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Data","description":"<p><strong>Why this role exists:</strong></p><p>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 modern 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.&nbsp;</p><p>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.</p><p><strong>Where you will make a difference:</strong></p><p><strong>In this role you will:</strong></p><p><strong>Data Pipeline Engineering &amp; Scalability</strong></p><ul><li>Design and build scalable, automated data pipelines using Snowflake, AWS/GCP, and modern ELT frameworks.</li><li>Lead the ingestion of diverse datasets from key enterprise systems including SAP, Salesforce, and Adobe into the Enterprise Data Platform (EDP).</li><li>Implement complex transformation logic using dbt and SQL pipelines to ensure data is business ready.</li></ul><p><strong>Platform Optimisation &amp; 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AI hub.</li></ul><p><strong>Who you will be working with:</strong></p><ul><li>Technology Teams: Collaborate with the Data Architect, Data Modellers, and the AI team to align engineering efforts with broader architectural and AI roadmaps.</li><li>Analytics Team: Partner with Data Scientists and Analysts to understand data requirements and ensure the delivery of high-quality datasets.</li><li>Delivery Hub: Contribute to a high-performance and collaborative engineering culture.</li><li>Stakeholders: Engage with broader Technology leaders to support the execution of the enterprise data strategy and the migration from legacy systems.</li></ul><p><strong>What success looks like:</strong></p><ul><li>Reliable Data Assets: Successful deployment and maintenance of stable, scalable data pipelines with minimal downtime and high data integrity.</li><li>Technical Excellence: Delivery of high-quality, well-documented code that adheres to Officeworks’ engineering standards and promotes reusability.</li><li>Operational Efficiency: Measurable improvements in pipeline performance and cost-optimisation within the cloud data environment.</li><li>Continuous Growth: Demonstrable contribution to the capability uplift of the engineering team through effective mentorship and the implementation of process improvements.</li></ul><p><strong>How you will lead:</strong></p><p><strong>Individual Contributor</strong></p><ul><li>Lives our Officeworks values and behaviours</li><li>Proactively contributes to a safe working environment, escalates appropriately if there are unsafe conditions or inappropriate behaviour</li><li>Operates in line with applicable Officeworks company policies and Code of Conduct</li><li>Demonstrates a strong sense of personal accountability and curiosity to learn and develop</li></ul><p><strong>Qualifications and work experience:</strong></p><p><strong>Essential</strong></p><ul><li>Education: Tertiary qualification in Computer Science, Information Technology, Data Engineering, or a related field.</li><li>Experience: Minimum of 5-7 years in Data Engineering or related roles, with extensive experience building production-grade ELT/ETL pipelines.</li><li>Technical Mastery: Expert-level proficiency in SQL and deep hands-on experience with Snowflake and dbt (data build tool).</li><li>Cloud Proficiency: Demonstrated experience working within AWS or GCP ecosystems to manage large-scale data ingestion and storage.</li><li>Adaptability: Proven ability to adapt to new technologies (including shifting from traditional ML to AI frameworks) and a strong cultural fit for a fast-paced, evolving environment.</li><li>Communication: Strong interpersonal skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders.</li></ul><p><strong>Preferred</strong></p><ul><li>Industry Context: Experience within a large-scale Retail or Omnichannel environment, particularly involving SAP or Salesforce integrations.</li><li>Advanced Tooling: Familiarity with GitHub for version control and automated CI/CD deployment workflows.</li></ul>","employment_type":"Full-Time","industry":"","job_template":false,"country":{"name":"India","country_code":"IN","region":"Asia"},"is_job_displayable":true,"job_url":"https://talent500.com/jobs/officeworks/senior-engineer-data-bengaluru-T500-26921","created_at":"2026-06-23T18:19:02.761497+05:30","updated_at":"2026-07-28T20:24:24.397720+05:30","title_alias_1":"Senior Engineer - Data","slug":"senior-engineer-data-bengaluru-T500-26921","summary":null,"typical_workday":null,"what_you_offer":null,"what_you_need_to_succeed":null,"responsibilities":null,"type":null,"min_experience_years":5,"max_experience_years":10,"ctc_unit":"LPA","is_featured_job":false,"is_active":true,"job_code":"T500-26921","external_id":39035,"external_job_code":"OWSP001","is_anonymized":false,"mercurial_skills":null,"open_date":"2026-07-08T15:33:12.499508+05:30","published_at":"2026-06-23T18:19:01.703660+05:30","anonymization_needed":null,"anonymized_description":null,"xml_feed_anonymization":null,"unregistered_user_anonymization":null,"registered_user_anonymization":null,"pre_application_email_anonymization":null,"mettl_account":null,"job_table_sub_head":null,"job_table_short_desc":null,"is_remote":null,"job_video":null,"job_video_title":null,"job_video_description":null,"job_image_url":"https://wattt.s3.ap-south-1.amazonaws.com/PRODUCTION/T500-26921.png","role_summary":"<p><strong>About the Data and Analytics Function:</strong></p><p>By joining the Data, Analytics and AI Hub within Officeworks’ Global Capability Centre (GCC), you will play a pivotal role in enabling business growth and performance through insight, intelligence and innovation. 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