16 Sep
|
Officeworks
|
India
Why this role exists:
The Senior Engineer (Data) is responsible for designing, building, and maintaining robust and scalable data pipelines to support Officeworks enterprise data strategy and the evolution of AI-driven capabilities. By leveraging the Snowflake enterprise data platform and up-to-date ELT frameworks, the role ensures that high-quality data from core systems like SAP, Salesforce, and Adobe is accessible for advanced analytics and self-serve reporting.
As a senior member of the Technology team, this role plays a critical part in driving data democratisation and continuous improvement, providing the technical foundations that enable Officeworks to make data-led decisions and improve customer outcomes.
Where you will make a difference:
In this role you will:
Data Pipeline Engineering & Scalability
Design and build scalable, automated data pipelines using Snowflake, AWS/GCP, and modern ELT frameworks.
Lead the ingestion of diverse datasets from key enterprise systems including SAP, Salesforce, and Adobe into the Enterprise Data Platform (EDP).
Implement complex transformation logic using dbt and SQL pipelines to ensure data is business ready.
Platform Optimisation & Governance
Monitor and optimise data pipeline performance and cloud compute cost efficiency within the Snowflake setting.
Develop and maintain technical documentation and metadata to ensure data lineage and transparency.
Support the transition toward a self-serve analytics model by ensuring data architectures support democratised access.
Technical Leadership & Mentorship
Provide technical guidance and mentorship to junior engineers, fostering a culture of high-quality code and engineering excellence.
Conduct code reviews and ensure all data engineering work aligns with established architectural standards and security protocols.
Continuous Improvement & Process Excellence
Identify prospects to automate manual data processes and improve the reliability of the data ec
📌 Senior Engineer Bengaluru (India)
🏢 Officeworks
📍 India