At a Glance
- Tasks: Build and maintain data pipelines, automate workflows, and develop AI tools.
- Company: Join Sage, a leader in tech for small and mid-sized businesses.
- Benefits: Generous bonuses, 25 days leave, hybrid work, and enhanced parental leave.
- Other info: Dynamic team culture focused on growth and meaningful initiatives.
- Why this job: Make a real impact while working with cutting-edge data technologies.
- Qualifications: Experience in data engineering, SQL skills, and cloud platform familiarity.
The predicted salary is between 63000 - 77000 £ per year.
Responsibilities
- 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
Requirements
- Work alongside commercial analysts and stakeholders to translate business challenges into scalable technical solutions
- 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 Saa S, subscription, or recurring revenue business models
- Experience with Power BI or other data visualisation tools
- Understanding of data governance and quality management practices
Benefits
- Benefits video - https://youtu. be/TCMt TYUUiu U
- 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: sage. com/careers/working-at-sage 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 careers@sage. com.
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Data Engineer in Newcastle upon Tyne employer: Sage Group plc
At Sage, we pride ourselves on being an exceptional employer, offering a dynamic work environment in our Cobalt office, Newcastle upon Tyne. Our commitment to employee growth is evident through ongoing training, flexible working patterns, and a culture that celebrates individuality and diversity. With comprehensive health benefits and opportunities for meaningful community engagement, we empower our team members to thrive both personally and professionally.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Newcastle upon Tyne
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We think you need these skills to ace Data Engineer in Newcastle upon Tyne
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