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NatWest Services

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29 NatWest Services Jobs

Data Engineer

National Westminster Bank (NatWest)

4-8 years

Gurgaon / Gurugram, Bangalore / Bengaluru

1 vacancy

Data Engineer

NatWest Services

posted 15hr ago

Job Role Insights

Key skills for the job

Computer Science Python SQL Data Architecture QlikView Data Structures and Algorithms

+ 4 more

Job Description

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
Were offering this role at associate level

What youll 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 youll 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.

Youll have experience using Python, PySpark, Scala, Hadoop, and Spark, ideally with Neo4J or another Graph database, Hive, Sqoop, Map Reduce, Flume, Kafka, and Oozie. Tableau, QlikView, and AWS would also be beneficial.

As well as this, youll 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, Hadoop and SQL
A good understanding of modern code development practices

Employment Type: Full Time, Permanent

Read full job description