Senior Data Engineer, 12-month Fixed-Term

There is a place for you at T. Rowe Price to grow, contribute, learn, and make a difference. ​ We are a premier asset manager focused on delivering global investment management excellence and retirement services that investors can rely on today and in the future. The work we do matters. We invite you to explore the opportunity to join us and grow your career with us.

Overview 

The Data Office team at T. Rowe Price is playing a key role in helping build the future of financial services, working together with business partners to create client experiences that are changing the way people invest.  You will work with smart, talented people across our business.  We will expect you to be agile and to think outside the box.  In return, we will give you challenging work that makes an impact and brings opportunities to learn and grow, and a collaborative culture that encourages every member of our team to bring their point of view to the table—because that is how we help our clients succeed. 

You will be an individual contributor on the Analytics and Data Platform engineering team responsible for architecting, building, testing and maintaining the data platform to ingest, curate and deliver core enterprise datasets for the whole organization. 

You will be responsible for: 

• Contributing to the platform’s architectural design 

• Development and testing of the integration, modelling, data persistence and querying tools and analytical systems 

• Implement, maintain and test new data and analytics pipelines into the firm’s core data lake infrastructure  

• Metadata management processes and tools 

• Monitoring and continuously improve the overall performance, timeliness and stability of the data pipelines 

• Implementing data curation, metadata management and data quality tooling 

• Engaging with our business and technology partners to ensure that the platform fully meets the firm’s needs 

Preferred Technical experience/skills 

• 7+ years of experience working as a Java/Python developer.  

• A solid foundation in data engineering, with 3+ years of professional experience working on data pipelines in a modern data ecosystem.  

• A good understanding of modern lakehouse architectures and corresponding technologies, such as Dremio, Snowflake, Iceberg, (Py)Spark / Glue / EMR, dbt and Airflow / Dagster.  

• Strong understanding of AWS ecosystems like Lambdas, step functions and ECS services. 

• Experience in architecting cloud components, integration layer and data storage. 

• Python engineering skills with exposure to pandas, Numpy. R could be a plus. 

• Hands on experience on RDBMS like PostgreSQL would be a plus.  

• Expertise in data analysis with exposure to data services (such as Glue, Lake Formation, EMR, EventBridge, Athena, etc.) & metadata management tools (such as Amundsen, Atlas, DataHub, OpenDataDiscovery, Marquez, etc.), 

• Experience building modern enterprise-wide data and analytics systems in a financial services organisation with an understanding of the asset management business and/or financial markets 

T. Rowe Price Technology operates a hybrid working model with a minimum of two days required in the London office.

Commitment to Diversity, Equity, and Inclusion:

We strive for equity, equality, and opportunity for all associates. When we embrace the power of diversity and create an environment where people can bring their authentic and best selves to work, our firm is stronger, and we create greater value for our clients. Our commitment and inclusive programming aim to lift the experience for each associate and builds allies for our global associate community. We know that a sense of belonging is key not only to your success at the firm, but also to your ability to bring your best each day.

T. Rowe Price is an equal opportunity employer and values diversity of thought, gender, and race. We believe our continued success depends upon the equal treatment of all associates and applicants for employment without discrimination on the basis of race, religion, creed, colour, national origin, sex, gender, age, mental or physical disability, marital status, sexual orientation, gender identity or expression, citizenship status, military or veteran status, pregnancy, or any other classification protected by country, federal, state, or local law.