Data Modeller

#R-00147390
Location
Delhi, India
Contract
Permanent - Full Time
Brand
NatWest Group
Job category
Insights & Analytics - Business Strategy & Delivery
Posted
25/11/2021
Closing date for applications: 30/12/2021

Our people work differently depending on their jobs and needs. From home working to job sharing, visit the remote and flexible working page on our website to find out more.

This role is based in India and as such all normal working days must be carried out in India.

Join us as a Data Modeller

  • This is an exciting opportunity to use your technical expertise to collaborate with colleagues and build effortless, digital first customer experiences
  • You’ll be simplifying the bank through developing innovative data driven solutions, inspiring to be commercially successful through insight, and keeping our customers’ and the bank’s data safe and secure
  • Participating actively in the data engineering community, you’ll deliver opportunities to support the bank’s strategic direction while building your network across the bank

What you'll do

As a Data Modeller, you’ll play a key role in delivering value for our customers by building data solutions. You’ll be carrying out data engineering tasks to build a scalable data architecture including carrying out data extractions, transforming data to make it usable to analysts and data scientists, and loading data into data platforms.

We’ll also expect you to be:

  • Developing comprehensive knowledge of the bank’s data structures and metrics, advocating change where needed for product development
  • Building automated data engineering pipelines through the removal of manual stages
  • Working closely with core technology and architecture teams in the bank to build data knowledge and data solutions
  • Developing a clear understanding of data platform cost levers to build cost effective and strategic solutions

The skills you'll need

To be successful in this role, you’ll need to be an entry level programmer and Data Engineer with a qualification in Computer Science or Software Engineering. You’ll also need a good understanding of data usage and dependencies with wider teams and the end customer, as well as a proven track record in extracting value and features from large scale data.

Along with a strong understanding of relational data modelling and dimensional modelling covering conceptual, logical and physical using a modelling tool like Erwin, or Sparx Enterprise Architect, you'll ideally have an understanding of RDBMS, Hadoop, and Snowflake. Experience in Data Vault, FSLDM and Cloud Services would be beneficial.

You’ll also demonstrate:

  • Good critical thinking and proven problem solving capabilities
  • Experience of ETL technical design, automated data quality testing, QA and documentation, data warehousing, data modelling and data wrangling
  • Experience in SQL, data mapping, data analysis, data lineage and source to target mapping documentations
  • Extensive experience using RDMS, ETL pipelines, Python, Hadoop and SQL
  • A good understanding of modern code development practices