Job Description: We’ll look to you to drive value for the customer through modelling, sourcing and data transformation. You’ll be working closely with core technology and architecture teams to deliver strategic data solutions, while driving Agile and DevOps adoption in the delivery of data engineering. Job Responsibilities: Developing comprehensive knowledge of the bank’s data structures and metrics, advocating change where needed for product development Working with Data Scientists and Analytics Labs to translate analytical model code to well tested production ready code Educating and embedding new data techniques into the business through role modelling, training and experiment design oversight Delivering data engineering strategies to build a scalable data architecture and customer feature rich dataset for data scientists Helping to define common coding standards and model monitoring performance best practices Delivering the automation of data engineering pipelines through the removal of manual stages Job Requirements: Knowledge of messaging, event or streaming technology such as Apache Kafka, and of big data platforms such as Snowflake, AWS Redshift, Postgres, MongoDB, Neo4J and Hadoop Good knowledge of cloud technologies such as Amazon Web Services, Google Cloud Platform and Microsoft Azure Good working knowledge of CICD tools Knowledge of core computer science concepts such as common data structures and algorithms, profiling or optimisation Experience of ETL technical design, automated data quality testing, QA and documentation, data warehousing, data modelling and data wrangling Extensive experience using RDMS and ETL pipelines An understanding of machine-learning, information retrieval or recommendation systems Job Details: Company: NatWest Vacancy Type: Full Time Job Location: London, England, UK Application Deadline: N/A Apply Here careers-trivia.com
Careers Trivia – Latest Jobs 2025