Associate, Application Engineer at BlackRock

Budapest, Central Hungary, Hungary -

Full Time

Start Date

Immediate

Expiry Date

21 May, 26

Salary

0.0

Posted On

20 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Python, RDBMS, Big Data structures, Snowflake, ETL, Airflow, DBT, CI/CD, Azure, API Frameworks, AI-assisted development, Data Governance, Data Pipelines, Communication, Teamwork

Industry

Financial Services

Description

About this role The Team: The Global Marketing & Digital Wealth organization at BlackRock is a forward-looking, globally connected team at the center of the firm’s most high-impact priorities. We are architects of growth, working across functions and markets to unlock opportunities and accelerate outcomes for the business. In collaboration with both internal and external partners, we design the conditions for success—delivering next-generation campaigns, brand platforms, communications, training, and client experiences. Our work is powered by world-class centers of excellence spanning content strategy, research & analytics, and digital platforms & experiences. BlackRock is looking for a data engineer to join the Digital Data Engineering team. In this role, you will help develop data integrations between BlackRock’s internal data systems and our external marketing technology platforms. You will work with business partners to develop data structures, build ETL pipelines, and implement appropriate data governance and monitoring. As part of BlackRock’s Digital organization, this role supports our mission to create AI-enabled, personalized and scalable marketing experiences. You will build the data foundations that power next generation digital platforms, audience personalization, and intelligent activation across a global ecosystem. Responsibilities: Design and build scalable data pipelines that support AI-enabled digital experiences, personalization, and marketing automation. Leverage AI-driven development and testing tools to increase engineering quality, speed, and reliability. Contribute to ongoing platform modernization efforts across Martech, content, analytics, and web ecosystems. Collaborate with cross-functional stakeholders to ensure data is structured and governed in ways that accelerate downstream personalization and analytics use cases. Architect and develop data solutions to bring new datasets into digital ecosystem including Private Markets data and product data. Core Skills: You have flawless written and verbal communication and ability to gain buy-in on plans from a non-technical audience You have experience working with a broad set of stakeholders, including non-technical and non-quantitative people. You are comfortable using AI tools to enhance development workflows, such as prototyping, testing, documentation, and data validation. You have a strong desire to develop creatively and promote innovation. You're self-motivated and able to think big while also taking direction and feedback. You have excellent teamwork and collaboration skills. Qualifications: 5+ years’ experience in in SQL and Python, with experience in both RDBMS and Big Data structures. Existing experience with Snowflake-specific concepts is desirable. Familiarity with using AI-assisted development tools (e.g., code generation, code review, unit test development) to improve quality and delivery efficiency. ETL and pipeline development experience with Airflow and DBT. CI/CD experience with Azure and understanding of API frameworks is a plus. B.S. / M.S. degree in Computer Science, Engineering, or a related discipline. Knowledge of Marketing technology platforms is desirable, but not required (e.g., Eloqua/Marketo, web analytics platforms, customer data platforms). Relentless desire for understanding how processes work. Creativity in solving unconventional problems. Adaptability and resiliency when overcoming challenges. 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 BlackRock’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 BlackRock. About BlackRock At BlackRock, 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 BlackRock, please visit @blackrock | Twitter: @blackrock | : BlackRock 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.

Responsibilities

The role involves designing and building scalable data pipelines to support AI-enabled digital experiences, personalization, and marketing automation, while leveraging AI-driven tools to enhance engineering quality and reliability. Responsibilities also include contributing to platform modernization and architecting data solutions for new datasets within the digital ecosystem.