Data Engineer, Associate

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BlackRock Hungary Kft.
Munkavégzés helye

Hibrid • Budapest

Munkaidő, foglalkoztatás jellege
- Alkalmazotti jogviszony
- Általános munkarend
Elvárt technológiák
- ACCESS TESTING SQL PYTHON MACHINE LEARNING ANALYTICS CLOUD
Elvárások
- Angol középfok
- 3-5 év tapasztalat
- Főiskola

Állás elmentve

A hirdetést eltávolítottuk a mentett állásai közül.

Responsibilities

Data exploration, profiling, cleansing, and preprocessing
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
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 maintenance of 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 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 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 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 over $14 trillion in assets under management. 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. The team partners closely with Technology and Engineering teams to design and deliver high-impact data and visualisation tools for COO and Distribution stakeholders. BlackRock's products and technology empower millions of investors to save for retirement, pay for education, purchase homes, and improve their long-term financial wellbeing.