You will look at current data tools/technologies used and aim to increase the capability of data across the business by bringing in newer more innovative tools/technologies.

You’ll bring your in-depth knowledge of big data technologies best practice and a desire to work in a DevOps environment where you will have end-to-end ownership for developing, deploying and supporting your data assets.

Working within the Investment Banking arm of the business' Data Platform team
The existing tech stack includes Java, Python, Hadoop, Spark, Hive, Presto and AWS - however, there are no limitations to tech as the goal is to serve as a data/innovation evangelist across the business.

To be successful in this role you will have some of the following skills and experience:

AWS or equivalent other cloud environments - any or all of EC2, S3, RDS, Dynamo DB, EMR, Redshift, Glue, Athena, Apache Parquet
Distributed computer frameworks on Hadoop, Spark, distributed SQL, and/or noSQL query engines
Experience in Python or Java
machine learning and self-serve analytics principles.