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
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
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:Â 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
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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
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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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