Data Engineer: Scalable Pipelines, Snowflake & AI Tools

SAGE GROUP PLC; Newcastle upon Tyne; Hybrid; GBP 60,000 - 90,000; Full time

Benefits offered by this job

8% pension matched

2% Sage top-up

25 days annual leave (+5)

Volunteer days (5 per year)

Enhanced parental leave

Work away scheme (up to 10 weeks)

Memberships for finances, health &Well

Disability-friendly employer

Job summary

Sage Group plc (Newcastle, United Kingdom) is seeking a data engineer to build and maintain data pipelines, optimise Snowflake, and develop data products that support customer migration, retention, and expansion. The role focuses on data quality, governance, and scalable analytics in a hybrid work setting.

You will automate workflows, contribute to segmentation models, and assist in AI-enabled tooling using AWS Bedrock, collaborating with analysts and stakeholders across the business.

Qualifications

• Translate business challenges into scalable technical solutions with stakeholders.
• Proven experience in data engineering or equivalent exposure.
• Strong SQL skills and large-scale data handling.
• Familiarity with cloud platforms, especially AWS.
• Experience designing data pipelines or analytical workflows.
• Clear communication with non-technical stakeholders to drive outcomes.
• Problem-solving mindset focused on business impact.

Responsibilities

• Build and maintain data pipelines from multiple sources.
• Support Snowflake environment data quality, governance, scalability.
• Develop reusable datasets and data products for migration/retention.
• Automate manual data workflows to speed insights.
• Contribute to customer segmentation models and scoring engines.
• Assist in developing AI-enabled tools using AWS Bedrock.

Skills

SQL

Snowflake

Python

ETL pipelines

Cloud platforms

Data governance

Data modeling

Communication

Power BI

Tools

Power BI

AWS

Git

Job description

Sage Group plc (Newcastle, United Kingdom) is seeking a data engineer to build and maintain data pipelines, optimise Snowflake, and develop data products that support customer migration, retention, and expansion. The role focuses on data quality, governance, and scalable analytics in a hybrid work setting.

You will automate workflows, contribute to segmentation models, and assist in AI-enabled tooling using AWS Bedrock, collaborating with analysts and stakeholders across the business.