Senior Data Engineer (Fixed term for 12 months)

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.

Summary 

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. 

We are seeking a highly skilled and experienced Data Engineer to join our team and play a critical role in building and maintaining our data infrastructure. As a Data Engineer, you will work with smart, talented people across our business and technology teams to ensure that our data is accurate, reliable, and accessible. 

Our team is responsible for developing and maintaining data pipelines that will create the core data products in our organization. We ingest data from a variety of internal and external sources; this data is mapped onto our data model to form our foundational data products. You will collaborate with the data governance team to create automatic data quality checks, data reconciliation and monitoring tools. The team is also responsible for creating tailored data products to enable critical business decisions. 

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 gain experience and grow. We help our clients succeed by providing a collaborative culture that encourages every member of our team to bring their point of view to the table. 

Responsibilities 

• Extract, transform, and load data from various sources into our data lakehouse. 

• Develop, test, maintain, and document data pipelines using DBT, Spark, AWS Glue and Airflow. 

• Build data marts and data cubes to support various business intelligence initiatives. 

• Automate data quality checks to ensure the accuracy and consistency of our data. 

Preferred experience/skills 

• A solid foundation in data engineering, with at least 3+ years of professional experience. 

• Strong proficiency in Python and SQL. 

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

• Experience with AWS services. Familiarity with S3, ECS and EC2/Fargate would be considered particularly beneficial. 

• Experience collaborating directly with stakeholders, eliciting business requirements, questioning and challenging where necessary. 

• Able to quickly learn new technologies and stay abreast of industry trends. 

• An understanding of the asset management business and/or financial markets. 

• Excellent communication and collaboration skills.  

Bonus Points 

• Experience with data visualization tools such as Tableau or Power BI. 

T. Rowe Price Technology has a hybrid working model with at least 2 days per week expected 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.