Senior Data Engineer / Analyst
Summary
Builds and maintains data pipelines, REST API integrations, and analytical dashboards for a global investment bank using Python, MS SQL, Streamlit, and Plotly.
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.
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)
SKILLS
Must have
- 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
Nice to have
n/a