Data Engineer - Level I (MS)
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Before you apply
LocationPHL-Manila
Typefull-time
SeniorityMid
Experience3+ yrs
Company size10,000+ people
PostedNov 2, 2026 · 5d ago
Verified live4d ago
At a glanceSummarised by Seekless from the posting.
3+ years of experience in data engineering or related role
Strong proficiency in SQL with experience writing complex queries, CTEs, and window functions
Proficiency in Python for data engineering tasks, scripting, and automation
Hands-on experience with dbt (Core or Cloud) for data transformation and modeling
Experience orchestrating workflows with Apache Airflow or similar tools
Working knowledge of Snowflake or similar cloud data warehouses (Redshift, BigQuery)
Understanding of infrastructure requirements for data engineering, including deployment strategies, environment configuration, and resource management
Understanding of dimensional modeling and data warehouse design patterns
Experience with version control (Git) and CI/CD practices
Strong problem-solving skills and attention to data quality
Bachelors degree in computer science, business, or related field
Experience with data replication tools such as Qlik Replicate, Fivetran, AWS DMS, or similar CDC solutions
Experience setting up and managing infrastructure for dbt Core, including deployment automation, testing frameworks, and orchestration integration
Knowledge of real-time data streaming and event-driven architectures
Knowledge of containerization (Docker) and infrastructure as code (Terraform, CloudFormation)
Experience with cloud platforms (AWS, Azure, GCP)
Knowledge of data governance and security best practices
Familiarity with DataOps practices and testing frameworks
Understanding of software engineering principles and agile methodologies
Skills
Apache Airflow
dbt Core
dbt Cloud
Snowflake
SQL
Python
Redshift
BigQuery
Git
CI/CD
Qlik Replicate
Fivetran
AWS DMS
Docker
Terraform
CloudFormation
AWS
Azure
GCP
About the company
With a company culture rooted in collaboration, expertise and innovation, we aim to promote progress and inspire our clients, employees, investors and communities to achieve their greatest potential. Our work is the catalyst that helps others achieve their goals. In short, We Enable Possibility℠.
About the role
This position develops, implements, and maintains software solutions that enable business operations to realise company goals & objectives. The incumbent performs analysis, design, coding, debugging, testing, and support of software application systems. He/she may be assigned to develop new applications, enhance existing applications and/or provide production support. The incumbent works independently on projects of moderate scope or complexity and receives detailed instructions on new and/or more complex assignments.
Tasks/Responsibilities
•
Design and develop data pipelines using Apache Airflow to orchestrate complex workflows and ensure reliable data delivery
•
Build and maintain transformation logic using dbt Core, supporting the infrastructure needed, implementing best practices for modular, tested, and documented analytics code
•
Develop and optimize data models in Snowflake, leveraging cloud data warehouse capabilities for performance and cost efficiency
•
Write complex SQL for data transformation, quality validation, and business logic implementation
•
Collaborate closely with the infrastructure team to ensure the data platform remains modern, well-monitored, and fully optimized, with industry best practices consistently applied
•
Collaborate with analytics and business teams to understand requirements and translate them into scalable data solutions
•
Implement data quality checks, monitoring, and alerting to ensure data reliability
•
Document data pipelines, models, and processes for knowledge sharing
•
Optimize query performance and manage Snowflake resource utilization
•
Participate in code reviews and contribute to data engineering best practices
Requirements Skills/Experience
•
3+ years of experience in data engineering or related role
•
Strong proficiency in SQL with experience writing complex queries, CTEs, and window functions
•
Proficiency in Python for data engineering tasks, scripting, and automation
•
Hands-on experience with dbt (Core or Cloud) for data transformation and modeling
•
Experience orchestrating workflows with Apache Airflow or similar tools
•
Working knowledge of Snowflake or similar cloud data warehouses (Redshift, BigQuery)
•
Understanding of infrastructure requirements for data engineering, including deployment strategies, environment configuration, and resource management
•
Understanding of dimensional modeling and data warehouse design patterns
•
Experience with version control (Git) and CI/CD practices
•
Strong problem-solving skills and attention to data quality
Desired Skills:
•
Experience with data replication tools such as Qlik Replicate, Fivetran, AWS DMS, or similar CDC solutions
•
Experience setting up and managing infrastructure for dbt Core, including deployment automation, testing frameworks, and orchestration integration
•
Knowledge of real-time data streaming and event-driven architectures
•
Knowledge of containerization (Docker) and infrastructure as code (Terraform, CloudFormation)
•
Experience with cloud platforms (AWS, Azure, GCP)
•
Knowledge of data governance and security best practices
•
Familiarity with DataOps practices and testing frameworks
•
Understanding of software engineering principles and agile methodologies
Education
•
Required knowledge and skills would typically be acquired through a Bachelors degree in computer science, business, or related field
Do you like solving complex business problems, working with talented colleagues and have an innovative mindset? Arch may be a great fit for you. If this job isn’t the right fit but you’re interested in working for Arch, create a job alert! Simply create an account and opt in to receive emails when we have job openings that meet your criteria. Join our talent community to share your preferences directly with Arch’s Talent Acquisition team.
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