Strong Middle Data Engineer

Intellias helps retailers deliver consistent, omnichannel experiences through technology. Join us to develop scalable solutions that drive performance and customer value.

What project we have for you

This new initiative focuses on establishing a dedicated Operational Data Product Team to address the critical fragmentation and slow utilisation of Supply Chain Management data trapped in complex SaaS systems. The project’s primary goal is to sustainably provide integrated, governed, and timely Supply Chain Management data to the organisation, enabling strategic reporting, direct integration into transactional processes, and unlocking the potential for advanced AI. The resulting Data Product will serve as a robust blueprint for future data solutions across the business.

What you will do

• Collaborate with business stakeholders and technical teams to understand and analyze data requirements
• Lead the design and implementation of data models and database structures that meet business needs
• Profile, refactor, and tune performance in the database
• Design and implement complex ETL processes to extract, transform, and load data from various source systems into the data warehouse
• Ensure data integrity, consistency, and accuracy through robust data quality assurance measures
• Review and support team members, providing guidance and mentorship
• Supervise and contribute to the data-driven strategy for the project, aligning it with business objectives

What you need for this

Ideal candidate: Experienced Python developer with expertise in both batch and streaming ETL/ELT processes on Databricks and 4+ years of experience as an engineer.

Core technical skills:

• Python –advanced
• SQL – advanced
• Structured Streaming, Auto Loader, Delta Live Tables
• Unity Catalog
• Databricks Workflows
• Git integration

Certifications are nice to have:

• or