Data Engineer

Ronald James Group; Newcastle upon Tyne; Hybrid; GBP 72,000 - 88,000; Full time

Job summary

Ronald James Group in Newcastle upon Tyne is seeking a Senior Data Engineer to take ownership of an established data platform. You will ensure data is reliably ingested, transformed and accessible for reporting, analytics and business decisions.

You'll work with Software Engineering, Infrastructure, Product, Data Analysts and stakeholders, enjoying autonomy to improve and evolve the platform.

Qualifications

• Strong SQL and Python skills required.
• Experience building and maintaining production data pipelines.
• Good understanding of data modelling and cloud data warehouses.
• Experience with modern ETL/ELT and data transformation tools.
• Strong understanding of Git, testing and deployment practices.
• Experience troubleshooting data quality and pipeline issues.
• Comfortable working with technical and non-technical stakeholders.

Responsibilities

• Own and evolve the data platform, including pipelines and warehouse architecture.
• Design, build and maintain reliable ETL/ELT pipelines and data models.
• Improve data quality, monitoring, testing, performance and reliability.
• Build trusted datasets for reporting and analytics.
• Collaborate with Data Analysts and Engineering teams.
• Identify technical debt and opportunities to improve the platform.
• Provide technical guidance and support across the data function.
• Document key data flows, models and technical decisions.

Skills

SQL

Python

ETL/ELT pipelines

Data modelling

Cloud data warehouses

Git

Testing & deployment

Data quality

Stakeholder collaboration

Tools

Snowflake

dbt

Fivetran

Airbyte

Terraform

Job description

Senior Data Engineer

Hybrid role in Newcastle upon Tyne

Salary up to 80k.

We’re looking for a Senior Data Engineer to take technical ownership of an established data platform, ensuring data is reliably ingested, transformed and made available for reporting, analytics and business decision‑making.

You’ll work closely with Software Engineering, Infrastructure, Product, Data Analysts and wider business stakeholders, with plenty of autonomy to improve and evolve the platform.

What You’ll Be Doing

• Own and evolve the data platform, including pipelines, transformations and warehouse architecture.
• Design, build and maintain reliable ETL/ELT pipelines and data models.
• Improve data quality, monitoring, testing, performance and reliability.
• Build trusted datasets for reporting, analytics and decision‑making.
• Work closely with Data Analysts and Engineering teams.
• Identify technical debt and opportunities to improve the platform.
• Act as a technical point of contact for Data Engineering.
• Document key data flows, models and technical decisions.
• Provide technical guidance and support across the wider data function.

What We’re Looking For

• Strong commercial experience as a Data Engineer.
• Strong SQL and Python skills.
• Experience building and maintaining production data pipelines.
• Good understanding of data modelling and cloud data warehouses.
• Experience with modern ETL/ELT and data transformation tools.
• Strong understanding of Git, testing and deployment practices.
• Experience troubleshooting data quality and pipeline issues.
• Comfortable working with both technical and non-technical stakeholders.

Nice to Have

• Snowflake
• SQLMesh, dbt or similar
• dlt, Fivetran, Airbyte or similar
• AWS data workloads
• Terraform, Pulumi or other Infrastructure as Code
• BigQuery and GA4
• Omni, Looker or similar BI platforms
• Product, subscription, ecommerce or marketing data experience

The Opportunity

This is a great opportunity for a Senior Data Engineer who wants genuine ownership of a data platform and the opportunity to influence its technical direction as it continues to grow.