Microsoft Fabric and Databricks Developer

Microsoft Fabric & Databricks Developer Location: Cebu or Manila, Philippines (Remote-first, aligned to Australian business hours – AEST) Employment Type: Project Based The Role The Microsoft Fabric & Databricks Developer will be responsible for designing, developing, and maintaining scalable data solutions using Microsoft Fabric and Databricks. You will work within an Agile team to build and optimise data pipelines, lakehouse architectures, data transformations, and analytics solutions, ensuring reliable, secure, and cost-effective delivery that meets client requirements. Responsibilities: Design, develop, and maintain scalable data solutions using Microsoft Fabric and Databricks. Build, configure, and optimise ETL/ELT data pipelines to ingest, transform, validate, and load data from multiple sources. Develop and maintain Microsoft Fabric Lakehouse and Databricks components, including tables, data models, notebooks, and data processing workflows. Develop data transformations and processing logic using SQL, Python, PySpark, and Spark. Integrate data from multiple sources and systems while maintaining data consistency across environments. Monitor data pipelines and jobs, investigate failures, troubleshoot issues, and implement fixes or enhancements. Implement data validation, error handling, monitoring, and data quality checks to ensure reliable datasets. Perform unit testing, integration testing, debugging, and troubleshooting of data pipelines and transformations. Optimise pipelines, queries, notebooks, and Spark jobs to improve performance, scalability, and cost efficiency. Develop and maintain CI/CD processes, version control, environment promotion, and production deployment workflows. Collaborate with engineers, architects, analysts, and stakeholders to clarify requirements, estimate development tasks, participate in code reviews, and deliver features. What We're Looking For 4+ years of experience in data engineering or data development roles. Hands-on experience with Microsoft Fabric and/or Databricks in production or enterprise environments. Strong practical understanding of: Data engineering and ETL/ELT pipelines Microsoft Fabric Lakehouse Databricks and Apache Spark SQL, Python, and PySpark Data transformation and integration Experience developing and supporting scalable data pipelines and processing workflows. Experience working with structured and semi-structured data from multiple sources. Understanding of data quality, validation, monitoring, and error handling. Hands-on experience troubleshooting and supporting production data solutions. Project & Delivery Skills Experience working in Agile/Scrum delivery environments. Familiarity with Git, Azure DevOps, Jira (or equivalent), and modern development workflows. Experience with CI/CD, version control, and automated deployment processes. Comfortable working remotely with distributed teams while remaining accountable for outcomes. Strong debugging, performance optimisation, and problem-solving capability. Proactive, self-directed, and delivery-focused. Strong attention to detail with a pragmatic approach under pressure. Able to explain technical decisions clearly to teammates and non-technical stakeholders. Enjoys working in collaborative, outcome-oriented engineering teams. Bonus (Nice to Have) Experience with additional Microsoft Fabric capabilities such as Data Factory, Data Warehouse, Power BI, or Real-Time Intelligence. Experience with Azure services commonly used within modern data platforms. Exposure to: Infrastructure as Code using Terraform or Bicep Advanced Azure DevOps pipelines Data governance and security Cloud cost optimisation Enterprise-scale data platforms Experience in consulting or multi-client delivery environments. Prior experience working with Australian or international clients. Why Join C9 You'll work on real, complex data engineering and cloud projects – not low-value data administration. Heavy exposure to modern data platforms, cloud technologies, analytics, and automation. A delivery culture that values technical credibility and practical engineering. Remote-first setup with strong exposure to Australian enterprise and government clients. Opportunity to work across Microsoft Fabric, Databricks, Azure, and modern data engineering environments. Opportunity to grow into senior data engineering, architecture, and technical leadership roles as C9 scales. Working Arrangements Remote; must be available during Australian Business Hours (AEST). Tools and equipment provided per company policy. Remuneration & Incentives Remuneration and incentives commensurate with experience. How to Apply You may apply directly or send us your resume at [email protected] . When applying, you will need to include your expected hourly rate in PHP, your CV and relevant experience, general weekly availability, and possible start date. Note: Our interview process includes a mandatory live video checkpoint to verify your physical location. Candidates must be permanently based and interviewing in the Philippines to ensure compliance with regional labor regulations.