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Senior Data Engineer / Analyst

Sales Consulting · București, Bucharest, Romania

Data Science / AI / Machine LearningSenior LevelExternal listingfull-time22 days ago

About The Role

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)

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