Lead Data Engineer, Portfolio Management Group, Associate

About this role

AboutGlobalFixed Income Team

BlackRocksactive fixed incomeportfolio strategies stretch across a range of investment styles and segments of the fixed income breadth and depth of our platformputsus in a strong position to potentially deliver attractive returns in various market environments. With a focus on alpha generation and risk management the team uses a top-down view from lead portfolio managers and bottom-upexpertisefrom our sector specialists.

Key Responsibilities

• Lead the design development and optimisation of scalable data pipelines and data platforms for structured and unstructured data

• Own end-to-end data engineering solutions including ingestion transformation orchestration storage and serving layers for analytics and AI use cases

• Architect robust data models pipeline frameworks and reusable components that improve reliability scalability and maintainability

• Drive best practices for data engineering including coding standards testing observability performance tuning and release processes

• Mentor junior engineers and provide technical leadership across design reviews debugging and delivery of complex data initiatives

• Collaborate with AI engineers application developers product managers and business stakeholders to translate requirements into production-grade data solutions

• Design and implement data quality controls validation frameworks and monitoring mechanisms to ensure trusted downstream consumption

• Optimise data platforms and workloads for cost scalability resilience and performance across cloud-based environments

• Partner with cross-functional teams to shape data architecture decisions and support delivery of enterprise-scale data products

Education and Qualifications/Skills:

• Bachelors orMasters degree in Computer Science/Engineeringor related field.

• 5 years of relevant experience.

• Good understanding of the foundations of data engineering

• S trong expertise in Python and SQL with hands-on experience building enterprise-grade data engineering solutions

• Deep experience with cloud data platforms such as Snowflake and modern data pipeline or orchestration frameworks

• Strong understanding of data modelling ETL/ELT design pipeline optimisation and large-scale data processing patterns

• Experience designing reliable data quality monitoring lineage and observability practices for production environments

• Experience with APIs distributed systems concepts and integration of data platforms with analytics or AI applications

• Strong knowledge of Git code reviews CI/CD practices and software engineering standards for maintainable delivery

• Leadership & Problem-Solving

• Strong architectural thinking problem-solving ability and the capability to lead technical decisions mentor team members and drive delivery across complex data initiatives

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

BlackRocks 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 weve 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 childrens 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. Its why were 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 . 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.

Required Experience:

IC