Save Job Back to Search Job Description Summary Similar JobsBuild data pipelines that power health-focused retail decisions.Work with a mission-driven team promoting wellness and clean living.About Our ClientThe company is a well-established large organization in the retail industry known for its commitment to delivering quality products and services. It has a strong presence in its market and values innovation and excellence in its technology-driven operations.Job DescriptionDevelop and maintain scalable data pipelines to process large volumes of data efficiently.Design, implement, and optimize data storage solutions to support analytical and business needs.Collaborate with cross-functional teams to integrate data from various sources into a unified platform.Ensure data integrity, security, and compliance with relevant regulations and standards.Monitor and troubleshoot data pipelines and systems to ensure seamless operation.Work closely with data analysts and scientists to provide clean, reliable datasets for analysis.Document data engineering processes and maintain comprehensive technical documentation.Continuously evaluate and adopt new tools and technologies to enhance data engineering capabilities.The Successful ApplicantA successful Data Engineer should have:Proficiency in programming languages such as Python, SQL, and DAX.Strong knowledge of data modeling, ETL processes, and database management systems.Experience working with big data frameworks and cloud platforms (AWS and Databricks)Excellent problem-solving skills and attention to detail.Ability to work collaboratively in a team environment.An understanding of the retail industry would be an advantage.What's on OfferOpportunities for professional growth and skill development.Access to comprehensive employee benefits.Being part of a large organization in the retail industry with a focus on innovation.A supportive and collaborative work environment.This is a permanent opportunity for those seeking to advance their career in data engineering. If you're ready to take on an exciting role in the retail industry, we encourage you to apply today!ContactVicente ApayQuote job refJN-062026-7037850Phone number+63 02 7795 2832Job summaryFunctionITSub SectorIT Data AnalysisWhat is your area of specialisation?RetailLocationPhilippinesJob TypePermanentConsultant nameVicente ApayConsultant contact+63 02 7795 2832Job ReferenceJN-062026-7037850