Job Description
We are looking for a versatile Software/ Business Intelligence Developer to join our Head Office team. You will be at the heart of our data ecosystem, building the pipelines and
insights that power critical decisions from shelf stocking and supplier management to customer promotions and logistics. If you love turning complex data into actionable retail
intelligence, this is your chance to make a visible impact.
Duties And Responsibilities
- Design, develop, and maintain robust ETL/ELT processes using Python to ingest data from our POS systems, inventory management, supplier portals, and logistics partners into our data warehouse.
- Develop interactive, user-friendly Power BI dashboards that provide real-time insights into sales performance, stock levels, supplier performance, and store efficiency.
- Utilize Docker and Kubernetes (K8s) to containerize and orchestrate our data applications, ensuring they are scalable, reliable, and efficient.
- Model and manage our data warehouse to ensure it serves as a single source of truth for the business, optimised for fast querying and reporting.
- Work directly with merchandising, supply chain, and marketing teams to understand their challenges and deliver data solutions that drive Boxer's value proposition.
- Monitor, troubleshoot, and improve our data systems to ensure the accuracy and timely availability of critical business data.
Minimum Requirements
- Degree or Diploma in IT, Computer Science, Information Systems, or related field.
- Proven experience as a BI Developer, Data Engineer, or similar role.
- Strong proficiency in Python for data manipulation and automation (e.g., Pandas, SQL Alchemy, Airflow/Luigi).
- Hands-on experience building and managing ETL/ELT pipelines.
- Solid experience with Data Warehousing principles (e.g., Star Schema, Kimball).
- Expertise in developing interactive reports and dashboards with Microsoft Power BI (DAX, Power Query, Data Models).
- Practical experience with Docker for containerization.
- Experience deploying and managing applications on Kubernetes (K8s).
- Advanced SQL skills for complex querying and data analysis.
- Previous experience in a fast-paced retail or FMCG environment is a significant advantage.
- Familiarity with cloud platforms like Microsoft Azure (preferred), AWS, or GCP.
- Knowledge of infrastructure-as-code (e.g., Terraform, Helm).
- Experience with version control (Git) and CI/CD pipelines.
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