Python Data Engineer, Aladdin Data, Associate

About this role

About Aladdin Data & EDP
Aladdin Data is responsible for the data platforms, products, and engineering capabilities that power BlackRock’s Aladdin ecosystem. It enables the delivery of trusted, governed, and scalable data and analytics that support investment decisions, risk management, operations, and client solutions across the firm. 

At the heart of this organisation is the Enterprise Data Platform (EDP)—BlackRock’s strategic data platform and the foundation for how data products are built, governed, and consumed at scale. EDP powers the acquisition, processing, governance, and distribution of data across Aladdin and BlackRock, enabling everything from investment workflows and analytics to AI-driven solutions. As an engineer in EDP, you will help build the core platform capabilities that underpin BlackRock’s data ecosystem and support the firm's vision of delivering trusted data as a product at enterprise scale.

The Associate - Data Platform Engineer engages in projects from the start, including:

• Refining requirements
• Designing, developing, testing, deploying, and maintaining Enterprise Data Platform (EDP) enabling core framework components

Data Platform Engineer engages in projects from the start, including refining requirements and designing, developing, testing, deploying, and maintaining Enterprise Data Platform (EDP) enabling core framework components. Key tasks include automating data pipelines, supporting teams using the framework, adhering to data platform standards, and enhancing performance and scalability.

Responsibilities :

• Actively participate in chapter ceremony meetings and contribute to project planning and estimation. Coordinate work with product managers, data owners, platform teams, and other stakeholders throughout the SDLC cycle.
• Use Airflow, Python, Snowflake, dbt, and related technologies to enhance and maintain EDP acquisition, ingestion, processing, orchestration and DQ frameworks.
• Adopt new tools and technologies to enhance framework capabilities.
• Build and conduct end-to-end tests to ensure production operations run successfully after every release cycle.
• Document and present accomplishments and challenges to internal and external stakeholders. Demonstrate deep understanding of modern data engineering tools and best practices.
• Design and build solutions which are performant, consistent, and scalable.
• Contribute to design decisions for complex systems. Provide L2 / L3 support for technical and/or operational issues.

 Qualifications :

• At least 5+ years' experience as a data engineer
• Expertise with SQL, stored procedures, UDFs
• Advanced level Python programming or Advanced Core Java programming.
• Experience with Snowflake or similar cloud native databases
• Experience with orchestration tools, especially Airflow Experience with declarative transformation tools like dbt
• Experience in Azure services, especially ADLS (or equivalent)
• Exposure to real time streaming platforms and message brokers (e.g., Snowpipe Streaming, Kafka) Experience with Agile development concepts and related tools (ADO, Aha)
• Experience conducting root cause analysis and solve issues
• Experience with performance tuning
• Excellent written and verbal communication skills .Ability to operate in a matrixed organization and fast-paced environment
• Strong interpersonal skills with a can-do attitude under challenging circumstances
• Bachelor's degree in computer science is strongly preferred

Our benefits
To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents 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, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law.