Senior Data Engineer

Our Client; Berlin; Remote; EUR 65.000 - 85.000; Vollzeit

Zusammenfassung

A leading fintech company is hiring a Senior Data Engineer to enhance their internal data platform. This fully remote role in Germany emphasizes autonomy and innovation. Candidates should have 5+ years of experience, expertise in Spark and AWS, and strong programming skills in SQL, Python, and Scala. Fluency in German and English is required.

Qualifikationen

• 5+ years as a Data Engineer, with expertise in Spark (Databricks) and AWS.
• Strong programming skills in SQL, Python, and Scala.
• Experience designing big data architectures and improving existing ones.
• Solid understanding of CI/CD, infrastructure as code, and pipeline monitoring.
• Passion for empowering domain teams to work independently with data products.
• Fluent German and English.

Aufgaben

• Lead the next phase of development for the company's internal data platform and architecture.
• Design and implement robust ETL/ELT pipelines, ensuring reliable and high-quality data access across the business.
• Work cross-functionally with backend, product, analytics, and ML teams.
• Own and maintain the CI/CD and infrastructure pipelines for data products.
• Contribute to a culture of clean, scalable, and well-documented data products.

Kenntnisse

Data Engineering

Spark (Databricks)

AWS

SQL

Python

Scala

CI/CD

Infrastructure as Code

Pipeline Monitoring

Fluent in German

Fluent in English

Jobbeschreibung

We're hiring on behalf of a fintech business that's rethinking how consumers manage their finances. As they grow, they're looking to strengthen their Data Engineering team with a Senior Data Engineer to help shape the future of their internal data platform.

This is a permanent position, fully remote within Germany, with a strong focus on autonomy, ownership, and innovation.

What you'll be doing:

• Lead the next phase of development for the company's internal data platform and architecture

• Design and implement robust ETL/ELT pipelines, ensuring reliable and high-quality data access across the business

• Work cross-functionally with backend, product, analytics, and ML teams to support their data needs

• Own and maintain the CI/CD and infrastructure pipelines for data products

• Contribute to a culture of clean, scalable, and well-documented data products with a strong focus on usability and developer experience

What you'll bring:

• 5+ years as a Data Engineer, with expertise in Spark (Databricks) and AWS

• Strong programming skills in SQL, Python, and Scala

• Experience designing big data architectures and improving existing ones

• Solid understanding of CI/CD, infrastructure as code, and pipeline monitoring

• Passion for empowering domain teams to work independently with data products

• Fluent German and English

To be considered, please respond with your latest CV in English.