Full-Time Senior Data Engineer

Develop our scalable cloud-based data backbone driving our data-driven company using the most up-to-date technologies.

Shape an AWS based streaming and batch data processing solution, ingesting data from 3rd party and internal backend services.

Create a financial data warehouse combining latest technologies with regulatory requirements.

Prepare and clean structured and unstructured data, developing high-quality data models for advanced analytics, machine learning, and AI use cases.

Work with highly ambitious and skilled people in our growing data department.

Work closely with data scientists, product & development colleagues to release smart features.

Build interactive dashboards and reporting solutions for management, marketing, sales, and quantitative research.

Share your expert knowledge about data best practices.

Requirements:

• Excellent University degree (Computer Science, Math, Natural Sciences).
• Relevant working experience designing and operating data pipelines in AWS.
• Excellent SQL skills, including advanced concepts like window functions (dbt experience a plus).
• Strong Python programming skills, including frameworks like PySpark.
• Knowledge of Java and Kotlin is a plus.
• Experience with AWS Services (S3, Athena, Redshift, Glue).
• Experience using infrastructure-as-code tools (like Terraform).
• Passion for everything-as-code, well-architected, testable, and documented code.
• Data-driven and capable of explaining complex concepts simply.
• Experience with agile frameworks like Scrum.
• Interest in financial services and markets.
• Fluent English communication and presentation skills.
• Positive outlook and sense of humor.

Benefits:

• Be part of a fast-growing Fintech startup.
• Work with an international and diverse team.
• Enjoy an office in Munich, Berlin or remote work (Germany).
• Latest hardware and tools.
• In-house knowledge sharing sessions.
• Education Budget.

What is the last date for applying to the job?

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