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Hire an offshore data engineer in the Philippines
Give your data a dependable path from source systems to reporting. Explore offshore professionals with relevant warehouse and pipeline experience, discuss your data stack and release process, then agree the employment cost and terms before hiring.
From USD$2,200 a monthA$3,160 · NZ$3,930 · full-time, before tax
- Works with your tools
- dbt, Snowflake, BigQuery, Airflow, Python, Git
- Works with your team
- Your business hours, NZ, AU or US time
Trusted by teams at
About the role.
What does an offshore data engineer do?
A data engineer moves data from your source systems into a warehouse in a form your analysts can use.
Build and maintain pipelines that load data from your systems into a warehouse
Model and transform data with dbt and SQL
Schedule and monitor jobs in Airflow or a similar orchestrator
Write Python for ingestion, cleaning and API connections
Add data quality tests and alerts for late or failing loads
Document tables, lineage and how to rerun a failed job
Which tools do they use?
Typical tools include dbt, Snowflake or BigQuery, Airflow, Python and Git. Each profile lists the software that person has used, so you can pick someone who already knows yours.
See what your next
hire could save.
Compare the local annual salary with our full-time starting price. Choose your market and team size to see the difference.
Your roleData Engineer
Compare with a local hire in
Full-time people
Local salary estimate
NZ$115,000
NZD a year · NZ$9,583 a month
Data Engineer · New Zealand
Ramp Remote from
NZ$47,160
NZD a year · NZ$3,930 a month
Full-time Philippines hire · before tax · 41% of the local cost
Potential annual savingsNZ$67,840
58% below the local salary estimate.
1 full-time person · your quote confirms the total.
Comparison uses the local salary estimate published by Ramp Remote and this role’s starting service price. The figures have different inclusions. Experience, benefits, taxes and one-off costs may vary. Your quote confirms the total.
What changed for a client
40%
“During a period of rapid growth, [Ramp Remote] gave us access to talent we couldn’t find on our own. They guided each hiring manager through the process, helping us secure the right people with the right skillsets—perfectly matched to our culture. This has significantly reduced the cost of our delivery and back office by upwards of 40%.”
Paul PrichardGroup CEO, Overdose DigitalFind the right person for the work.
What good looks like
Agree which sources and tables matter first and how freshness is measured. Useful measures include jobs that run to schedule, data quality tests that pass and documentation another engineer could follow.
Define who approves schema changes, who reviews pull requests and how failures are reported.
Assess the right fit
Our catalogue candidates are reviewed and interviewed by our team.
Discuss experience with your warehouse, orchestration tool and source systems. Ask the candidate to explain how they handle a late or duplicated load, design an incremental model and make a pipeline safe to rerun.
Agree a short technical exercise with our team, using a sample repository or sample data, and ask for a walkthrough of past work. Give least-privilege warehouse and cloud access, restrict sensitive columns unless the role needs them, and make sure production changes follow your review process.
Your next data engineer could change your day.
More capacity for your business. More time for the work that needs you. Tell us who you need and we’ll help you find the right fit.
Let’s find your personStart with a conversation. Agree the full quote and terms before you hire.
From your brief to their first day.
Meet the person. Understand the cost. Start with a plan you’ve agreed together.
Tell us what you need
Share the work, experience and hours you need. You can start with a role enquiry or discuss someone you have seen in the catalogue.
Meet your shortlist
Review suitable people, discuss relevant experience and interview the candidates you want to consider. Agree any role-specific assessment with us.
Agree the hire and get started
Review the full quote, service terms and working arrangements before committing. Then plan access, handover and onboarding together.
How do I fill my Data Engineer role in the Philippines?
Start with a brief for your Data Engineer role: the responsibilities they will own, the systems they will use and the working hours you need to overlap with your team in New Zealand or Australia. Meet candidates against that brief and agree the total monthly cost before choosing a start date.
With Ramp Remote, we employ and support your person in the Philippines. You provide the business context, set priorities and review their work. Start with one clear responsibility and a named manager, then expand the role as the handover takes hold.
Before you hire.
What the monthly price includesThe starting price is a guide for a full-time hire in the Philippines. Your quote confirms the total for your chosen person, agreed hours and service arrangements.
- Experience and scope: specialist skills, seniority and the responsibilities you need affect the price.
- Hours and coverage: agree the working week, time-zone overlap and any evening or weekend needs.
- What is included: ask for the breakdown of employment costs, our service, equipment and any one-off charges, with currency and applicable taxes stated.
We confirm these details before you commit. The starting price is not a fixed quote for every candidate.
Timing depends on the brief, candidate availability, interviews and any notice period. We will agree the next update and a target start date with you once those details are clear. If the right person is not currently available, we can recruit to your brief.
- Set the access: agree warehouse roles, a development schema, repository permissions and the review process, with production access held back.
- Handover one pipeline: walk through an existing source-to-report path, then build a small model or test on sample data.
- Review the first release: check the pull request, data tests and documentation with your team lead, then agree the pipeline priorities.
You can discuss a role without committing to a hire. Before proceeding, review your written quote and agreement for payment timing, currency and taxes, notice requirements, the support included and what happens if the hire is not the right fit.
We will confirm replacement arrangements and any conditions in your agreement before you proceed.
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