About this role
At BlackRock, technology has always been at the core of what we do – and today, our technologists continue to shape the future of the industry with their innovative work. We are not only curious but also collaborative and eager to embrace experimentation as a means to solve complex challenges. Here you’ll find an environment that promotes working across teams, businesses, regions and specialties – and a firm committed to supporting your growth as a technologist through curated learning opportunities, tech-specific career paths, and access to experts and leaders around the world.
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.
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 roleAs an Associate 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.
At least 4 years 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
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.
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 | Twitter: @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, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law.
