Data Engineer

About the role

PriceSenz, an AI‑first technology and digital services company, is looking for a hands‑on Data Engineer to build and maintain scalable data workflows that support internal products and client initiatives.

Key responsibilities

• Build and maintain end‑to‑end data workflows across multiple sources.
• Design and improve data models and data structures.
• Perform data ingestion, transformation, normalization, and enrichment.
• Create matching and deduplication logic to improve data quality.
• Implement validation and quality checks.
• Build processes for refresh schedules, exception handling, and data governance.
• Support data integration and operational workflows for internal products and client projects.
• Collaborate with engineering and product teams to operationalize and maintain data systems.
• Document data workflows, assumptions, and business rules.

Required profile

• 2‑6 years of experience in Data Engineering or related hands‑on data roles.
• Strong Python experience.
• Strong SQL experience.
• Experience handling multi‑source datasets.
• Experience with data modeling and normalization.
• Experience with data quality, matching, and deduplication.
• Strong problem‑solving and ownership mindset.
• Ability to work in fast‑moving environments.

Required skills

• Python
• SQL
• Data modeling
• Data normalization
• Data quality
• Matching
• Deduplication
• Data ingestion
• Data transformation
• Data enrichment
• Validation
• Data governance