Senior Azure Data Engineer

Manila Recruitment

. Design, build and maintain pipelines across medallion layers, from raw ingestion through reporting datasets .

Posted 10/2/2026full-timeMuntinlupa • PhilippinesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining data pipelines, ensuring data quality and schema consistency, and implementing effective monitoring and failure handling. Proficient in advanced SQL, Python, and data modeling techniques to support production-grade data engineering solutions.

Highest-signal resume keywords

Data Engineering ExperienceAdvanced SQL ProficiencyMicrosoft Fabric ExperienceCI/CD for DataData Governance Knowledge

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ArchitectureETL DesignDimensional ModellingIncremental LoadsData Quality ChecksProduction DeliveryData ModellingDAXPerformance TuningSchema Consistency

Soft Skills

CollaborationProblem-SolvingAttention to Detail

Tools & Technologies

PythonSparkDatabricksSnowflakeAzure DevOpsGitHub ActionsPower BIFabric Git Integration

Industry Keywords

Medallion DesignData WarehousingData LineageRole-Based AccessAgentic Engineering

Tech Stack

Tools & technologies

AzureETLPythonSparkSQL

About the role

Key responsibilities & impact

Design, build and maintain pipelines across medallion layers, from raw ingestion through reporting datasets
Own pipelines end to end, including failure handling, monitoring, refresh schedules and team-standard implementation
Develop readable, tested and maintainable production transformations with idempotency, safe replay, incremental logic and appropriate data modelling
Ingest data from operational systems through gateways or equivalent connectors, handling incremental loads, schema drift and late-arriving data
Implement data-quality checks and maintain schema consistency across layers
Trace defects to the layer where they entered and fix root causes
Build and tune reporting datasets, models and measures
Collaborate with analysts and application developers to deliver actionable reporting
Use source control and deployment pipelines; review and deploy small changes without editing in place
Monitor, triage and support production pipelines, automating repeated manual interventions
Specify transformations and acceptance criteria, direct coding agents, and verify generated logic against real data before release
Keep repository context, checks and tests current based on real failures

Requirements

What you’ll need

At least 5 years of experience in Data Engineering
Understands data architecture, including production delivery against a Medallion or equivalent layered design, dimensional modelling, data warehousing, and ETL or ELT design
Can build production-grade pipelines, advanced SQL including joins, aggregations and incremental loads, and use Python or Spark for transformations
Microsoft Fabric experience; Databricks, Snowflake or Synapse experience is equally credible
Experience supporting pipelines in production, including monitoring, refresh reliability, recovery, and safe replay
Power BI dataset modelling, DAX and performance tuning
Data governance, lineage and role-based access
CI/CD for data using Azure DevOps, GitHub Actions or Fabric Git integration
Knowledge and awareness of agentic engineering; hands-on experience is beneficial rather than required