SW Engineer III - Data Analytics & Insights

About NCR Atleos

NCR Atleos, headquartered in Atlanta, is a leader in expanding financial access. Our dedicated 20,000 employees optimize the branch, improve operational efficiency and maximize self-service availability for financial institutions and retailers across the globe.

Title: SW Engineer III - Data Analytics & Insights

Location: Dundee (Hybrid)

Grade: 11

Salary: £48,000 p/a (DOE)

• Design, develop, and maintain enterprise reporting and analytics solutions using Microsoft Power BI and Microsoft Fabric.
• Build scalable data models, semantic models, dashboards, and self-service reporting capabilities.
• Develop Python-based data processing and automation solutions to ingest, transform, validate, and analyze large datasets.
• Collaborate with engineering and business stakeholders to identify performance trends, operational opportunities, and actionable insights.
• Create data pipelines and workflows that support operational monitoring, anomaly detection, service analytics, and business intelligence initiatives.
• Integrate data from multiple enterprise systems including Azure, SQL databases, APIs, cloud platforms, and operational systems.
• Establish and maintain data quality standards, governance practices, and reporting best practices.
• Partner with leadership teams to define key performance indicators (KPIs) and operational metrics.
• Support root cause analysis activities by combining telemetry, operational, and business data sources.
• Contribute to continuous improvement initiatives by identifying automation opportunities and reducing manual reporting processes.
• Document analytical solutions, data models, and reporting standards to support long-term maintainability.
• Mentor junior engineers and analysts while promoting best practices in data engineering and business intelligence.

• Bachelor’s degree in Computer Science, Data Analytics, Information Systems, Engineering, or a related discipline, or equivalent industry experience.
• 5+ years of experience in data analytics, business intelligence, software engineering, or a related technical field.
• Strong experience developing solutions using Microsoft Power BI, including DAX, Power Query, semantic models, and dashboard design.
• Experience with Microsoft Fabric, Azure Data Services, or modern cloud-based analytics platforms.
• Advanced Python programming skills for data processing, automation, and analytics.
• Strong SQL development and database querying experience.
• Experience working with source control and collaborative development practices using Git Hub.
• Strong analytical and problem-solving skills with the ability to interpret complex datasets.
• Excellent communication skills and ability to present technical findings to both technical and non-technical audiences.
• Familiarity with Agile Framework and using Project Management tools such as Jira and Confluence

• Experience with Azure Data Factory, Synapse Analytics, Data Lake, or related cloud data technologies.
• Experience creating executive dashboards and operational reporting solutions.
• Knowledge of machine learning, anomaly detection, predictive analytics, or statistical analysis techniques.
• Experience working with large-scale telemetry, operational, or IoT datasets.
• Familiarity with Dev Ops practices, CI/CD pipelines, and Git Hub Actions.
• Experience supporting engineering, operations, services, or product organizations through data-driven decision making.

• A passion for using data to solve business problems.
• Strong attention to detail and commitment to data accuracy.
• The ability to balance technical depth with business value.
• A continuous improvement mindset focused on automation and operational excellence.
• A collaborative approach and desire…