Consultant - Python
About us
WHY LINEDATA ?
Join us in shaping the fintech of tomorrow.
With more than 1,350 colleagues across 20 locations worldwide,
you'll help build cutting-edge platforms and tailored services that power
the daily operations of 700 leading financial institutions. As a global,
multicultural company with over 45 nationalities represented and just
as many languages spoken, we thrive on diverse perspectives and collaboration.
Together, we tackle future-focused topics like Al and the digitalization of finance,
delivering smart solutions for our customers.
Whether you're just beginning your career or are an experienced professional,
Linedata offers exposure to large-scale client projects, internal mobility
and opportunities to develop your skills alongside leading experts.
À propos de nous
POURQUOI LINEDATA ?
Rejoignez-nous pour façonner la fintech de demain.
Avec plus de 1 350 collaborateurs répartis dans 20 bureaux à travers le monde,
vous participez à la création de plateformes logicielles de pointe et de services
sur mesure qui soutiennent les opérations quotidiennes de 700 grandes institutions
financières. Groupe mondial et multiculturel avec plus de 45 nationalités et tout
autant de langues parlées, nous valorisons la diversité des perspectives et la collaboration.
Ensemble, nous relevons des défis d’avenir tels que l’intelligence artificielle et la
digitalisation de la finance, en offrant des solutions ingénieuses et intelligentes à nos clients.
Que vous soyez au début de votre carrière ou un(e) professionnel(le) expérimenté(e),
Linedata vous offre l’opportunité de travailler sur des projets d’envergure,
d’évoluer en interne et de développer vos compétences aux côtés d’experts renommés.
Python Specialist – Data Processing & Analysis
Job Title: Python Developer – Pandas Specialist
Experience: 3–6 years
Job Summary:
We are looking for a skilled Python developer with hands-on experience in data manipulation and analysis using Pandas. The ideal candidate should have strong problem-solving skills and experience working with large datasets in real-world applications.
Key Responsibilities:
- Write efficient, scalable Python code for data processing and transformation.
- Perform complex data manipulation using Pandas, NumPy, and other scientific libraries.
- Clean, transform, and analyze large volumes of structured and unstructured data.
- Develop scripts and tools to automate workflows.
- Collaborate with data engineers and analysts to optimize data pipelines.
- Participate in code reviews and follow best practices in version control (Git).
Required Skills:
- Strong proficiency in Python, especially with Pandas and NumPy.
- Experience working with data files in formats like CSV, Excel, JSON, and SQL.
- Familiarity with Jupyter Notebooks, API integrations, and data visualization tools (e.g., Matplotlib, Seaborn).
- Experience with SQL queries and relational databases.
- Good understanding of software development lifecycle and version control (Git).
Good to Have:
- Exposure to machine learning libraries (e.g., scikit-learn).
- Experience with cloud platforms (AWS/Azure/GCP) or data lake frameworks.
- Familiarity with Airflow, Spark, or other data orchestration tools.