**About this role** Aladdin® is a tech platform that unifies the investment management process through a common data language within an organization that enables scale, provides insights, and supports business transformation. The Aladdin platform serves as the backbone of financial services organization investment process across public and private assets—with an open architecture that offers clients, and ecosystem partners the ability to “plug in” – for flexibility, optionality, and interoperability – where the platform works seamlessly alongside other elements of your investment process and tech stack. By supporting these functions, the Aladdin platform, eliminates redundant data input, enhances data integrity, significantly reduces operational risk. While simultaneously offering flexibility through an open architecture, deep integrations, and ecosystem partnerships. **About Preqin** This role sits within Preqin, a part of BlackRock. Preqin plays a key role in how we are revolutionizing private markets data and technology for clients globally, complementing our existing Aladdin technology platform to deliver investment solutions for the whole portfolio. **About Orion** Join the multi-disciplinary Orion team, where innovation meets real business impact. We're revolutionizing data management by harnessing the power of automation, machine learning, and AI to transform how we collect and process data. As part of the Orion team, you'll be at the forefront of innovation, developing and maintaining our cutting-edge workflow orchestration platform. This role offers the opportunity to work with advanced technologies to streamline large-scale data handling from diverse sources, ensuring that data is always accessible, accurate, and relevant to our clients' needs. **About the role** As a Data Engineer, you will be part of a high-performing engineering pod. Your work ensures our data flows are robust, scalable, and aligned with business needs, forming the backbone of Orion’s data-driven products and insights. This role requires an individual with excellent technical skills to evolve our back-end infrastructure. Our Data Engineers have an opportunity to significantly accelerate these changes and help shape our organization for the future. You will utilize your expertise to ingest, model, and maintain data that enhances our internal data processing capabilities. As such, we seek an individual who demonstrates efficient and productive ways of processing data as this project increases in scale. We seek an individual who will be instrumental in bridging the gap between technical and non-technical team members, ensuring clear and effective communication of technical concepts and data-driven strategies. **Your responsibilities will include:** + Design and implement robust data models (dimensional, Data Vault, etc.) that support business intelligence and analytics requirements. + Build scalable, reliable ETL/ELT pipelines using Python that process data from multiple sources. + Create and maintain analytics-ready datasets with efficient query performance for reporting and business insights. + Develop database schemas and optimize database performance for both transactional and analytical workloads. + Establish and enforce data governance practices, including data quality standards and metadata management. + Prioritise work based on data-driven insights and outcome-based goals in collaboration with stakeholders. + Work closely with engineering teams across the business, ensuring the best technical solutions are adopted, and elevate development standards through knowledge sharing and best practices. + Collaborate across engineering, product, and data scientist teams to translate business requirements into technical solutions and ensuring our data assets are organized and accessible. + Actively participate in technical discussions about new product directions, data modelling, and architectural decisions, ensuring our technology platform remains extensible. + Accelerate data collection as scale from millions of sources and across various databases. + Improve and maintain observability and alerting across our data systems, ensuring visibility into pipeline health and data quality. + Propose smart, pragmatic, and diverse approaches to address a variety of business problems. + Explore new technologies, approaches, and ideas that help to drive our business goals in unexpected ways. **About you** The successful candidate will be a highly motivated professional interested in shaping the future of financial technology with a proven track record of building software solutions at scale. They will enjoy working in a fast-paced environment where they are trusted to work with a high degree of autonomy and responsibility. **What we are looking for:** + At least 1 year of experience in data engineering with strong database expertise. + Experience building ETL/ELT pipelines using Python and implementing efficient data processing workflows. + Strong SQL skills with ability to write complex queries for reporting and analytics needs. + Experience with data modelling methodologies (dimensional/Kimball, Data Vault) and database schema design. + Proficiency working with both transactional and analytical database systems (Postgres, Snowflake, etc.). + Experience of working within cloud provider services – Azure or AWS (preferred) and utilisation of infrastructure as code + A data-driven mindset to make development decisions based on robust analyses. + Ability to collaborate effectively with designers, engineering and data scientist teams to build our technical solutions. + You have driven technical solution design, taking the balance of engineering quality, testing, scalability and security into consideration. + A “let’s do it” and “challenge accepted” attitude when faced with less known or challenging tasks, with a willingness to learn new technologies and ways of working. + Excellent verbal and written communication and interpersonal skills, with the ability to influence at all organizational levels and bridge technical perspectives. + Proficiency in English required; additional languages and prior work experience at a global firm are desirable. + Experience processing structured and unstructured data. + Ability to perform well in a fast-paced environment, developing iterative sustainable solutions with best practices (security, code quality, documentation) and long-term vision. **Nice to Have:** + Experience with AI-related projects/products + Experience with database migration and integration project + Knowledge of Terraform, CI/CD pipelines, and Kubernetes **Our benefits** To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; 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. **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. For additional information on BlackRock, please visit @blackrock (http://careers.blackrock.com/) | Twitter: @blackrock (https://twitter.com/blackrock) | LinkedIn: www.linkedin.com/company/blackrock BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, race, religion, sex, sexual orientation and other protected characteristics at law.