Lead Data Engineer, Portfolio Management Group, Associate

About Global Fixed Income Team 

BlackRock’s active fixed income portfolio strategies stretch across a range of investment styles and segments of the fixed income universe. The breadth and depth of our platform puts us 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-up expertise from 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: 

• Bachelor's or Master's degree in Computer Science/Engineering or related field. 

• 5+ years of relevant experience. 

• Good understanding of the foundations of data engineering

• Strong 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