable with fluent technical communication).

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⭐️ Nice-to-have:

* Experience with dbt, Snowflake, or Azure Data Factory.
* Knowledge of Terraform / CI/CD / DataOps practices.
* Experience with real-time streaming technologies (Kafka / Azure Event Hub).
* Understanding of data modeling methodologies (e.g., Data Vault 2.0).
* Experience with enterprise integrations (SAP, REST APIs).

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📩 To Apply:
Send your CV and expected hourly rate to @elizabeth_interexy