Data Engineer

NatWest Group; City of Edinburgh; Hybrid; GBP 50,000 - 70,000; Full time

Job summary

A leading financial institution in Scotland is looking for a Data Engineer to simplify their organization by developing innovative data-driven solutions. The role requires experience in data pipeline development and a strong understanding of data usage. The successful candidate will engage with stakeholders to build scalable data architectures and deliver clear cost understanding of data platforms. This position offers a hybrid work model and a closing date of 06/11/2025.

Qualifications

• Strong understanding of data usage and dependencies.
• Experience in extracting value from large-scale data.
• Excellent communication skills with stakeholder management.

Responsibilities

• Build advanced automation of data engineering pipelines.
• Embed new data techniques through role modelling and training.
• Deliver clear understanding of data platform costs.
• Source new data using appropriate tooling.
• Develop solutions for streaming data ingestion.

Skills

Data pipeline development

Data warehousing

Software engineering fundamentals

Stakeholder engagement

Programming languages

Tools

Snowflake

Kafka

Apache Airflow

S3

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

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 department’s 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 languages alongside knowledge of data and software engineering fundamentals.

You’ll have excellent communication skills with the ability to proactively engage and manage a wide range of stakeholders.

Additionally, you’ll need:

• Experience of building and maintaining data pipelines, including batch and streaming architectures, using modern frameworks and tools
• Experience in data warehousing and data modelling capabilities
• A strong understanding of modern code development practices
• The ability to rapidly and effectively understand and translate product and business requirements into scalable and secure data solutions
• Demonstrable experience in using tooling such as Snowflake, Kafka, Apache Airflow and S3

Hours: 35

Job Posting Closing Date: 06/11/2025

Ways of Working: Hybrid