Sage
Data Engineer
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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
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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:
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- 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
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