Állás részletei
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Cég neve
BlackRock Hungary Kft.
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Munkavégzés helye
Hibrid • Budapest -
Munkaidő, foglalkoztatás jellege
- Alkalmazotti jogviszony
- Általános munkarend
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Elvárt technológiák
- ACCESS TESTING SQL PYTHON MACHINE LEARNING ANALYTICS CLOUD
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Elvárások
- Angol középfok
- 3-5 év tapasztalat
- Főiskola
Kis türelmet...
Állás elmentve
A hirdetést eltávolítottuk a mentett állásai közül.
Állás leírása
Responsibilities
Data exploration, profiling, cleansing, and preprocessing for high-quality datasets
Design and management of workflows for storing and retrieving vectorised documents
Application of embedding models to build AI-driven solutions
Leveraging modern AI and machine-learning techniques including large language models and agent-based systems
Design, build, and maintenance of scalable ELT pipelines in Snowflake
Development and optimisation of Snowflake data models including schemas, views, and curated datasets
Implementation of robust data quality controls including validation, reconciliation, monitoring, and alerting
Partnership with central platform and data engineering teams to support Snowflake architecture
Writing high-quality, maintainable, tested, and documented code aligned with engineering best practices
Building and maintaining Streamlit applications for self-service data exploration and operational tooling
Translation of business questions into technical solutions delivering clear outputs and actionable insights
Design and management of workflows for storing and retrieving vectorised documents
Application of embedding models to build AI-driven solutions
Leveraging modern AI and machine-learning techniques including large language models and agent-based systems
Design, build, and maintenance of scalable ELT pipelines in Snowflake
Development and optimisation of Snowflake data models including schemas, views, and curated datasets
Implementation of robust data quality controls including validation, reconciliation, monitoring, and alerting
Partnership with central platform and data engineering teams to support Snowflake architecture
Writing high-quality, maintainable, tested, and documented code aligned with engineering best practices
Building and maintaining Streamlit applications for self-service data exploration and operational tooling
Translation of business questions into technical solutions delivering clear outputs and actionable insights
Requirements
Strong experience with Snowflake and advanced SQL including query optimisation and analytical data modelling
Knowledge of modern AI and machine-learning techniques including large language models, agent-based systems, embedding modes, and document vectorization
Experience developing and maintaining data transformation workflows using dbt within Snowflake
Proficiency in Python for data engineering and application development
Experience building Streamlit applications in an enterprise environment
Familiarity with modern data engineering practices including ELT/ETL patterns, incremental processing, scheduling, observability, and automated testing
Strong problem-solving mindset with ability to work independently and manage ambiguity
Strong communication skills for articulating technical concepts to non-technical stakeholders
Fluency in English both written and spoken
Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Statistics, or related quantitative discipline
Proven experience in data engineering, analytics engineering, or closely related technical role within cloud-based data platform environment
3–5 years of relevant experience in data engineering or related field within multinational or complex organisational environment
Knowledge of modern AI and machine-learning techniques including large language models, agent-based systems, embedding modes, and document vectorization
Experience developing and maintaining data transformation workflows using dbt within Snowflake
Proficiency in Python for data engineering and application development
Experience building Streamlit applications in an enterprise environment
Familiarity with modern data engineering practices including ELT/ETL patterns, incremental processing, scheduling, observability, and automated testing
Strong problem-solving mindset with ability to work independently and manage ambiguity
Strong communication skills for articulating technical concepts to non-technical stakeholders
Fluency in English both written and spoken
Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Statistics, or related quantitative discipline
Proven experience in data engineering, analytics engineering, or closely related technical role within cloud-based data platform environment
3–5 years of relevant experience in data engineering or related field within multinational or complex organisational environment
Nice-to-have
Experience working with commercial, sales, or distribution datasets
What we offer
Retirement investment and tools for financial future building
Access to education reimbursement
Comprehensive resources supporting physical health and emotional well-being
Family support programs
Flexible Time Off (FTO)
Hybrid work model with at least 4 days in office per week and 1 day remote work
Access to education reimbursement
Comprehensive resources supporting physical health and emotional well-being
Family support programs
Flexible Time Off (FTO)
Hybrid work model with at least 4 days in office per week and 1 day remote work
Company info
BlackRock is a global investment manager and fiduciary to clients, with a purpose to help everyone experience financial well-being. Since 1999, BlackRock has been a leading provider of financial technology, offering solutions for clients planning their most important goals.
How to apply
You can submit your application on the company's website, which you can access by clicking the „Apply on company page“ button.
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