Associate, Data Engineer

About this role

As an Associate on the Analytics & Risk / Aladdin Data Cloud (ADC) team you will be part of a group responsible for building evolving and operating BlackRocks nextgeneration data platforms. These platforms enable enterprisescale data ingestion transformation orchestration and analytics to support critical investment analytics and risk workflows.

This is a handson AI based data engineering role for a strong candiate with experience across Snowflake SQL Python dbt Airflow AI and cloudnative services. The role focuses on building reliable secure and scalable data pipelines and transformation frameworks while adopting modern engineering practices such as CI/CD cloud automation and AIassisted development.

You will work on Snowflakebased data platforms integrated with Azure services contributing to ingestion pipelines curated data models performance optimisation and operational resilience. The role sits at the intersection of data platform engineering analytics engineering and cloud infrastructure.

A key focus of this role is applying strong engineering fundamentals to deliver highquality productiongrade data solutions while continuously improving developer productivity through automation standardisation and AIenabled tooling.

You will partner closely with senior engineers platform leads and crossfunctional stakeholders to deliver scalable maintainable solutions that advance BlackRocks enterprise data capabilities.

Responsibilities

• Design build and maintain endtoend data pipelines on Snowflake leveraging capabilities such as Snowpipe Streams Tasks Dynamic Tables and Virtual Warehouses.
• Develop and maintain analyticsready data models using dbt Core including implementing dbt tests to ensure data quality reliability and trustworthiness.
• Write and optimise complex SQL for largescale analytical workloads including joins transformations and performancecritical queries.
• Apply Snowflake performance tuning and cost optimisation techniques including warehouse sizing query optimisation and effective use of metadata and monitoring.
• Develop and maintain Pythonbased components and utilities using libraries such as pandas for data manipulation and automation.
• Build and integrate eventdriven and cloudnative solutions using Azure Blob Storage Event Grid Storage Queues and Azure Functions.
• Contribute to CI/CD pipelines and Gitbased workflows following modern DevOps and GitOps practices for data and platform assets.
• Participate across the full development lifecycle including requirements analysis design development testing deployment and ongoing enhancement.
• Partner with senior engineers and crossfunctional teams to translate data and analytics requirements into robust technical solutions.
• Improve reliability scalability observability and operational resilience of data pipelines and platform components.
• Adopt and apply AIassisted engineering practices including AIenabled coding SQL generation testing and documentation where they improve quality or developer productivity.
• Contribute to engineering standards best practices documentation and shared platform capabilities.

Required Qualifications

• Bachelors degree in Computer Science Engineering or a related technical field.
• 35 years of experience in data engineering analytics engineering or platform engineering roles.
• Strong handson experience with Snowflake including architecture data ingestion transformation and operational best practices.
• Strong SQL skills including complex joins data manipulation and performance optimisation.
• Strong knowledge about AI based development using latest models available. Ability to translate product requirements into actionable secure deployable code using standard devops principles adhering to security and governance guardrails.
• Experience developing data models and tests using dbt Core.
• Solid programming experience in Python with familiarity using pandas numpy datafames or similar libraries.
• Experience working with CI/CD pipelines Gitbased workflows and modern DevOps practices.
• Practical experience with Azure cloud services preferably Blob Storage Event Grid Storage Queues and Azure Functions.
• Understanding of security data governance and productiongrade engineering practices in enterprise environments.
• Strong communication and collaboration skills with the ability to work effectively with engineers and nonengineering partners.
• Ability to operate effectively in a fastpaced environment and take ownership of assigned deliverables.

Preferred Qualifications

• Experience with Snowflake cost optimisation workload management and metadatadriven monitoring.
• Exposure to data observability data quality frameworks or operational monitoring.
• Experience working on enterprisescale data platforms or analytics systems.
• Familiarity with eventdriven or messagebased architectures.
• Exposure to AIassisted development tools LLMbased coding assistants or automation frameworks.
• Experience working in regulated or largescale financial services environments.

What success looks like

• You deliver reliable welldesigned data pipelines and models that support highquality analytics and risk use cases.
• You contribute to the scalability performance and operational excellence of the Snowflakebased data platform.
• You write clean maintainable and productionready code and steadily take ownership of increasingly complex components.
• You improve developer experience and platform efficiency through automation standardisation and AIassisted engineering practices.
• You build strong domain knowledge of BlackRocks enterprise data platforms and become a trusted handson contributor within the team.

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

BlackRocks 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 childrens 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. Its why were 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: 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.