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Senior Data Engineer

by | Mar 9, 2026

Curran Daly + Associates
Published
March 9, 2026
Location
BGC, Taguig, Philippines
Category
Analytics  
Job Type
Manager/Senior Manager  

Description

The role

We’re hiring a hands-on Data Engineer to own our SQL data estate, design scalable pipelines, and lead data enrichment across our Azure-first platform. You’ll set the standards for modeling, quality, security, and cost while writing production-grade Python and SQL daily.

What you’ll own

SQL Databases

  • Design and evolve schemas for OLTP/OLAP (Azure SQL, Synapse, Delta Lake), with partitioning, indexing, and RLS for multi-tenant isolation.
  • Establish data contracts and versioning, govern schema evolution, and implement CDC + SCD patterns.
  • Performance engineering: query tuning, resource classes, caching strategies, and cost guardrails.

Data Pipelines

  • Architect ELT/ETL across batch & streaming using Azure Data Factory/Synapse/Databricks, Event Hubs/Service Bus, Functions, and Container Apps/AKS.
  • Build reliable, observable pipelines (idempotent, retryable, lineage-aware) with SLAs/SLOs and runbooks.
  • Implement CI/CD for data (dbt/SQL projects, PySpark jobs, tests) using GitHub Actions and IaC (Terraform/Bicep).

Data Enrichment

  • Define and operate enrichment layers: UPC/GS1, OCR/EXIF metadata, taxonomies, embeddings, and third-party data joins.
  • Curate gold/semantic models for analytics & product APIs; manage feature/metric definitions and documentation.
  • Partner with DS/ML to operationalize feature stores, model outputs, drift signals, and evaluation tables.

Azure Architecture & Governance

  • Own reference architecture across ADLS Gen2, Synapse/Databricks, Azure SQL/SQL Server, Cosmos DB (incl. vector), Azure AI Search, Key Vault, Purview.
  • Security & compliance by default: encryption, secret management, RBAC/ABAC, data retention and GDPR/SOC 2 controls.
  • Observability: OpenTelemetry + Azure Monitor/App Insights, data quality tests, freshness SLAs, and lineage in Purview.

What you’ll build (examples)

  • A durable image ingestion & enrichment pipeline: validate assets, extract OCR/UPC, compute embeddings, store lineage, publish search-ready views.
  • A hybrid retrieval layer (vector + filters) across Cosmos DB/Azure AI Search for similarity and recommendations.

Minimum qualifications

  • Extremely strong Python & SQL (you can diagnose complex query plans, write PySpark and pandas with equal ease).
  • 7+ years in data engineering/architecture with production ownership of SQL databases and pipelines.
  • Deep Azure experience: ADLS Gen2, Data Factory/Synapse/Databricks, Azure SQL/SQL Server, Functions, Event Hubs/Service Bus, Key Vault.
  • Proven design skills in data modeling (star/snowflake, Data Vault/Lakehouse), CDC/SCD, and semantics (dbt or equivalent).
  • Track record implementing data quality frameworks, lineage, and cost/performance guardrails at scale.
  • Strong understanding of multi-tenant SaaS, security, and privacy (GDPR basics).

Nice to have

  • Cosmos DB (incl. vector) and Azure AI Search; embedding pipelines for images/text.
  • Feature stores, MLflow/registries, real-time inference plumbing.
  • SQL Server internals, PolyBase/Serverless SQL; Postgres familiarity.
  • Purview rollouts, governance programs, and data product operating models.

Job Types: Full-time, Permanent

Benefits:

  • Health insurance
  • Life insurance
  • Opportunities for promotion
  • Promotion to permanent employee
  • Work from home

Application Question(s):

  • In case there will be an office here in the PH, are you willing to go onsite at least 2-3x a week?
  • Do you have any experience with Data Modeling?

Experience:

  • Data Architect: 5 years (Required)
  • Data Engineering: 5 years (Required)
  • Python: 5 years (Required)
  • SQL: 5 years (Required)

Work Location: BGC, Taguig

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Paula is a seasoned recruitment professional with seven years of experience, bringing a wealth of expertise in technical recruitment, client management, and strategic hiring practices across multiple industries.
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Geoff Curran has a Bachelor of Economics from the University of Western Australia and over twenty years experience as a specialist recruitment practitioner. During that time he has worked with organizations to secure talent at the middle and senior levels.

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In 1989, Geoff moved to Sydney and at Morgan and Banks specialized in recruiting for accounting and finance. He then spent two years in London, further developing his skills in this field. He returned to Sydney in 1994 and joined Margot Davis and Company, a recruitment consultancy which specialized in marketing, advertising, and marketing communications. He subsequently became a shareholder and a director in said business.

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