Data Engineering, Associate / Vice President @ BlackRock

About this roleAt BlackRock, we are looking for a Senior Data Engineer who enjoys building and supporting high impact data pipelines to solve complex challenges while working closely with your colleagues throughout the business.We recognize that strength comes from diversity, and will embrace your outstanding skills, curiosity, drive, and passion while giving you the opportunity to grow technically while learning from hands-on leaders in technology and finance.With over USD $11 trillion of assets we have an outstanding responsibility: our technology empowers millions of investors to save for retirement, pay for college, buy a home and improve their financial wellbeing.Being a financial technologist at BlackRock means you get the best of both worlds: working for one of the most successful financial companies and also working in a software development team responsible for next generation technology and solutions.We are seeking a high-reaching individual to help drive financial data engineering projects for the BGM DnA ("Data and Analytics") team in Budapest. We are a community of highly qualified Data Engineers, Content & DevOps Specialists who have a passion for working on data solutions that help drive the agenda for our business partnersOur team is based in San Francisco, London, Budapest, and Mumbai.About BlackRock Global MarketsBlackRock Global Markets (“BGM”) functions are at the core of BlackRock’s markets and investments platform, including ETF and Index Investments (“Engine”), Global Trading, Securities Lending, Fixed Income, Liquidity and Financing. BGM is passionate about advancing the investment processes and platform architecture in these areas and on ensuring we engage with other market participants in a collaborative, strategic way.You should be:Someone who is passionate about solving sophisticated business problems through data!Capable of overseeing the design, implementation, and optimization of data pipelines, ETL processes, and data storage solutionsAble to work closely with multi-functional teams (e.g., Data Science, Product, Analytics, and Citizen…

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