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Data Engineer

Job details
Posting date: 31 October 2020
Hours: Full time
Closing date: 30 November 2020
Location: Edinburgh, EH12 1HQ
Company: NatWest Group
Job type: Permanent
Job reference: R-00114122

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Summary

Join us as a Data Engineer

  • 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 Engineer, 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.

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
  • Extensive experience using RDMS, ETL pipelines, Python,, Scala and SQL
  • A good understanding of modern code development practices
  • Evidence of working in model development and deployment environment with appropriate practices, such as testing, version control and logging
  • Evidence of working in a cloud environment with some of the following technologies EMR, Spark, Hadoop, HIVE and similar big data technologies, Apache Airflow, Luigi and similar orchestration systems

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