Senior Data Engineer Agentic Workflows And Data Platforms

About the job Senior Data Engineer (Agentic Workflows & Data Platforms)Build the systems that build the systems — join Smartsourcing as a Senior Data Engineer!

Hi! Were Smartsourcing, and were looking for a Senior Data Engineer to join our team full-time and onsite. This isnt a role about writing pipelines — its about building the intelligent, deterministic frameworks that generate pipelines, with the guardrails to make sure AI-augmented output actually meets production standards. If youre the kind of engineer who gets excited about agentic systems, multi-agent orchestration, and data architecture that scales, you might be exactly who were looking for.

Where? JEG Tower, Archbishop Reyes, Corner Acacia St., Barangay Kamputhaw, Cebu City, 6000 Cebu

Your Role as a Senior Data Engineer

As a Senior Data Engineer for Agentic Workflows & Data Platforms, youll be the architect behind the infrastructure that powers our data platform — designing multi-agent systems, enforcing rigorous quality gates, and driving the evolution of our Medallion and Kimball models toward modern, decentralized data ontologies. Youll work with minimal supervision, lead with conviction, and mentor the engineers around you.

Key Responsibilities

• Agentic Workflow Development
• Architect and deploy multi-agent systems (using frameworks like LangGraph) to automate data pipeline design, data profiling, and semantic validation
• Integrate LLMs and agentic tools such as Claude Code Skills and Agent Teams into CI/CD and data engineering workflows
• Framework Engineering
• Build and maintain highly opinionated, deterministic engineering templates that standardize data ingestion
• Output declarative specification files rather than raw, unpredictable AI-generated code
• Develop robust boilerplates and reusable, configuration-driven pipeline patterns to replace bespoke free-form Spark code
• Deterministic Quality Gates
• Implement strict, non-LLM validation loops (e.g., Python scripts checking for known code smells) to ensure AI-generated logic meets rigorous production standards before execution
• Maintain and evolve validation frameworks as patterns change
• Architecture Evolution
• Drive data architecture evolution using local/cloud LLMs and agentic personas to accelerate ETL/ELT workflows
• Manage current Medallion/Kimball models while preparing infrastructure for transition toward loosely connected, decentralized data ontologies
• Design fault-tolerant and self-healing pipelines
• Data Management & Modeling
• Understand and continuously improve the business concepts behind database design, source systems, and data models used for reporting
• Business Collaboration & Leadership
• Work directly with seniors, team leaders, and managers to identify shortcomings in ETL and database technology and devise solutions
• Mentor non-senior team members and support team leaders in supervising overall performance
• Systems Auditing & Security
• Conduct routine audits of data storage systems and databases to ensure security, accuracy, and efficiency
• Apply secure data engineering best practices in line with ISO 27001:2022
  

What Makes You a Strong FitKnowledge, Experience, and Soft Skills

• Bachelors degree in Computer Science, Data Engineering, Information Management, or equivalent work experience
• 5+ years of Data Engineering experience with deep expertise in Databricks/Microsoft Fabric and Delta Lake
• Hands-on experience integrating LLMs and agentic frameworks into CI/CD and data engineering workflows
• Strong understanding of dimensional modeling, Medallion architectures, and modern metadata management
• High proficiency in Python and SQL
• Experience applying software engineering best practices (test coverage, DRY principles, robust templating) to AI-augmented development
• Strong critical thinker with a bias toward engineering rigor over hype
• Confident communicator who can articulate technical trade-offs to non-technical stakeholders
• Collaborative team player with a genuine interest in mentoring junior engineers
  
  

Technical Skills

• Microsoft Fabric, Databricks, Delta Lake, and Azure Data Factory
• Agentic AI frameworks such as Claude Code Skills, BMAD, or similar
• Python for pipeline development, framework engineering, and automation
• SQL — database design, stored procedures, functions, views
• Data modeling: Kimball dimensional modeling and Medallion architecture
• Data warehousing and Lakehouse patterns
• CI/CD pipelines with integrated AI/LLM validation gates
  
  

Nice-to-Haves

• Experience with Power BI or a similar BI/visualization tool
  
  

Benefits

Step Into the Smartsourcing Experience

Smartsourcing was created with one mission: to change lives. Were here to ensure that businesses flourish and, just as importantly, that every member of the crew is inspired, supported, and set up to thrive. For the fifth year running, weve been recognized as one of HR Asias Best Companies to Work For. This award isnt just a title, its a testament to our commitment to making Smartsourcing an incredible place to build a career.

Why Youll Love Working Here

About

At Smartsourcing, we believe the best work comes from people who feel seen, heard, and valued. Thats why were all about fostering an environment where you can be your true self. We take pride in being certified as a Great Place to Work, because we know that when you love where you work, extraordinary things happen. Heres just a glimpse of what we offer:

• 5-day Christmas Leave (unwrap real time off)
• Healthcare from Day 1 for you and your family (because healthcare matters)
• Free lunch and barista-crafted coffee daily (we take our caffeine seriously)
• Night shift differential for evening schedules
• Subsidized gym membership and sports wellness clubs including hiking and free-diving
• Smartsourcing Exclusives (deals made just for you)
• Themed BFFs, monthly knockoffs, summer parties
• Community give-back programs and personal development workshops
• And so much more!
  
  

Were not just another outsourcing company. Were building something that actually matters — a place where good work meets good culture.

If youre ready to build the frameworks that shape the future of data, apply now!

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