Jobs Companies NCR Atleos SW Engineer III - Data Analytics & Insights

Über diese SW Engineer III - Data Analytics & Insights Stelle bei NCR Atleos

NCR Atleos · Vor Ort · DUNDEE, GBR

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)

Key Areas of Responsibility

  • 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.

Required Qualifications

  • 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 GitHub.
  • 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

Preferred Qualifications

  • 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 DevOps practices, CI/CD pipelines, and GitHub Actions.
  • Experience supporting engineering, operations, services, or product organizations through data-driven decision making.

What You'll Bring

  • 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 to work across multiple teams and disciplines.

Why Join Us

You will have the opportunity to influence strategic decisions across Smart Services and broader NCR Atleos initiatives by delivering insights that improve customer experiences, operational efficiency, and business performance. This role offers significant exposure to engineering, product, operations, and executive leadership teams while working with modern analytics platforms including Microsoft Fabric, Power BI, Python, Azure, and GitHub.

#LI-Hybrid

#LI-AG1

Offers of employment are conditional upon passage of screening criteria applicable to the job.

EEO Statement
NCR Atleos is an equal-opportunity employer. It is NCR Atleos policy to hire, train, promote, and pay associates based on their job-related qualifications, ability, and performance, without regard to race, color, creed, religion, national origin, citizenship status, sex, sexual orientation, gender identity/expression, pregnancy, marital status, age, mental or physical disability, genetic information, medical condition, military or veteran status, or any other factor protected by law.


Statement to Third Party Agencies

To ALL recruitment agencies: NCR Atleos only accepts resumes from agencies on the NCR Atleos preferred supplier list. Please do not forward resumes to our applicant tracking system, NCR Atleos employees, or any NCR Atleos facility. NCR Atleos is not responsible for any fees or charges associated with unsolicited resumes.

Bereit, sich bei NCR Atleos zu bewerben?
Bei NCR Atleos bewerben

Über NCR Atleos

Help us bring innovation to financial institutions across the globe. At NCR Atleos, you’ll have meaningful and relevant work experiences , with opportunities to learn and make a real contribution. We are dedicated to solving the challenges our customers face through continuous innovation and a commitment to set ting the highest standard in self-service banking . A career at NCR Atleos means embracing our innovative culture and values, seeking new adventures and carving your own path.

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