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 – https://youtu.be/TCMtTYUUiuU

• 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