Senior Data Engineer

Adaca • Philippines
Remote
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AI Summary

Lead the design and delivery of scalable data pipelines and analytics platforms. Drive end-to-end delivery of data products across multiple workstreams. Collaborate with client stakeholders and cross-functional teams.

Key Highlights
Lead data pipeline design and delivery
Drive end-to-end data product delivery
Collaborate with client stakeholders and cross-functional teams
Key Responsibilities
Architect, build, and optimize complex data pipelines
Define and enforce data modelling standards, pipeline design patterns, and best practices
Manage and optimize data workflows within AWS cloud environments
Technical Skills Required
Python Databricks AWS React
Benefits & Perks
Remote work
Full-time employment
Opportunity to work with international clients
Nice to Have
AWS - S3, Glue, Lambda, Redshift, or equivalent cloud data services
React - familiarity with front-end data application development or visualization layers

Job Description


Things to know before applying:

  • You must have your own work equipment
  • You are able to work remotely
  • You can work full-time for this role
  • Experience working with clients/companies outside PH is an advantage
  • Only candidates who meet the requirements will be contacted
  • You can start ASAP

Job Description: We are seeking a Senior Data Engineer to lead the design and delivery of scalable data pipelines and analytics platforms across multiple concurrent projects, supporting analytics outcomes across Parts, Services, and ERP domains for a leading Australian automotive data company.

Key Responsibilities:

Data Engineering & Architecture

  • Architect, build, and optimize complex data pipelines using Python and Databricks
  • Define and enforce data modelling standards, pipeline design patterns, and best practices
  • Lead the design of scalable, maintainable data platform solutions

Analytics Project Delivery

  • Drive end-to-end delivery of data products across Parts, Services, and ERP analytics workstreams
  • Ensure high data quality, integrity, and performance across all layers of the data platform
  • Translate complex business requirements into technical solutions

Platform & Cloud Infrastructure

  • Manage and optimize data workflows within AWS cloud environments
  • Contribute to or review front-end data application layers built in React where applicable
  • Implement monitoring, alerting, and incident response for data pipelines

Technical Leadership & Collaboration

  • Mentor mid-level engineers and provide technical guidance across the team
  • Collaborate with client stakeholders and cross-functional teams to align on delivery priorities
  • Contribute to technical documentation, code reviews, and engineering standards

Qualifications:

  • 5+ years of experience in data engineering or a closely related discipline
  • Proven track record delivering data pipelines and analytics platforms in production at scale
  • Experience working across multiple concurrent projects or workstreams
  • Strong stakeholder communication skills, including experience working with international clients
  • Ability to lead technical discussions and influence architectural decisions
  • Comfortable working autonomously in a fully remote environment

Tech Stack Requirements:

Core (Must Have)

  • Python — advanced pipeline development, data transformation, and scripting
  • Databricks — Delta Lake, workflow orchestration, performance tuning, and cluster management

Advantageous (Nice to Have)

  • AWS — S3, Glue, Lambda, Redshift, or equivalent cloud data services
  • React — familiarity with front-end data application development or visualization layers

Hiring Process:

  • Phone screening
  • Technical Test
  • Behavioral Interview
  • Alignment with Developer from Adaca
  • Client interview

About Adaca: Adaca is at the forefront of bridging software development solutions by connecting Australian mid-tier companies with top-tier talents in the Philippines. Our unique approach is rooted in creating an employee-centric experience that fosters a simple, low-pressure environment for our developers. This philosophy not only enhances productivity but also delivers unparalleled value to our clients, fostering a cycle of growth and talent attraction.


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