- Location
- BU3-Budapest-GTC White House, Vaci ut 47, District XIII, Budapest, Hungary
- Workplace
- Hybrid
- Type
- Full-time
- Department
- Engineering
- Education
- Certification
- Closing date
- Today
- Source
- Workday
Description
About this role
Job description:
BlackRock Global Markets (“BGM”) functions are at the core of BlackRock’s markets and investments platform, including Index Investments, Markets, Liquidity & Financing, and Platform & Strategy. BGM is passionate about advancing investment processes and platform architecture in these areas and on ensuring we engage with other market participants in a collaborative, strategic way.
You should be
Someone who is passionate about solving sophisticated business problems through data
Capable of delivering the design, implementation, and optimization of data pipelines, ETL processes, and data storage solutions
Able to work closely with multi-functional teams (e.g., Data Science, Product, Analytics, and Citizen Developer teams) to ensure the data infrastructure meets business needs.
Enthusiastic about establishing and maintaining standard methodologies for data engineering, focusing on data quality, security, and scalability.
Do you have these essential skills?
1+ years Data Engineering experience preferably in the financial sector
Strong Python & SQL skills with a proven track record optimizing SQL queries and building Python utilities to facilitate data processing.
Experience with SnowFlake, PostgreSQL, Greenplum or similar databases.
Strong problem solving skills.
If you do, then we want you to apply!
We value if you have
Bachelor’s degree in Computer Science, Engineering, Finance, Economics, or a related field. A Master’s degree or equivalent experience is a plus.
Some experience with ETL/ELT tools like DBT, Pentaho, Informatica or similar technologies a plus.
Knowledge of Linux and scripting languages such as Bash
Proven experience working in an agile development team.
Experience with DevOps and tools like Azure DevOps
Please note: This is a fixed-term position currently expected to end on 31 December 2027, in line with the planned completion of the EDP transition program. Should the project continue beyond this timeframe, the position may be extended until the project concludes, subject to the employer's decision and business requirements.
The salary range for Hungary is 9785000 - 13400000 HUFAdditionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits. BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance.
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.
Guidance on AI use for candidates
At BlackRock, AI has long been part of how we work – enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, we’ve provided guidance on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self.
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.
To learn more about BlackRock, please visit Careers.BlackRock.com. We also encourage you to get to know us on LinkedIn, Instagram, YouTube, X, and TikTok.
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.