Senior Data Engineer

Cloud Employee, is a UK-owned Philippines business established 8 years ago. We connect high-performing software engineer talent in the Philippines with some of the world’s leading and most innovative tech companies. Developers join to work from the Philippines as part of international engineering teams and grow their CV and skill-set. 

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We pride ourselves on being a supportive, cutting-edge workplace that continuously invests in staff development, engagement, and well-being. We provide security, career paths, individual training programs, and mentoring.

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We are looking for a Senior Data Engineer who will play a foundational role in building scalable data pipelines and services, with an emphasis on AI-readiness, automation, and cost-efficient solutions. The ideal candidate will not only have strong technical expertise in Snowflake, Python, and orchestration tools (e.g. Apache Airflow), but also be capable of working closely with business stakeholders and contributing to the long-term data strategy.

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This person will be the first internal data engineering hire, working alongside a consultancy partner to take over key components of the current platform and lay the groundwork for future use cases and team growth.

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A UK-based travel and hospitality company specializing in luxury travel, bespoke holiday planning, and adventure experiences. The company emphasizes personalized services, sustainability, and innovation, catering to a diverse client base ranging from high-net-worth individuals to families. There are exciting opportunities to contribute to enhancing digital platforms, improving e-commerce solutions, and leveraging AI for personalization and operational efficiency.

• Build, test, and maintain data pipelines and ETL processes within a Snowflake environment.
• Write Python-based DAGs and orchestrate workflows using Apache Airflow.
• Collaborate with the existing engineering team and document the process. Build scalable solution based on predefined pipelines
• Work with business stakeholders to understand use cases and data requirements.
• Ensure data quality, logging, monitoring, and alerting mechanisms are in place.
• Design and implement reliable data integration patterns across different systems.
• Contribute to the technical roadmap and long-term in-house data engineering strategy.
• Support the migration of third-party pipelines to internal DevOps processes.

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• 5+ years of experience in data engineering, Snowflake and Python.
• Proven experience with Apache Airflow or similar workflow orchestration tools.
• Strong understanding of ETL/ELT pipelines, data validation, and data warehouse best practices.
• Experience working with AWS environments and data pipeline deployment.
• Ability to reverse engineer and document third-party data solutions.
• Comfort with monitoring and maintaining production pipelines (logging, alerts, etc.).
• Self-starter with the ability to operate independently in a startup-like environment.

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• Exposure to LLMs, agentic AI systems, or AI-driven automation.
• Familiarity with DevOps tools like Jenkins or Azure Pipelines.
• Understanding of data dictionaries, metadata catalogs, and compliance frameworks.
• Leadership experience and/or interest in growing and mentoring a future team.
• Knowledge of the hospitality, travel, or recruitment industries.

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• Technically Strong & Self-Sufficient: Can independently build, debug, and optimize pipelines without constant guidance. Capable of reverse-engineering third-party systems and taking ownership of engineering tasks.
• Collaborative & Communicative: Comfortable engaging with both business stakeholders and technical teams. Can extract business logic, translate into technical deliverables, and explain their approach clearly.
• Proactive Problem Solver: Able to identify inefficiencies, propose cost-effective solutions, and drive improvements without waiting for direction.
• Adaptable & Forward-Thinking: Embraces change and understands the importance of AI-readiness and future scalability. Sees beyond immediate tasks and contributes to long-term architecture decisions.
• Detail-Oriented: Understands the risks of poor data quality and ensures robust monitoring, alerting, and documentation are in place.
• Balanced Leadership Potential: While formal leadership isn’t mandatory, the ability to collaborate with product owners, guide strategy, and eventually support junior engineers is highly valued.

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• Competitive Salary.
• Benefits package include HMO, training allowance, gym or food allowance, educational assistance for dependents, and more.
• An annual salary increase, as laid out in the contract.
• Free food and drinks provided during virtual events.
• Company trips

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