D2B
DataEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Engineer at D2B. Skills: Data Engineering, Data Pipelines, Data Warehousing, SQL, Python, Snowflake. building, maintaining, and optimizing data pipelines and infrastructure. data extraction, transformation, and modelling”
What You'll Achieve.
measurable outcomes
What They're Looking For.
Must Have
3+ years of experience in data engineering or modern data platform delivery, proficiency in SQL and Python, Hands-on experience with Snowflake, Microsoft Fabric, Fivetran, Coalesce, or dbt (data build tool), Solid understanding of medallion architecture and dimensional modelling
Nice to Have
Consulting experience is a plus, client-first mindset is essential
What You'll Do.
and optimizing data pipelines and infrastructure
ensure accurate and reliable data across systems
Design and deliver modern data platforms
Build and maintain scalable data pipelines and data models
and governance standards are met
Support data integration
and warehousing processes
Contribute to internal standards
Collaborate with technical teams to improve data architecture and performance
Continuously improve data workflows and engineering processes
How You'll Work.
Team & Collaboration
Collaborate with technical teams to improve data architecture and performance; Work directly with a supportive Australian/New Zealand team
Communication Scope
communication skills; ability to work with clients directly
Process & Methodology
Proven ability to own and deliver end-to-end projects with measurable outcomes
Full Job Description
_**Note: This is for active pooling purposes only. Submitting your application does not guarantee employment. Your details will be kept on file and considered for future opportunities as they become available.**_ We are seeking a dedicated and detail-oriented Data Engineer to join our team. This remote role involves building, maintaining, and optimizing data pipelines and infrastructure to support analytics and reporting. The successful candidate will focus on data extraction, transformation, and modelling to ensure accurate and reliable data across systems. This role requires strong skills in SQL, Python, and Snowflake, along with experience in ETL processes and data warehousing. Strong attention to detail and data quality is essential. **Position:** Data Engineer **Salary:** PHP 100,000 - PHP 150,000/month (flexible for more experienced candidates) **Working Hours & Conditions:** AU/NZ business hours; Mondays to Fridays, 6:00AM to 3:00PM PH Time; full-time (remote) **Holidays** : TBD **Responsibilities:** * Design and deliver modern data platforms using tools like Snowflake, Microsoft Fabric, Azure, Fivetran, Coalesce, dbt, and Power BI * Build and maintain scalable data pipelines and data models * Ensure data quality, reliability, and governance standards are met * Support data integration, transformation, and warehousing processes * Contribute to internal standards, frameworks, and best practices * Collaborate with technical teams to improve data architecture and performance * Continuously improve data workflows and engineering processes **Requirements** **Qualifications:** * 3+ years of experience in data engineering or modern data platform delivery * Strong proficiency in SQL and Python * Hands-on experience with **Snowflake, Microsoft Fabric, Fivetran, Coalesce** , or dbt (data build tool) * Solid understanding of medallion architecture and dimensional modelling * Familiarity with data governance and metadata tools such as Microsoft Purview and Coalesce Catal
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