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Data Engineer- Associate
BU3-Budapest-GTC White House, Vaci ut 47, District XIII, Budapest
·
On-site
·
Full-time
·
4w ago
必須スキル
Python
Java
SQL
AWS
PostgreSQL
Azure
Spark
About this role
About the Team:
Data and insights are critical to driving decisions, supporting innovation, and maintaining compliance with regulations across our product platform. To propel our product and commercial agenda in a more data-centric way, we have established a Chief Data Office and a supporting team that will oversee data strategy and management. This team will partner with various stakeholders to deliver the following:
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Data Strategy and Management: Standardize and scale the management of product-related data to generate essential insights, support strategic decision-making, and foster innovation.
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Technology Integration: Research and integrate emerging data technologies and methodologies to improve data capabilities and drive efficiency.
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Stakeholder Engagement and Data Due Diligence: Collaborate with leadership and stakeholders to prioritize data initiatives, help govern the evaluation and integration of new datasets and ensure data quality and compliance with regulations.
About the Role:
We are looking for a talented Data Engineer to join the Chief Data Office. This is a unique opportunity to be the first data engineer on the team, responsible for establishing the infrastructure and best practices for onboarding and maintaining data, as well as delivering insights to our stakeholders. You will partner with adjacent data engineering teams to utilize and expand existing infrastructure. As a lead, you will also play a crucial role in driving the overall data engineering strategy.
Key Responsibilities:
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Design, develop, and maintain scalable data pipelines and systems to support data integration and analytics.
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Establish best practices for data management, including data quality, data governance, and data security.
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Collaborate with stakeholders to understand data requirements and deliver actionable insights.
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Partner with adjacent data engineering teams to leverage and enhance existing data infrastructure.
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Implement and optimize data storage solutions to ensure efficient data retrieval and processing.
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Develop and maintain documentation for data engineering processes and systems.
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Lead and mentor junior data engineers and analysts, fostering a culture of continuous learning and improvement.
Qualifications:
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Proven experience as a Data Engineer or in a similar role.
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Strong knowledge of data engineering concepts, including ETL processes, data warehousing, and data modelling.
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Proficiency in programming languages such as Python, SQL, PostgreSQL, and Java.
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Experience with big data technologies such as Hadoop, Spark, and Snowflake.
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Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
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Excellent problem-solving skills and attention to detail.
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Strong communication and collaboration skills.
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Experience with batch processing and API integration.
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Experience or eagerness to learn how to maintain and serve data for generative AI applications.
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Familiarity with RAG (Retrieval-Augmented Generation) and vector databases.
Preferred Skills:
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Experience with data visualization tools such as Tableau or Power BI.
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Knowledge of machine learning and data science concepts.
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Familiarity with data governance frameworks and best practices.
Our benefits
To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.
Our hybrid work model
Black Rock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at Black Rock.
About Black Rock
At Black Rock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.
This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.
For additional information on Black Rock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrock
Black Rock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, race, religion, sex, sexual orientation and other protected characteristics at law.
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BlackRockについて

BlackRock
PublicMultinational investment company.
10,001+
従業員数
New York City
本社所在地
$114B
企業価値
レビュー
3.5
5件のレビュー
ワークライフバランス
2.2
報酬
3.5
企業文化
3.0
キャリア
4.2
経営陣
2.8
良い点
Fast-paced learning and development opportunities
Advanced technology and global platform
Good benefits and retirement packages
改善点
Poor work-life balance
High stress and competitive environment
Toxic work culture in some areas
給与 レンジ
4,680件のデータ
Junior/L3
L2
L3
L4
L5
L6
Junior/L3 · Analyst
1,924件のレポート
$118,963
年収総額
基本給
$100,050
ストック
-
ボーナス
$18,913
$81,954
$175,627
面接体験
6件の面接
難易度
3.3
/ 5
期間
14-28週間
内定率
17%
面接プロセス
1
HireVue
2
Online Assessment
3
Final Round/Superday
よくある質問
Technical interviews
Behavioral questions
Role-specific assessments
ニュース&話題
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