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 SECURITY
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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
Exploration, profiling, cleansing, and preprocessing of data for analytics and reporting
Design and management of workflows for storing and retrieving vectorised documents to support AI-enabled use cases
Application of embedding models to build AI-driven solutions
Leveraging modern AI and machine-learning techniques including large language models and agent-based systems to enhance data workflows and automation
Design, building, and maintenance of scalable ELT pipelines in Snowflake covering data ingestion, transformation, and publication layers
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 including performance tuning, warehouse optimisation, security patterns, and cost-effective usage
Writing high-quality, maintainable, well-tested, and documented code aligned with engineering best practices
Building and maintenance of Streamlit applications for self-service data exploration, operational tooling, and lightweight analytics
Translation of business questions into technical solutions delivering clear outputs and actionable insights
Design and management of workflows for storing and retrieving vectorised documents to support AI-enabled use cases
Application of embedding models to build AI-driven solutions
Leveraging modern AI and machine-learning techniques including large language models and agent-based systems to enhance data workflows and automation
Design, building, and maintenance of scalable ELT pipelines in Snowflake covering data ingestion, transformation, and publication layers
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 including performance tuning, warehouse optimisation, security patterns, and cost-effective usage
Writing high-quality, maintainable, well-tested, and documented code aligned with engineering best practices
Building and maintenance of Streamlit applications for self-service data exploration, operational tooling, and lightweight analytics
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 including modular modelling, testing, and documentation
Proficiency in Python for data engineering and application development including data processing, orchestration patterns, and reusable components
Experience building Streamlit applications ideally 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 with ability to articulate 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 ideally within a 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 including modular modelling, testing, and documentation
Proficiency in Python for data engineering and application development including data processing, orchestration patterns, and reusable components
Experience building Streamlit applications ideally 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 with ability to articulate 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 ideally within a 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 building a sound financial future
Access to education reimbursement
Comprehensive resources to support physical health and emotional well-being
Family support programs
Flexible Time Off (FTO)
Hybrid work model with requirement to work at least 4 days in office per week and flexibility to work from home 1 day a week
Access to education reimbursement
Comprehensive resources to support physical health and emotional well-being
Family support programs
Flexible Time Off (FTO)
Hybrid work model with requirement to work at least 4 days in office per week and flexibility to work from home 1 day a week
Company info
BlackRock is a global investment manager and fiduciary to clients, with over $14 trillion in assets under management. Since 1999, BlackRock has been a leading provider of financial technology, helping millions of investors save for retirement, pay for education, purchase homes, and improve their long-term financial wellbeing. The Analytics and Automation team within the EMEA Core COO organisation leverages technology, data, and AI to deliver management information and analytics that drive actionable insights into sales performance and client engagement across the EMEA client businesses.
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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