Senior Data Engineer / Analyst

Project Description:

Our customer is a top-tier investment bank with client assets of hundreds of billion globally.

Reason to join us:

• We offer the opportunity to work in a highly professional environment where you will work with high-level financial instruments

• We want you to be part of our success story and give you reasons to be proud of what you achieved as part of our fabulous team

• We give you the opportunity to develop yourself and evolve in your career via our fantastic technical, business-related or soft skills training

• We encourage creative-thinking in our great open-minded work environment. Frequently the relaxation rooms are the place where the most ambitions ideas are born.

• We are not just professional teams, we are also friends that have fun working together

• If you are an active person and you feel motivated by the creation/development of the software solutions, then this is the place to be, you will not get bored.

• We are looking for a skilled resource to develop data solutions, integrating data via REST APIs, transforming and persisting it into MS SQL, and building analytical applications using Python.

Skills required:

• Strong Python and SQL (MS SQL) experience

• Experience with data transformation and ETL processes

• Knowledge of REST APIs and data integration

• Proven expertise in data visualization and application development using tools such as Streamlit and Plotly

• Familiarity with CI/CD and container environments

• Strong data analysis and problem-solving mindset

• Ability to communicate effectively with both technical and non-technical stakeholders

• Structured thinking and attention to detail

Responsibilities:

• Develop REST API integrations and data pipelines for ingestion and transformation

• Build and maintain data processing solutions using Python (Pandas, Jupyter)

• Store and manage data in MS SQL databases

• Develop interactive dashboards and data visualizations using Streamlit and Plotly

• Deploy solutions using CI/CD pipelines and containerization (Podman, VHS environment)