Data Engineer

National Westminster Bank
Edinburgh, UK
13 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source

Tech stack

Big Data Data Architecture Information Engineering Data Infrastructure Extract Transform Load (ETL) Data Transformation Data Structures Data Systems Data Warehousing DevOps Dimensional Modeling Distributed Computing Environment
+10 more
Python (Programming Language) SQL Databases Data Streaming Test-Driven Development (TDD) Git Usage Tracking Data Management Software Version Control Data Pipelines Programming Languages

Job description

  • 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 by developing innovative data driven solutions, using insight to be commercially successful, 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 driving value for our customers by building data solutions. You’ll be carrying out data engineering tasks to build, maintain, test and optimise a scalable data architecture, as well as carrying out data extractions, transforming data to make it usable to data analysts and scientists, and loading data into data platforms.

You’ll also be:

  • Developing comprehensive knowledge of the bank’s data structures and metrics, advocating change where needed for product development
  • Practicing DevOps adoption in the delivery of data engineering, proactively performing root cause analysis and resolving issues
  • Collaborating 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
  • Sourcing new data using the most appropriate tooling and integrating it into the overall solution to deliver for our customers

Requirements

To be successful in this role, you’ll need a good understanding of data usage and dependencies with wider teams and the end customer, as well as experience of extracting value and features from large scale data.

You’ll also demonstrate:

  • Experience of ETL/ELT technical design, including building pipelines, data quality testing, cleansing and monitoring, data warehousing and data modelling capabilities
  • The ability to use programming languages like SQL and Python, alongside knowledge of data and software engineering fundamentals such as dimensional modelling, data structures, streaming and distributed processing concepts
  • Good knowledge of modern code development practices including version control with Git, CI/CD pipelines, infrastructure as code, spec/test-driven development, and agile delivery
  • Strong communication skills with the ability to proactively engage with a wide range of stakeholder

Benefits & conditions

Pulled from the full job description

  • Annual leave
  • Company pension
  • Transport links
  • On-site parking, Here’s a quick look at what your pay package and annual leave could look like if you get accepted for the role. We have a wide range of benefits to support you in your working life and beyond.

Tap each segment for details.

Your pay package

100% Base pay This is your base pay package that you take home every month.

+10% Pension funding This is monthly funding paid towards your pension.

Your leave allowance

28 days Annual leave You’ll also have the opportunity to purchase up to 5 additional days off.

3 days Volunteering Take time off to support the causes you’re passionate about.

3 days Training Take time to build the skills you need to grow your career.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on uk.indeed.com

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