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Copeland

Manufactures energy-efficient HVACR compressors and components

Senior Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeQuezon City, Metro Manila, PhilippinesNo salary listed

About the Job

Requirements

  • A bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline is required.
  • Seven to ten years of Data Engineering experience is required.
  • Strong expertise in Azure Data Factory, Snowflake, dbt Core or Cloud, SQL, and Python is required.
  • Experience building enterprise ETL/ELT pipelines and cloud data integration solutions is required.
  • A strong understanding of data warehousing, dimensional modeling, and enterprise data architecture is required.
  • Experience with APIs, CRM, marketing automation, and digital analytics platforms is required.
  • Knowledge of Git, Azure DevOps or GitHub, CI/CD, data governance, metadata, lineage, and security is required.
  • Analytical, troubleshooting, and communication skills are required.
  • The role requires a mid-shift schedule of either 1:00 PM–10:00 PM or 2:00 PM–11:00 PM, depending on the team's final alignment.
  • The role requires onsite work three times per week in a hybrid arrangement.
  • The employee may occasionally need to support US counterparts as business needs arise.
  • The role requires a customer and business focus, the ability to manage multiple priorities, problem-solving capabilities, collaboration, proactivity, and commitment to continuous improvement.

Responsibilities

  • Design, develop, and maintain scalable data pipelines that ingest, transform, and deliver marketing and enterprise data across multiple business systems.
  • Develop high-quality ELT/ETL solutions using Azure Data Factory, dbt, Snowflake, SQL, and Python.
  • Build and maintain reusable data models supporting marketing analytics, customer insights, campaign reporting, segmentation, attribution, and personalization.
  • Ensure data is transformed, validated, and stored using efficient and scalable design patterns.
  • Optimize Snowflake performance, resource utilization, query execution, and processing costs.
  • Maintain technical expertise in modern cloud data platforms and follow SDLC, coding standards, version control, documentation, and deployment processes.
  • Collaborate with Marketing, Analytics, Digital, and Business stakeholders to translate business requirements into scalable technical solutions.
  • Analyze source systems and data flows to improve data quality, reliability, and operational efficiency.
  • Design scalable data models and transformation logic aligned with enterprise architecture.
  • Develop and execute testing strategies to ensure data accuracy and successful deployments.
  • Recommend practical solutions that simplify design while meeting business needs.
  • Monitor and support production data pipelines to ensure reliability and timely issue resolution.
  • Collaborate with Platform Engineering, DevOps, Enterprise Architecture, and Data Governance teams.
  • Identify operational risks, performance bottlenecks, and data quality issues, and recommend improvements.
  • Maintain technical documentation, including solution designs, data lineage, metadata, and operational procedures.
  • Participate in release planning, deployments, and production support.
  • Communicate project status, delivery timelines, and technical risks.
  • Mentor junior engineers and promote engineering best practices.

About the Company

Copeland

Manufactures energy-efficient HVACR compressors and components

Copeland provides energy-efficient heating, cooling, and refrigeration components for HVACR systems, focusing on compressors, controls, and related parts. Its products help OEMs, distributors, contractors, and end users operate HVACR systems with lower energy use and reduced environmental impact. The company differentiates by specializing in end-to-end HVACR components and sustainable climate solutions, emphasizing energy efficiency and environmental responsibility. Its goal is to help customers lower energy consumption and carbon emissions across residential, commercial, and industrial applications.

Company size
5,001-10,000
Company stage
Grant
Total funding
$2.5M
Headquarters
St. Louis, MO
Founded
1921

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