Engineering Manager, Director

Über das Unternehmen

Hophr

Deine Voraussetzungen

• As a leading global financial information services provider, our client delivers vital credit and risk insights, robust data, and dynamic tools to champion more efficient, transparent financial markets. With over 100 years of experience and colleagüs in over 30 countries, our client’s culture of credibility, independence, and transparency is embedded throughout its structure, which includes our client Ratings, one of the world’s top three credit ratings agencies, and our client Solutions, a leading provider of insights, data, and analytics. With dual headquarters in London and New York, our client is owned by Hearst. Our client's Technology & Data Team is a dynamic department where innovation meets impact. Our team includes the Chief Data Office, Chief Software Office, Chief Technology Office, Emerging Technology, Shared Technology Services, Technology, Risk, and the Executive Program Management Office (EPMO). Driven by our investment in cutting-edge technologies like AI and cloud solutions, we’re home to a diverse range of roles and backgrounds united by a shared passion for leveraging modern technology to drive projects that matter to our organization and clients. We are also proud to be recognized by Built In as a “Best Place to Work in Technology” 3 years in a row. Whether you're an experienced professional or just starting your career, we offer an exciting and supportive environment where you can grow, innovate, and make a difference. As a leading global financial information services provider, our client delivers vital credit and risk insights, robust data, and dynamic tools to champion more efficient, transparent financial markets. With over 100 years of experience and colleagüs in over 30 countries, our client’s culture of credibility, independence, and transparency is embedded throughout its structure, which includes our client Ratings, one of the world’s top three credit ratings agencies, and our client Solutions, a leading provider of insights, data, and analytics. With dual headquarters in London and New York, our client is owned by Hearst. Our client's Technology & Data Team is a dynamic department where innovation meets impact. Our team includes the Chief Data Office, Chief Software Office, Chief Technology Office, Emerging Technology, Shared Technology Services, Technology, Risk, and the Executive Program Management Office (EPMO). Driven by our investment in cutting-edge technologies like AI and cloud solutions, we’re home to a diverse range of roles and backgrounds united by a shared passion for leveraging modern technology to drive projects that matter to our organization and clients. We are also proud to be recognized by Built In as a “Best Place to Work in Technology” 3 years in a row. Whether you're an experienced professional or just starting your career, we offer an exciting and supportive environment where you can grow, innovate, and make a difference. How You’ll Make an Impact: Hands-On Lead and mentor a high-performing data engineering team, fostering technical excellence and professional growth while ensuring delivery of scalable, modern data solutions aligned with busineß priorities. Partner with the CDO team and data product leaders to define and execute the vision for an AWS-based data platform that enables enterprise-wide self-service, unlocking data for AI, analytics, and innovation. Drive architectural decisions and establish best practices for data ingestion, transformation, and distribution frameworks that accelerate time-to-insight for data producers and consumers. Champion adoption of emerging technologies such as Agentic AI and Generative AI, integrating advanced capabilities into data workflows to enhance user experience and position the organization as “AI-Ready.” Ensure operational excellence and reliability by proactively addressing complex data engineering challenges, implementing robust quality controls, and preventing production incidents. You May be a Good Fit if: 7-10 years’ experience, hands-on, leading highly technical data-centric software engineers, preferably in financial services, in support of Data Lake houses (e.g. AWS, Databricks, Snowflake), data virtualization solutions (e.g. Starburst), modern data catalogs & data quality capabilities (e.g. Collibra), and Master Data Management (e.g. Informatica). Proven AWS expertise (S3, EKS, Lambda, Glü, EMR, Redshift, S3, RDS/Aurora, Valkey/Redis, Step Functions, MSK/Kafka, Event Bridge). AWS Certification strongly pre