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Database Architect / Data Architect Role (Financial Market Risk Area)
  • Warsaw
Database Architect / Data Architect Role (Financial Market Risk Area)
Warszawa, Warsaw, Masovian Voivodeship, Polska
Luxoft
28. 2. 2025
Informacje o stanowisku

Project description

We are a leading international bank focused on helping people and companies prosper across Asia, Africa and the Middle East. To us, good performance is about much more than turning a profit. Its about showing how you embody our valued behaviors - do the right thing, better together and never settle - as well as our brand promise, Here for good. Were committed to promoting equality in the workplace and creating an inclusive and flexible culture - one where everyone can realize their full potential and make a positive contribution to our organization. This in turn helps us to provide better support to our broad client base.

About the Team

Financial Markets (FM) has expertise combined with deep local market knowledge to deliver a variety of risk management, financing and investment solutions to our clients. The FM team offers capabilities across origination, structuring, sales, trading and research. Offering a full suite of fixed income, currencies, commodities, equities and capital markets solutions, FM has firmly established itself as a trusted partner with extensive on-the-ground knowledge and deep relationships.

Responsibilities

  • Own the Market Risk Platform data model
  • Collaborate closely with Business Analysts to capture requirements affecting the data model
  • Design database objects according to business requirements
  • Present data model changes to the architecture council
  • Perform optimization and performance tuning
  • Ensure compliance with the agreed design and consistency of naming conventions

Skills

Must have

  • Over 10 years of experience as a database developer, including recent experience as database / data architect
  • Exceptional data modelling skills
  • In-depth knowledge of database technologies, with a preference for ClickHouse; experience with MS SQL or Oracle is also acceptable
  • Strong data analytical skills using SQL and Python (pandas)
  • Familiarity with data models used in Financial Markets and Market Risk business domains

Nice to have

ClickHouse

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