Full-Time Senior Data Engineer (Germany)

Develop our scalable cloud-based data backbone.
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, and develop high-quality data models for advanced analytics, machine learning, and AI use cases.

Work with skilled people in our growing data department.

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

Build interactive dashboards and reporting solutions to support stakeholders (management, marketing, sales, quantitative research).

Share your expert knowledge about data best practices.

Required Skills:

• Excellent University degree in computer science, mathematics, natural sciences, or similar field.
• Relevant working experience.
• Experience designing and operating data pipelines in AWS.
• Excellent SQL skills, including advanced concepts like window functions; experience with dbt is a plus.
• Very good programming skills in Python, 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 good with numbers, explaining complex concepts simply.
• Experience using agile frameworks like Scrum.
• Interest in financial services and markets.
• Fluent English communication and presentation skills.
• Sense of humor and positive outlook.

Benefits:

• Be part of a fast-growing, visible Fintech startup.
• International, diverse, inclusive team.
• Great office location in Munich or Berlin (remote within 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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