13 days ago
London, United KingdomStaff+
Responsibilities
- Architect, build, deploy, operate, and support scalable production-grade data platforms and pipelines.
- Lead architectural decisions and technical prioritization while balancing performance, cost efficiency, reliability, maintainability, and business objectives.
- Develop reusable data engineering frameworks, shared datasets, and extensible pipelines for multiple projects and use cases.
- Implement data quality, governance, lineage, testing, monitoring, observability, and operational controls.
- Collaborate with engineers, product managers, analysts, and business stakeholders to translate needs into technical solutions.
- Provide hands-on technical leadership, mentor engineers, and drive adoption of engineering standards and best practices.
Requirements
- Hands-on experience designing, building, and operating scalable production-grade data platforms and pipelines, including independent ownership from architecture through production support.
- Advanced SQL and analytical data modeling skills, including experience with data quality, governance, lineage, testing, monitoring, and operational controls.
- Strong Python and software engineering skills, including reusable components, version control, continuous integration and delivery, automated testing, code review, and production-quality code.
- Experience with modern data transformation frameworks such as dbt, including modular models, automated testing, and documentation.
- Experience developing and operating production data and batch-processing workflows with directed acyclic graph-based orchestration, dependency management, monitoring, failure handling, and operational resilience.
- Experience building cloud-based data solutions using AWS or Microsoft Azure and modern data warehouses such as Snowflake.
- Strong communication, collaboration, technical decision-making, knowledge-sharing, and mentoring skills.
- Experience with financial or private markets data, regulated environments, or data solutions supporting AI/ML is beneficial.
Benefits
- Retirement investment benefits and financial planning tools.
- Education reimbursement.
- Resources supporting physical health and emotional well-being.
- Family support programs.
- Flexible Time Off (FTO).
- Hybrid work model requiring at least four days in the office per week, with flexibility to work from home one day per week; some groups may require more office time.
About BlackRock
BlackRock is a public, New York–based global asset manager and technology provider founded in 1988. It offers investment products—including the iShares ETF franchise—and portfolio and risk management software via the Aladdin platform to institutions, financial advisors, and individual investors, earning primarily management and technology fees. Its shares trade on the NYSE, and the firm serves clients in major markets worldwide.