Data Engineer, Ikano Retail
Core
Designing, building, and maintaining large-scale data infrastructure and pipelines to support advanced analytics, machine learning, and automation for retail operations.
Role type
Senior Data Engineer (Technical Lead)
Builds
Robust data infrastructure, ETL pipelines, data lake models, and CI/CD processes for retail data solutions.
Domain
Retail / Cloud Data Engineering
Deliverable
production ML models | infrastructure
Required skills
SQL, data modelling, cloud computing (Azure), Azure Data Factory, Databricks, PySpark, Azure Synapse, dbt, CI/CD pipeline management, data pipeline documentation
Preferred skills
AI/ML integration, process improvement, cost optimization, mentoring junior team members
Technologies
Azure, Azure Data Factory, Databricks, PySpark, Azure Synapse, dbt
Responsibilities
Drive development of innovative data capabilities and cutting-edge solutions; enhance and maintain robust data infrastructure for ETL and data serving; prepare for AI technology adoption and integration; identify and implement internal process improvements for scalability and cost efficiency; monitor and enhance production pipelines for data availability and accuracy; define and optimize data modelling strategy within the data lake; lead documentation for infrastructure, orchestration, and coding standards; manage data solution code repositories and migration processes.
Seniority
Senior, hands-on IC with technical leadership