Data Engineer- Associate

About this role About the Team: Data and insights are critical to driving decisions, supporting innovation, and maintaining compliance with regulations across our product platform. To propel our product and commercial agenda in a more data-centric way, we have established a Chief Data Office and a supporting team that will oversee data strategy and management. This team will partner with various stakeholders to deliver the following: Data Strategy and Management:  Standardize and scale the management of product-related data to generate essential insights, support strategic decision-making, and foster innovation. Technology Integration:  Research and integrate emerging data technologies and methodologies to improve data capabilities and drive efficiency. Stakeholder Engagement and Data Due Diligence:  Collaborate with leadership and stakeholders to prioritize data initiatives, help govern the evaluation and integration of new datasets and ensure data quality and compliance with regulations. About the Role: We are looking for a talented Data Engineer to join the Chief Data Office. This is a unique opportunity to be the first data engineer on the team, responsible for establishing the infrastructure and best practices for onboarding and maintaining data, as well as delivering insights to our stakeholders. You will partner with adjacent data engineering teams to utilize and expand existing infrastructure. As a lead, you will also play a crucial role in driving the overall data engineering strategy. Key Responsibilities: Design, develop, and maintain scalable data pipelines and systems to support data integration and analytics. Establish best practices for data management, including data quality, data governance, and data security. Collaborate with stakeholders to understand data requirements and deliver actionable insights. Partner with adjacent data engineering teams to leverage and enhance existing data infrastructure. Implement and optimize data storage solutions to ensure efficient data retrieval and processing. Develop and maintain documentation for data engineering processes and systems. Lead and mentor junior data engineers and analysts , fostering a culture of continuous learning and improvement. Qualifications: Proven experience as a Data Engineer or in a similar role. Strong knowledge of data engineering concepts, including ETL processes, data warehousing, and data modelling. Proficiency in programming languages such as Python, SQL, PostgreSQL, and Java. Experience with big data technologies such as Hadoop, Spark, and Snowflake . Familiarity with cloud platforms such as AWS, Azure, or Google Cloud. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Experience with batch processing and API integration. Experience or eagerness to learn how to maintain and serve data for generative AI applications. Familiarity with RAG (Retrieval-Augmented Generation) and vector databases. Preferred Skills: Experience with data visualization tools such as Tableau or Power BI. Knowledge of machine learning and data science concepts. Familiarity with data governance frameworks and best practices. 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 flex ... (truncated, view full listing at source)