Data Engineer, NatWest Rooster Money (12 months)

NatWest Group; Manchester; On-site; GBP 40,000 - 60,000; Full time

Job summary

A leading financial institution in Manchester is looking for a Data Engineer to develop innovative data-driven solutions and drive customer value. Applicants should have significant experience with AWS, Snowflake, and Git, as well as strong communication skills. This is a 12-month position with no Skilled Worker visa sponsorship available.

Qualifications

• Strong understanding of data usage and dependencies.
• Practical experience coding.
• Experience in a regulated environment.

Responsibilities

• Develop innovative data-driven solutions through pipelines.
• Drive customer value by understanding business problems.
• Build advanced automation of data engineering pipelines.

Skills

AWS

Snowflake

Git

Data Lakehouse

Data modelling

Modern code development practices

Strong communication skills

Job description

Join us as a Data Engineer

• You’ll be the voice of our customers, using data to tell their stories and put them at the heart of all decision-making
• We’ll look to you to drive the build of effortless, digital first customer experiences
• If you’re ready for a new challenge and want to make a far-reaching impact through your work, this could be the opportunity you’re looking for
• We’re offering this position for a period of 12 months
• This job does not meet Skilled Worker visa sponsorship requirements

What you'll do

As a Data Engineer, you’ll be looking to simplify our organisation by developing innovative data driven solutions through data pipelines, modelling and ETL design, inspiring to be commercially successful while keeping our customers, and the bank’s data, safe and secure.

You’ll drive customer value by understanding complex business problems and requirements to correctly apply the most appropriate and reusable tool to gather and build data solutions. You’ll support our strategic direction by engaging with the data engineering community to deliver opportunities, along with carrying out complex data engineering tasks to build a scalable data architecture.

Your responsibilities will also include:

• Building advanced automation of data engineering pipelines through removal of manual stages
• Embedding new data techniques into our business through role modelling, training, and experiment design oversight
• Delivering a clear understanding of data platform costs to meet your departments cost saving and income targets
• Sourcing new data using the most appropriate tooling for the situation
• Developing solutions for streaming data ingestion and transformations in line with our streaming strategy

The skills you'll need

To thrive in this role, you’ll need a strong understanding of data usage and dependencies and experience of extracting value and features from large scale data.You’ll also bring practical experience of programming languagesalongside knowledge of data and software engineering fundamentals.

Additionally, you’ll need:

• Significant experience with AWS, Snowflake and Git
• Experience of ETL technical design, data quality testing, cleansing and monitoring, data sourcing, and exploration and analysis
• Data Lakehouse and data modelling capabilities
• A good understanding of modern code development practices
• Experience of working in a governed, and regulatory environment
• Strong communication skills with the ability to proactively engage and manage a wide range of stakeholders