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 ANALYTICS
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 for 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
Partnership with Central Platform and Data Engineering Teams for Snowflake Architecture Support
Writing High‑Quality, Maintainable, Tested, and Documented Code
Building and Maintenance of Streamlit Applications for Data Exploration and Operational Tooling
Translation of Business Questions into Technical Solutions and Delivery of 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 and Ability to Work Independently
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
3–5 Years of Relevant Experience in Data Engineering or Related Field within a 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 for Physical Health and Emotional Well‑Being
Family Support Programs
Flexible Time Off (FTO)
Hybrid Work Model with 4 Days in Office and 1 Day Remote Work per Week

Company info

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 plays a critical role in shaping how BlackRock sells to and services its clients, enabling better decision‑making through the effective use of data. 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 is a global investment manager and fiduciary to clients, with over $14 trillion in assets under management, providing products and technology that empower millions of investors to save for retirement, pay for education, purchase homes, and improve their long‑term financial wellbeing.