Senior Data Engineer

Proxify; Deutschland; Remote; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

A leading tech recruitment firm is seeking a Senior Data Engineer in Germany. The ideal candidate will have over 5 years of experience in Data Engineering, focusing on designing data architectures and implementing ETL processes. Responsibilities include developing scalable data infrastructures and ensuring data quality. The position offers flexible work-life balance and predictable project hours.

Leistungen

Flexible withdrawal options

Up to 24 flex days off per year

Harmonious work-life balance

Career-accelerating positions

Qualifikationen

• Minimum of 5 years of professional experience in Data Engineering.
• Proven experience designing and implementing data architectures and ETL processes.
• Strong understanding of data modelling concepts.

Aufgaben

• Design and maintain scalable data architectures, including data warehouses and ETL processes.
• Lead the development of robust ETL processes to ensure data flow between systems.
• Collaborate with teams to integrate data from various sources, ensuring data quality.

Kenntnisse

SQL

Python

ETL

Tools

Apache Spark

Amazon Redshift

Google BigQuery

Snowflake

AWS

GCP

Azure

Jobbeschreibung

The Role:

We are looking for a Senior Data Engineer for one of our clients. You are a perfect candidate if you are growth‑oriented, you love what you do, and you enjoy working on new ideas to develop exciting products.

What we’re looking for:

• Minimum of 5 years of professional experience in Data Engineering.
• Proven experience designing and implementing data architectures and ETL processes.
• Proficiency in data engineering tools and languages (e.g., Python, SQL, Apache Spark).
• Experience with data warehouse platforms (e.g., Amazon Redshift, Google BigQuery, Snowflake).
• Familiarity with cloud platforms (AWS, GCP, or Azure).
• Strong understanding of data modelling concepts and the ability to design effective data models.
• Data Governance: Knowledge of data governance principles, data quality management, and data security best practices.
• Time zone: CET (+/- 3 hours). We are unable to consider applications from candidates in other time zones.

Must‑have skills:

• SQL
• Python / Java
• ETL

Responsibilities:

• Design, implement, and maintain scalable and efficient data architectures, including data warehouses, data lakes, and ETL processes.
• Lead the development of robust and scalable Extract, Transform, Load (ETL) processes to ensure the seamless flow of data between systems.
• Collaborate with cross‑functional teams to integrate data from various sources, ensuring data quality, consistency, and accuracy.
• Develop and implement data models to support business requirements, ensuring data is structured for optimal performance and analytical capabilities.
• Identify and address performance bottlenecks within the data infrastructure, optimising queries and processes for efficiency.
• Implement and enforce data governance policies, ensuring compliance with data privacy regulations and maintaining data security.
• Implement automation strategies for data processing, monitoring, and maintenance tasks, reducing manual intervention and improving reliability.

What we offer:

Get paid, not played.

No more unreliable clients. Enjoy on‑time monthly payments with flexible withdrawal options.

Predictable project hours.

Enjoy a harmonious work‑life balance with consistent 8‑hour working days with clients.

Flex days, so you can recharge.

Enjoy up to 24 flex days off per year without losing pay, for full‑time positions found through Proxify.

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Compensation

Enjoy the same pay, every month with positions landed through Proxify.