Job
- Level
- Senior
- Job Field
- Software, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Stuttgart, Berlin
- Working Model
- Onsite
Job Summary
In this role, you will develop Python-based applications for digital Financial Due Diligence, taking full responsibility from architecture to analysis, fulfilling requirements from expert teams.
Job Technologies
Your role in the team
- We develop data-driven, AI-enhanced applications for Financial Due Diligence and take end-to-end responsibility for them — from architecture and operation to production deployment.
- Become part of our interdisciplinary Transaction Advisory Services (TAS) team and shape the digital Financial Due Diligence of tomorrow together with our Data Science team.
- You design and develop our Python-based FDD applications comprehensively - from data preparation and automated analyses to user-friendly interfaces for our specialist teams and report generation in Excel and PowerPoint.
- Together with our FDD teams, you will gather technical requirements, create proof-of-concepts & mock-ups, and independently translate them into stable, maintainable applications.
- You utilize methods and libraries from Data Science, Machine Learning, and Artificial Intelligence in the context of Due Diligence, for example, for bulk data analysis from ERP and accounting data.
- You promote the principles of Clean Code and Architecture, participate in code reviews, and work closely within the agile team to continuously improve our processes.
- You actively contribute your own creative and innovative solutions and technologies.
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Our expectations of you
Qualifications
- Basic knowledge of TypeScript is desirable (web frameworks like React or Svelte are a plus).
- Knowledge of Excel automation is a plus.
- Proficient in Docker and Linux, basic knowledge of Kubernetes is a plus.
- You think in products, not just in tickets.
- You have the ambition to build solutions that are technologically sustainable and user-friendly.
- You are interested in topics related to Finance, Accounting, or Transaction Advisory and enjoy delving into technical issues.
- Fluent English skills are a prerequisite (at least C1), German skills are a strong plus.
Experience
- You have at least 3 years of professional experience, with a significant part in the development of frontend and backend components.
- You have extensive experience in Python (ideally including pandas, scikit-learn, and the common Data Science stack).
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What we offer
- With us, you actively drive digital Financial Due Diligence — short decision-making paths, real scope for shaping, and visible impact in a growing tech sector that you help shape from the very beginning.
- You work on cutting-edge topics and ensure that your colleagues in the department are supported with modern methods.
- Your solutions are directly applied in everyday transactions.
- Our digital onboarding tool enables you to start smoothly without complicated hurdles and question marks in your mind.
- Additionally, your mentor will be by your side with advice and support.
- Our innovative, nationwide team considers each individual as a unique person and highly values the team spirit.
- We provide you with a gross monthly amount of 100 EUR, which you can use flexibly and sustainably to meet your needs in a tax-optimized manner — whether for public transportation, single tickets, or the Deutschlandticket.
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Benefits
Health, Fitness & Fun
Work-Life-Integration
Topics You Will Work On
Job Locations
About Your Employer
Ebner Stolz
Our success principle is based on a clear personnel structure: our clients can rely on a fixed contact person with extensive, specialized knowledge and experienced mandate team. If necessary, we involve an Ebner Stolz specialist with expert knowledge for complex questions and special tasks. From the Income Tax Code to customs law, from commercial law to IFRS and from legal pitfalls to entrepreneurial challenges - we have proven experts for every question among our more than 1,700 partners and employees.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Law, Finance, Economics
Senior Full Stack Python Developer - Transaction Advisory Tech
- Location
- Stuttgart, Berlin
- Working Model
- Onsite
- Diversity
- Open for all genders
