About this role
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
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.
Skills Required
- Bachelor's or Master's degree in Computer Science, Engineering, or related field
- 5+ years of relevant experience
- Good understanding of foundations of data engineering
- Strong expertise in Python
- Strong expertise in SQL
- Experience building enterprise-grade data engineering solutions
- Deep experience with cloud data platforms such as Snowflake
- Experience with modern data pipeline or orchestration frameworks
- Strong understanding of data modelling, ETL/ELT design, pipeline optimization, and large-scale data processing patterns
- Experience designing data quality, monitoring, lineage, and observability practices for production environments
- Experience with APIs and distributed systems concepts and integration with analytics or AI applications
- Strong knowledge of Git, code reviews, CI/CD practices, and software engineering standards
- Leadership, mentoring, and ability to lead technical decisions and delivery
BlackRock Compensation & Benefits Highlights
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Retirement Support — The U.S. plan combines a 50% match on the first 8% of eligible pay you contribute with an additional 3–5% company retirement contribution, alongside an Employee Stock Purchase Plan. This structure is positioned as stronger than many large employers and stands out for long‑term savings in finance.
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Parental & Family Support — Paid parental leave includes at least 16 weeks at 100% for primary caregivers (and 4 weeks for non‑primary), with bereavement and miscarriage/stillbirth leave plus a flexible return‑to‑work transition. Family‑forming and caregiving resources include adoption support, fertility benefits, and back‑up child and elder care in some locations.
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Healthcare Strength — Offerings include comprehensive medical, dental, and vision plans, telemedicine, wellness incentives, gym discounts, EAP counseling, and free access to Calm. Some offices also provide onsite health services.
BlackRock Insights
What We Do
As the world’s largest asset manager, BlackRock partners with investors around the globe to help them (and those on whose behalf they invest) plan for life’s most important goals – like retirement, home ownership and their children’s education. Our clients range from governments, foundations and other large institutions to those investing on behalf of individuals, including firefighters, nurses, teachers and factory workers. BlackRock was founded with the idea of creating a better asset management firm — one that was purpose-driven, focused on clients and risk management, and propelled by data and technology. Our breakthrough Aladdin® platform is BlackRock’s technological backbone, helping investors see and manage their whole portfolios in one place – from constructing investments to monitoring risk and executing trades. Used by hundreds of external institutions around the world, Aladdin combines powerful analytics and a common language to help investment teams make faster, more informed decisions across public and private markets. It’s a key part of our business and one of the reasons we’re trusted to manage more assets than any other investment manager today. At BlackRock, we challenge conventions and raise the bar for what’s possible. We harness technology to unlock new solutions, simplify complexity, and deliver investment strategies that meet people where they are. Whether it’s retirement planning, wealth building or navigating market shifts, we’re here to help clients invest more easily, more affordably and with more choice as we chart a path toward financial well-being together. Learn more: Careers.BlackRock.com
Why Work With Us
Without our people, technology is irrelevant. When we combine the power of people with the power of technology, we amplify our ability to create better outcomes for our employees, clients, shareholders and society alike.
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BlackRock Teams
BlackRock Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
BlackRock has 25,000 employees across more than 100 offices in over 40 countries around the world.
