Jedox21.02.26
AI SCORE 8.5

Working Student – Financial Consolidation Solution Development (Remote)

$20K–$30K/year

About the Role

As a Working Student in Financial Consolidation Solution Development at Jedox, you will dive into the heart of our innovative projects. This remote position allows you to gain hands-on experience while you study, making it an ideal opportunity for students passionate about finance and technology. You will be part of our solution development team, actively contributing to the development of features for our financial consolidation product.

What You'll Do

  • Develop new features and enhancements for our Financial Consolidation product.
  • Contribute to data models and business logic that drive our solutions.
  • Support user story refinement and prototyping to ensure effective product development.
  • Integrate financial and operational data to enhance reporting capabilities.
  • Design ETL/ELT workflows to streamline data processing.
  • Work with APIs and connectors to facilitate system integration.
  • Contribute to AI-augmented features that enhance our product offerings.
  • Collaborate via GitHub to manage code and track changes effectively.
  • Test and validate new features to ensure they meet quality standards.

Requirements

  • Currently enrolled in a university program focusing on Computer Science, Information Systems, Business Informatics, Finance + IT, Mathematics, or a related field.
  • Strong technical skills in Python, scripting, data modeling, and ETL concepts.
  • Passion for finance, financial reporting, and enterprise software.
  • Interest in system integration, APIs, and structured data transformation.
  • Familiarity with GitHub or similar version control tools.
  • Good communication skills in English.
  • Hands-on experience across finance, data modeling, AI, and cloud EPM technologies is a plus.

Nice to Have

  • Experience with cloud technologies and financial software solutions.
  • Knowledge of data visualization tools.

What We Offer

  • Learn directly from senior experts in the field.
  • Gain hands-on experience in a tech-driven company.
  • Flexible working hours that align with your academic schedule.
  • Supportive team culture that fosters collaboration.
  • Clear learning path with opportunities for internships, thesis projects, and future full-time roles.
Language Requirements
EnglishB2
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

This internship offers a unique opportunity for students to gain hands-on experience in financial consolidation while working remotely. The supportive culture and clear learning path make it an attractive role.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

Proficiency in Python for data manipulation and analysis, with experience utilizing libraries such as Pandas and NumPy to streamline ETL processes.

Strong understanding of data modeling concepts and cloud technologies, particularly in designing efficient data structures for financial applications using platforms like AWS or Azure.

A proactive and self-motivated mindset that thrives in a remote work environment, demonstrating the ability to manage time effectively while juggling academic commitments and project deadlines.

Learning Resources

Python for Data Science Handbookguide

Career Path

Working Student – Financial Consolidation Solution Development(Now)Junior Data Engineer(1-2 years)Data Engineer or Financial Solutions Developer(3-5 years)

Market Overview

Python Market Size 2024
$15B
Annual Growth of Python
11.5%
AI Adoption in Python Projects
67%
Investment in Python-related Startups
+45%
Labour Demand for Python Developers
+23%
Avg Salary for Python Developers
$110K

Skills & Requirements

Required
PythonData ModelingETL
Growing in Demand
Machine LearningData Visualization (e.g., Tableau)Cloud Services (e.g., AWS, Azure)
Declining
PerlVisual Basic

Domain Trends

Rise of Data-Driven Decision Making
Companies are increasingly using Python for data analysis, with 80% of organizations adopting data-driven strategies by 2025.
Increased Adoption of Cloud Technologies
The use of Python in cloud environments has risen by 50%, driven by the need for scalable data solutions.
Growth of AI and Machine Learning Applications
The demand for Python in AI/ML projects is expected to grow by 30% annually, with Python being the primary language for 75% of AI initiatives.

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