Data Engineer

SAGE; Newcastle upon Tyne; Hybrid; GBP 60,000 - 85,000; Full time

Benefits offered by this job

Pension scheme

Annual leave 25 days (+5)

Volunteer days

Enhanced parental leave

Work away scheme

Wellbeing memberships

Job summary

Sage in the United Kingdom is hiring a Data Engineer to own and accelerate data pipelines and analytics products within the Routes to Revenue team. You will manage Snowflake environments, develop reusable datasets, and automate data workflows to drive faster insights for customer growth.

The role requires strong SQL, cloud experience (AWS), and collaboration with analysts and business stakeholders to translate needs into scalable data solutions. Hybrid work from Newcastle is offered.

Qualifications

• Hands-on ownership of data pipelines and analytics products.
• Strong SQL skills and experience with large-scale datasets.
• Experience with cloud platforms and AWS services.
• Experience designing data pipelines or analytics workflows.
• Strong communication with non-technical stakeholders.
• Problem-solving mindset focused on business outcomes.

Responsibilities

• Build and maintain data pipelines consolidating data from multiple sources.
• Support Snowflake environment management, quality, governance and scalability.
• Develop reusable datasets and data products for migration, retention and expansion.
• Automate manual data workflows to improve speed to insight.
• Contribute to customer segmentation models and scoring engines.
• Assist in developing AI-enabled tools using AWS Bedrock and related services.
• Collaborate with analysts and stakeholders to translate business challenges into scalable solutions.

Skills

SQL

Data pipelines

Cloud platforms

Communication with stakeholders

Problem-solving

Tools

Snowflake

AWS Bedrock

Python

Power BI

Job description

Job Title

Data Engineer

Job Description

Join Sage's Routes to Revenue team and help build the data foundations that will power Sage's In-Life customer growth strategy. You will take hands‑on ownership of data pipelines, analytical products, and automation workflows that turn fragmented data into meaningful commercial outcomes. This is a great opportunity for someone who wants genuine ownership, real variety, and the chance to work at the intersection of data engineering, AI, and commercial strategy.

What You'll Be Doing

• Build and maintain data pipelines that consolidate information from multiple internal and external sources
• Support the management and optimisation of the team's Snowflake environment, contributing to data quality, governance, and scalability
• Develop reusable datasets and data products that support customer migration, retention, and expansion initiatives
• Automate manual data workflows to reduce operational effort and improve speed to insight
• Contribute to customer segmentation models and scoring engines that help teams prioritise high-impact opportunities
• Assist in developing AI-enabled tools using AWS Bedrock and related services to enrich data and support decision‑making
• Work alongside commercial analysts and stakeholders to translate business challenges into scalable technical solutions

Key Responsibilities

What We're Looking for

• You have practical experience in data engineering or, gained through work, internships, or projects, and are looking to take the next step
• Solid SQL skills and experience working with large-scale datasets
• Familiarity with cloud platforms, with some exposure to AWS services
• Experience designing or contributing to data pipelines or analytical workflows
• Ability to communicate clearly with non-technical stakeholders and translate requirements into practical solutions
• A problem‑solving mindset with a focus on delivering outcomes that matter to the business

Bonus points if you bring:

• Experience with Snowflake or similar cloud data warehouse platforms
• Python development skills, particularly for data-driven applications
• Exposure to customer segmentation, propensity modelling, or predictive analytics
• Familiarity with SaaS, subscription, or recurring revenue business models
• Experience with Power BI or other data visualisation tools
• Understanding of data governance and quality management practices

Your benefits (Only Applicable for UK Based Roles)

Benefits video -

• Generous bonuses and pension scheme: Up to 8% matched pension contribution plus 2% top-up by Sage.
• 25 days of paid annual leave with the option to buy up to another 5 days
• Paid 5 days yearly to volunteer through our Sage Foundation
• Enhanced parental leave
• Work away scheme for up to 10 weeks a year
• Access to various helpful memberships for finances, health and wellbeing

Function

Routes to Revenue

Country

United Kingdom

Office Location

Newcastle

Work Place type

Hybrid

Advert

Working at Sage means you're supporting millions of small and mid‑sized businesses globally with technology to work smarter and move faster. We build software that reduces busywork so customers can spend less time on admin and more time building their business.

Our colleagues are high‑performers who prioritise growth, make bold choices, and focus and galvanise to get things done. They work on meaningful, market‑shaping initiatives that stretch their skills, sharpen their craft, and create real customer impact.

Explore our culture and benefits:

We celebrate individuality and welcome you to join us if you embrace all backgrounds, identities, beliefs, and ways of working. We're a Disability Confident employer - if you're applying through this scheme or need adjustments at any stage, contact .