Snowflake Data Engineer

TEAM International; Philippines; On-site; PHP 1,800,000 - 2,400,000; Full time

Benefits offered by this job

Flexible engagement model

Global client exposure

Security & regulatory compliance

People-first environment

23 days PTO

Job summary

TEAM International is a global IT consulting and software development partner hiring a hands-on Senior Data Engineer to design, build, and operate cloud-native data and AI solutions. You will leverage AWS and Snowflake to create production-grade data products, optimize pipelines, and enable scalable analytics across structured and unstructured data.

You’ll collaborate with business and technical stakeholders to translate requirements into robust data architectures, apply CI/CD, observability,

Qualifications

• 7+ years of hands-on software/data engineering in enterprise environments.
• Deep AWS and Snowflake experience with data pipelines.
• Strong Python and Java with production-grade software practices.
• Experience with AI-assisted development tools preferred.
• Ability to translate business problems into technical scopes.

Responsibilities

• Design, build, and operate production-grade software and data solutions end-to-end.
• Design and implement reliable, scalable data pipelines using AWS and Snowflake.
• Model, curate, and optimise Snowflake datasets and schemas for performance and usability.
• Apply strong software engineering practices: clean code, CI/CD, testing, observability.
• Partner with stakeholders to translate requirements into robust data solutions and analytics use cases.
• Use AI-assisted engineering tools to accelerate development while maintaining quality.
• Build cloud-native integrations and automations on AWS and managed AI services.
• Own deployment, release, and production operations with root-cause analysis and incident resolution.

Skills

AWS

Snowflake

Python

Java

CI/CD

Data modeling

Education

Bachelor's or Master's degree in Computer Science/Software Engineering/Data Science

Tools

Snowflake

AWS cloud services

Job description

We're a global IT consulting company and a software development service provider that helps organizations operate at their best. With 30+ years of experience, +6 Global locations, and +1000 employees, TEAM combines technology expertise, valuable insights, business intelligence, and a client-centered approach to address challenges in business operations, digital transformation, risk management, compliance, business continuity, and more.

We are looking for a hands-on Senior Data engineer who can design, build, and operate robust cloud-native data and AI solutions. The ideal candidate combines strong software engineering fundamentals with deep practical experience in AWS and Snowflake.

Responsibilities

• Design, build, and operate production-grade software and data solutions end-to-end, from problem definition and architecture through implementation, deployment, monitoring, and continuous improvement.
• Design and implement reliable, scalable, secure, and well-governed data pipelines and data products using AWS and Snowflake across structured, semi-structured, and unstructured data sources.
• Model, curate, and optimise Snowflake datasets, schemas, and data structures in line with enterprise platform standards, ensuring performance, quality, consistency, and usability for downstream consumers.
• Apply strong software engineering practices, including clean code, modular design, automated testing, CI/CD, observability, secure development, and maintainable architecture.
• Partner with business and technical stakeholders to translate requirements into robust data solutions, prioritise delivery, and identify opportunities to enable advanced analytics and AI use cases.
• Use AI-assisted engineering as a standard part of daily development work to accelerate coding, refactoring, documentation, testing, debugging, and solution exploration while maintaining strong engineering judgement and quality standards.
• Build cloud-native integrations and automation on AWS, making effective use of services such as compute, storage, networking, security, orchestration, event-driven architectures, and managed AI services where appropriate.
• Own deployment, release, and production operations, including troubleshooting, root-cause analysis, performance tuning, incident resolution, peer code reviews, pair programming, and reuse of proven engineering patterns.

Requirements

• Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence / Machine Learning, or a related technical discipline.
• 7+ years of professional experience in a hands-on software engineering, solution engineering, or data engineering role, with a proven track record of delivering production-grade systems in enterprise environments.
• Demonstrated ability to build and operate data products, cloud services, or AI-enabled solutions with measurable business outcomes and clear operational ownership.
• Deep hands-on AWS experience is required, including practical knowledge of core services for compute, storage, networking, identity and access management, security, orchestration, monitoring, and serverless or event-driven architectures. AWS certification is preferred, ideally AWS Certified Solutions Architect – Associate, AWS Certified Data Engineer – Associate, or AWS Certified Machine Learning Engineer – Associate.
• Deep hands-on Snowflake experience is required, including data modelling, SQL performance tuning, pipeline integration, access control, cost/performance optimisation, data sharing, and platform governance. SnowPro® Core Certification or advanced Snowflake certifications are a plus.
• Strong proficiency in Python and/or Java, with solid understanding of software design principles, APIs, automated testing, packaging, dependency management, and production maintainability.
• Experience with AWS AI services, including Amazon Bedrock, and familiarity with agent-based AI solution patterns, retrieval-augmented generation, model evaluation, guardrails, and responsible AI practices is preferred.
• Demonstrated habit of using AI-assisted engineering tools such as GitHub Copilot, Claude, Cursor, or similar tools as part of everyday development to improve productivity, code quality, testing, documentation, and delivery speed.
• Familiarity with harness engineering or similar AI-assisted development concepts, including structuring prompts, evaluation loops, reusable development workflows, automated checks, and feedback mechanisms to improve reliability, repeatability, and engineering quality.
• Strong hands‑on engineering mindset, with a focus on code quality, sound design decisions, maintainability, and effective collaboration in team-based environments.
• Strong familiarity with the software development lifecycle, Git-based workflows, CI/CD, infrastructure-as-code concepts, automated testing, DevOps practices, and production support.
• Ability to translate ambiguous business problems into clear technical scopes, iterative delivery plans, and measurable success criteria.
• Comfortable working with sensitive and confidential data, and partnering with governance, risk, and security stakeholders to embed controls from the start.
• Strong collaboration and communication skills, with the ability to work closely with business stakeholders and cross‑functional technology teams.
• Preferred: background in the financial industry, with an understanding of financial markets, data sensitivity, regulatory expectations, and enterprise risk controls.

What We Offer

At TEAM International, you’ll have the opportunity to work on impactful projects alongside top professionals, collaborate with international clients, and leverage the latest technologies.

• Work with global IT talent in a flexible engagement model
• Be part of challenging, high-impact projects with modern tech stacks
• Full compliance with security and regulatory standards
• A supportive, collaborative, and people‑first environment
• 23 days of paid time off per year, plus paid public holidays