Data Engineer: AI-Powered Pipelines & Growth Analytics

Sage City; Newcastle upon Tyne; On-site; GBP 55,000 - 75,000; Full time

Benefits offered by this job

Bonus scheme

Pension plan

Volunteer days

Additional leave

Work away scheme

Job summary

Sage is seeking a data engineer to own data pipelines and analytical workflows, turning fragmented data into actionable commercial insights. You will optimise Snowflake, develop reusable datasets, and automate workflows to accelerate decision-making.

Collaborate with commercial analysts and stakeholders to translate business challenges into scalable technical solutions, including AI-enabled tooling with AWS Bedrock.

Qualifications

• Strong SQL skills and experience with large-scale datasets.
• Experience designing or contributing to data pipelines or analytical workflows.
• Familiarity with cloud platforms, especially AWS services.

Responsibilities

• Build and maintain data pipelines from multiple sources.
• Manage and optimise Snowflake environment for quality and scalability.
• Develop reusable datasets and data products for migration, retention, and expansion.

Skills

SQL

Snowflake

Python

Data pipelines

Power BI

Tools

AWS Bedrock

Job description

Sage is seeking a data engineer to own data pipelines and analytical workflows, turning fragmented data into actionable commercial insights. You will optimise Snowflake, develop reusable datasets, and automate workflows to accelerate decision-making.

Collaborate with commercial analysts and stakeholders to translate business challenges into scalable technical solutions, including AI-enabled tooling with AWS Bedrock.