Platform Engineer - Data & Automation (Early Career & Senior)

Who are we?
We are Exaloan, a FinTech based in Frankfurt, Germany, specializing in developing AI-based credit analytics. We provide professionally managed access to diversified portfolios of loans originated by FinTech & Alternative lenders across Specialty Finance, SME and Consumer sectors. As a result, we operate at the intersection of asset management, software development, machine learning and generative AI with the ambition to drive innovation in one of the fastest-growing FinTech sectors. And we are unstoppable to reach our goals.

Who are we looking for?
We are looking for a versatile Platform Engineer who combines strong software development skills with DevOps expertise. You will build critical data infrastructure and automation tools that power our credit analytics platform. You are someone who enjoys solving complex data integration challenges and takes ownership of building scalable, maintainable solutions.

Your role
You will collaborate directly with founding partners who are seasoned experts across key domains integral to our work: capital markets, portfolio management, banking law, software engineering, machine learning, and generative AI.
From your first day, you will own the critical data pipeline between our lending platform integrations and our AI-powered scoring models.

Tech Stack
Python, FastAPI, Celery, ArangoDB, AWS (ECS, Lambda, CloudWatch), Docker, Data processing libraries (pandas, etc.), REST APIs, Bitbucket

Key Responsibilities

• Design and build robust data ingestion pipelines that integrate multiple lending platforms into our standardized data model.
• Develop and improve mapping algorithms to transform heterogeneous data sources into clean, consistent formats for ML modeling and data analytics.
• Create automated solutions for analytics reporting, replacing manual processes with scalable systems.
• Build tools and frameworks that accelerate the onboarding of new lending platforms and data sources.
• Implement data quality monitoring, validation, and error handling throughout the pipeline.
• Develop internal tooling to improve team productivity and platform operations.
• Ensure all solutions are production-ready with proper monitoring, logging, and alerting.
• Manage the infrastructure and deployment of data processing systems using AWS services.
• Optimize performance and costs of data processing workflows and storage.
• Collaborate closely with the data science and business development teams to ensure data meets modeling and reporting requirements.

Your profile

• Strong software development experience with Python, particularly in data processing and pipeline development.
• Experience building ETL/ELT pipelines and working with diverse data sources and formats.
• Proficiency in data processing libraries (pandas, NumPy) and frameworks (Apache Airflow, Prefect, or similar).
• Hands-on experience with REST APIs and integrating third-party platforms.
• Solid understanding of data modeling, schema design, and data quality practices.
• Experience with AWS services, particularly for data processing (Lambda, ECS, S3, etc.).
• Knowledge of Infrastructure as Code and CI/CD practices.
• Experience with containerization (Docker) and deployment automation.
• Understanding of monitoring and observability for data systems.
• Familiarity with ArangoDB or other NoSQL databases is advantageous.
• Experience with financial or lending data is a plus.
• Knowledge of analytics and reporting tools is beneficial.
• Strong problem-solving skills with attention to data accuracy and reliability.
• Ability to work independently and take ownership of complex technical challenges.
• Exceptional written and verbal communication skills in English.

What we offer

• Flexible working schedule.
• Professional and experienced team.
• International environment and network.
• Central office in the heart of Frankfurt.
• Direct involvement in the entire trajectory of the firm.
• The possibility to grow and scale your role along the growth of Exaloan.

We hire for talent; hence you will be able to develop your role according to your personal goals and position yourself where you can make the biggest impact and contribution.
If you think you are a good fit for our team, send your application now!