Support the development of a scalable, governed, and selfservice analytics capability across Unilode.
Design and maintain trusted data models, semantic layers, and analytical datasets.
Improve data accessibility and adoption, supporting the ongoing evolution of Unilode’s Enterprise Data Warehouse (EDW).
Collaborate with analysts, business users, product teams, and technical stakeholders.
Create and maintain documentation for data models, workflows, and use cases.
Perform unit, integration, and efficiency testing to validate data quality and credibility.

Hands-on experience in data engineering, analytics engineering, or related fields.
Experience working with Databricks, including Jobs/Workflows, repositories, cluster policies, and Unity Catalog.
Strong proficiency in PySpark and SQL with experience building scalable ETL/ELT pipelines.
Solid understanding of Delta Lake architecture including Bronze, Silver, and Gold design patterns.
Experience working with AWS services including S3, IAM, and secure data architectures.
Understanding of dimensional modelling and star schema design.
Experience implementing CI/CD for data pipelines using Git-based workflows.
Strong analytical and problem-solving skills.
Ability to work effectively across engineering, analytics, product, and business teams.
Strong communication skills with the ability to support, mentor, and guide stakeholders.
Experience supporting semantic layer development or self-service analytics environments.
Exposure to machine learning pipelines or advanced analytics environments.
Experience with BI and visualisation platforms.
Familiarity with data governance and metadata management practices.

Business Insights Engineer

Key skills