Data Engineer: Hybrid Role, Build Scalable Data Pipelines

Nationwide; Northampton, Camden Town; Hybrid; GBP 52,000 - 90,000; Full time

Benefits offered by this job

25 days leave

Private medical insurance

Pension plan

Performance bonus

Training and development

Salary sacrifice scheme

Life assurance

Wellbeing resources

Volunteer days

Job summary

Nationwide is seeking a Data Engineer to design and maintain data pipelines and data products. You will work with Databricks, Azure and Python to deliver reliable data solutions, while learning modern engineering practices and growing your technical expertise.

You’ll contribute to testing, quality checks and documentation, and collaborate with engineers, analysts and product teams to understand business needs and create value across the organization.

Qualifications

• Interest in data and software engineering.
• Knowledge or experience with SQL, Python.
• Exposure to cloud or modern data platforms.
• Understanding of software engineering and data concepts.
• Strong problem-solving and analytical skills.
• Good communication and collaboration skills.
• Growth mindset with willingness to learn.

Responsibilities

• Develop and support data pipelines, transformations and data products.
• Write clean, maintainable code using SQL and Python.
• Ensure data accuracy through testing and quality checks.
• Investigate issues and resolve data and pipeline incidents.
• Collaborate with engineers, analysts, product teams and stakeholders.
• Follow data security, governance and access standards.

Skills

SQL

Python

Data engineering basics

Cloud platforms

Problem solving

Communication

Tools

Databricks

dbt

Azure

GitHub

Job description

Nationwide is seeking a Data Engineer to design and maintain data pipelines and data products. You will work with Databricks, Azure and Python to deliver reliable data solutions, while learning modern engineering practices and growing your technical expertise.

You’ll contribute to testing, quality checks and documentation, and collaborate with engineers, analysts and product teams to understand business needs and create value across the organization.