Data Engineer

Signet Jewelers; United States; On-site; USD 110,000 - 160,000; Full time

Benefits offered by this job

401(k) matching after one year of-emlo

Job summary

Signet Jewelers is seeking an AI Data Analytics Engineer to design, develop, and support analytics and AI-enabled data solutions using PostgreSQL, AWS Redshift, Microsoft Fabric, and Power BI.

The role focuses on building scalable analytics platforms that integrate enterprise data and empower self-service analytics, AI-driven insights, and advanced reporting. Ideal candidates have strong data engineering and analytics expertise in cloud architectures and semantic layers.

Qualifications

• Bachelor's degree in Computer Science or related field is required.
• 5+ years related experience in data analytics or data engineering is required.

Responsibilities

• AI & Analytics Solution Engineering: design and develop AI-enabled analytics solutions for enterprise reporting, forecasting, and insights.
• Generative AI integrations and AI-assisted analytics to enable natural language reporting and predictive analytics.
• Develop reusable analytics frameworks and scalable data products for enterprise reporting and AI use cases.
• AI-Driven Data Quality & Automation: identify data anomalies and quality issues; build monitoring and alerting frameworks.
• Automate data profiling, data lineage, and governance; optimize SQL and documentation; support intelligent automation initiatives.

Skills

Data analytics

Cloud analytics

AI-enabled reporting

Education

Bachelor's degree in Computer Science or related field

Tools

PostgreSQL

AWS Redshift

Microsoft Fabric

Power BI

Job description

Location: Dallas, TX or Akron, OH (Hybrid) Preferred

Open to remote

POSITION SUMMARY

We are seeking a highly skilled AI Data Analytics Engineer to design, develop, and support enterprise analytics and AI-enabled data solutions leveraging PostgreSQL, AWS Redshift, Microsoft Fabric, enterprise semantic models, and Power BI reporting platforms.

This role will focus on building scalable analytics solutions that integrate enterprise operational and analytical data platforms while enabling advanced reporting, self-service analytics, and AI-driven business insights.

The ideal candidate combines strong data engineering and analytics expertise with experience in modern cloud analytics architectures, semantic layer design, and AI-enabled reporting capabilities.

RESPONSIBILITIES

AI & Analytics Solution Engineering

• Design and develop AI-enabled analytics solutions supporting enterprise reporting, forecasting, operational insights, and intelligent decision-making.
• Generative AI integrations
• AI-assisted analytics
• Natural language reporting
• Predictive analytics
• Recommendation and insight generation capabilities
• Develop reusable analytics frameworks and scalable data products supporting enterprise reporting and AI use cases.
• Identify opportunities to leverage AI capabilities to improve reporting development efficiency and business insight generation.

Additional Key Responsibilities – AI-Driven Data Quality & Automation

AI-Enabled Data Quality & Automation

• Design and implement AI-driven solutions that proactively identify:
• data anomalies,
• and data quality issues across enterprise platforms.
• Develop intelligent monitoring and alerting frameworks that detect abnormal data patterns, missing data, volume fluctuations, and KPI deviations before impacting business operations.
• Build AI-assisted development accelerators that reduce analytics and reporting development time through:
• and AI-assisted testing and validation.
• Implement machine learning and AI techniques to improve:
• data validation,
• matching accuracy,
• and automated remediation workflows.
• Create AI-enabled solutions that proactively analyze upstream system and schema changes to identify potential downstream reporting and integration impacts.
• Develop automated data profiling and data lineage solutions that improve governance, transparency, and operational stability.
• Leverage AI capabilities to streamline:
• SQL optimization,
• documentation,
• and operational support processes.
• Support enterprise initiatives focused on intelligent automation and operational efficiency within data engineering and analytics platforms.
• Collaborate with governance and architecture teams to establish standards for responsible AI usage within analytics and reporting ecosystems.
• Evaluate emerging AI technologies and platforms to improve enterprise analytics capabilities, development efficiency, and business insight generation.

POSITION QUALIFICATIONS

• Bachelor's degree in Computer Science or related field
• 5+ years related experience

BENEFITS & PERKS

• 401(k) matching after one year of employment