Data Engineer: Pipelines, AI & Personalization

• Support QVC and collaborate with an Agile team to build data pipelines and models

• Drive data-driven decision-making and personalization

• Shape both back-end data structures and how insights are delivered

• Design data architecture, models, APIs, and pipelines aligned with data architecture principles and team goals

• Solve complex data challenges to deliver insights that drive outcomes

• Create data products for analytics and data science teams to improve their productivity and insights

• Lead the evaluation, implementation, and deployment of new tools for analytics data engineering

• Develop and deliver plans on analytic data engineering capabilities and standards

• Partner with product teams and solution architects to develop scalable, reliable technical architectures

• Mentor peers through code reviews, collaboration, and technical coaching

• Explore and learn about machine learning, data science, AI, and personalization technologies to evolve our approach

Requirements

• Bachelor's degree in Computer Science or related field, or equivalent experience
• 4+ years of software development and design experience with emphasis on data warehousing, ETL, and database design
• Experience developing data engineering processes and SQL proficiency
• Experience using Azure tools (Databricks, Data Factory, Delta Lake, Synapse, ADLS, PySpark, SQL Server, Databricks Notebooks)
• Experience transforming, cleansing, and ensuring quality of large-scale data sets
• Knowledge of modern data architecture, application landscapes, and CI/CD tools (e.g., Azure Dev Ops)
• Experience in data warehouse design (e.g., slow changing dimensions, partitioning, indexing) and AI-driven personalization models
• Familiarity with Agile (Scrum), distributed systems, and 24×7 production environments
• Understanding of compliance, regulations, and data governance in tech environments

🔍 ATS Optimization Keywords
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Hard Skills

• data engineering
• ETL
• database design
• SQL
• data warehousing
• data architecture
• machine learning
• data science
• AI
• data modeling

Soft Skills

• collaboration
• mentoring
• problem-solving
• communication
• leadership
• technical coaching
• decision-making
• creativity
• adaptability
• teamwork

Certifications & Qualifications

• Bachelor's degree in Computer Science
• data engineering certifications