Sr. Data Engineer (Snowflake)

APPLY; Philippines; Hybrid; PHP 900,000 - 1,800,000; Full time

Benefits offered by this job

Generous vacation policy

Flexible work arrangements

Training budget and AI upskilling

Job summary

APPLY is seeking a Senior Data Engineer to design, build, and optimize scalable data pipelines and cloud data warehouses. You will collaborate with cross-functional teams to enable analytics, reinforce governance, and drive AI-enabled data initiatives.

The role involves hands-on work with Snowflake, BigQuery, Python, and dbt in a hybrid/remote-friendly setup across North and Latin America. Strong English communication and 5+ years of experience are required.

Qualifications

• 5+ years of experience in data engineering building modern cloud-based data platforms.
• Strong hands-on experience with Snowflake including performance tuning, security, and data modeling.
• Advanced SQL skills for analytics engineering and data transformation.
• Proficiency in Python for data processing, automation, and orchestration.
• Experience with dbt or similar analytics engineering frameworks.
• Familiarity with orchestration tools such as Dagster or Apache Airflow.
• Experience enabling ML/AI-driven use cases on top of data platforms.
• Solid understanding of data privacy, governance, and compliance best practices.
• Excellent English communication and collaboration skills.

Responsibilities

• Design, build, and maintain scalable data pipelines and architectures to support analytical and operational workloads.
• Develop and optimize ETL/ELT pipelines, ensuring efficient data extraction, transformation, and loading from various sources.
• Work closely with backend and platform engineers to integrate data pipelines into cloud-native applications.
• Manage and optimize cloud data warehouses, primarily BigQuery, ensuring performance, scalability, and cost efficiency.
• Implement data governance, security, and privacy best practices, ensuring compliance with company policies and regulations.
• Collaborate with analytics teams to define data models and enable self-service reporting and BI capabilities.
• Develop and maintain data documentation, including data dictionaries, lineage tracking, and metadata management.
• Monitor, troubleshoot, and optimize data pipelines, ensuring high availability and reliability.
• Stay up to date with emerging data engineering technologies and best practices, continuously improving our data infrastructure.

Skills

Snowflake

SQL

Python

dbt

Airflow

Dagster

ML feature engineering

data governance

problem solving

English communication

Tools

Snowflake

dbt

Dagster

Airflow

Databricks

BigQuery

Job description

ABOUT APPLY

APPLY is the Agentic Customer Experience (ACx) partner for the world's most ambitious consumer and entertainment brands. We bring together deep domain expertise across Retail, CPG, Sports, and Media with AI-native delivery capability, designing and delivering agentic solutions that turn CX vision into commercial reality. We are the partner of choice for brands like Arc'teryx, NFL, Lululemon, and Kraft Heinz. For more information, visit applydigital.com.

LOCATION:

APPLY is hybrid/remote-friendly. The preferred candidate should be based in Latin America, preferably working in hours that align to PT (Pacific Timezone) or ET (Eastern Timezone). Candidates located in Santiago, Chile are able to work out of our Santiago office as remote/hybrid employees. Candidates located outside of Santiago, Chile will be fully remote employees.

THE ROLE:

WHAT YOU’LL DO:

• Design, build, and maintain scalable data pipelines and architectures to support analytical and operational workloads.


• Develop and optimize ETL/ELT pipelines, ensuring efficient data extraction, transformation, and loading from various sources.


• Work closely with backend and platform engineers to integrate data pipelines into cloud-native applications.


• Manage and optimize cloud data warehouses, primarily BigQuery, ensuring performance, scalability, and cost efficiency.


• Implement data governance, security, and privacy best practices, ensuring compliance with company policies and regulations.


• Collaborate with analytics teams to define data models and enable self-service reporting and BI capabilities.


• Develop and maintain data documentation, including data dictionaries, lineage tracking, and metadata management.


• Monitor, troubleshoot, and optimize data pipelines, ensuring high availability and reliability.


• Stay up to date with emerging data engineering technologies and best practices, continuously improving our data infrastructure.

WHAT WE’RE LOOKING FOR:

• Certified Snowpro


• Experience collaborating with distributed teams across North America and Latin America.


• 5+ years of experience in data engineering, building modern cloud-based data platforms.


• Strong hands-on experience with Snowflake, including performance tuning, security, and data modeling.


• Advanced SQL skills for analytics engineering and data transformation.


• Proficiency in Python for data processing, automation, and orchestration.


• Experience with dbt or similar analytics engineering frameworks.


• Familiarity with orchestration tools such as Dagster or Apache Airflow.


• Experience enabling or supporting machine learning, feature engineering, or AI-driven use cases on top of data platforms.


• Solid understanding of data privacy, governance, and compliance best practices.


• Strong problem-solving skills and a pragmatic, delivery-oriented mindset.


• Strong problem-solving skills, with the ability to debug and optimize complex data workflows.


• Excellent English communication and collaboration skills.

NICE TO HAVES:

• Experience with Snowflake Cortex, Snowpark, or ML workflows integrated with Snowflake.


• Familiarity with GenAI or LLM-enabled analytics use cases (e.g., semantic layers, AI-assisted insights, decisioning).


• Experience with Databricks or hybrid Snowflake + Databricks architectures.


• Exposure to real-time or near-real-time data pipelines.


• Experience with BI tools (e.g., Looker, Tableau, Power BI).


• Infrastructure as Code experience (e.g., Terraform) in data environments.


• Familiarity with CDPs, marketing platforms, and digital experience ecosystems (e.g., Segment, Contentful, personalization tools).

LIFE AT APPLY

People are at the core of everything we do at APPLY. We provide you with modern tools, systems and approaches, value your time, safety, and health, and strive to build a work community where you can thrive and grow. Here are a few benefits we offer to support you:

Agentic Delivery: Our people work in a modern way to deliver client outcomes. Broaden your skills on a range of engagements with international brands that have a global impact.

An inclusive and safe environment: We’re truly committed to building a culture where you are celebrated and everyone feels welcome and safe.

AI & Strategic Upskilling: Accelerate your professional growth with generous training budgets and mentorship, with a specific focus on Agentic AI expertise and the critical human skills required for the future of work.

Generous vacation policy: Work-life balance is key to our team’s success, so we offer ample time away from work to promote overall well-being.

Flexible work arrangements: We work in a variety of ways, from remote, to in-office, to a blend of both.

APPLY is a safe, respectful, and inclusive community where differences are celebrated. We are committed to equal opportunity and fostering a workplace where everyone belongs. Learn more in our Diversity, Equity, and Inclusion (DEI) section. For recruitment accommodations, please email [e-mail].