Dedicated data engineers for your offshore team.
Offshore data engineers in Chiang Mai and Bangkok, working full time on your roadmap and managed by us. A data engineer builds the pipelines that move data to where it can be used, and keeps them running when upstream systems change.
One agreement and one fixed monthly fee, with a service delivery manager in Thailand who runs your team day to day.
This role is part of a dedicated data engineering team. It's staff augmentation, fully managed: take one role on its own, or the whole discipline as one delivery team.
One Data Engineer, assigned to your product and fully managed.
We assign a Data Engineer to your team full time and run everything around them: a service delivery manager who answers for the work, training and coaching, the office and equipment, and HR and payroll. The price below is for a mid-level Data Engineer; junior and senior levels are priced in your proposal, and how the monthly fee is built explains the arithmetic.
From price
One mid-level Data Engineer, full time, everything below included. All 27 things included ››
- Data engineer From USD 3,900 per month
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Service
We manage and develop the team
- A service delivery manager who runs the team and answers for delivery
- A 1:1 with our Head of Delivery every two weeks
- Weekly delivery scoring and monthly capacity reports
- A Talent Success Manager for every specialist
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HR
We are the employer
- Recruitment and technical assessment
- Employment contracts
- Salary and payroll
- Tax and social security
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Facilitation
We provide the workplace
- A desk in our own office in Chiang Mai or Bangkok
- A Workplace Experience Manager on site
- Team events through the year
- IT support
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Equipment
We supply the tools
- Laptop and hardware
- Software licences
- LinkedIn Learning access
- Device security and management
What a Data Engineer does on a managed data engineering team.
They work in your cloud account and your warehouse, take requests from your analysts and product team, and own the loads they build once they ship.
Data Engineer skills and technologies
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Building batch and streaming pipelines from source systems into your warehouse.
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Data quality testing and alerting, so a broken load surfaces before a report does.
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Pipeline maintenance as schemas change upstream, which is most of the ongoing work.
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Backfilling historical data when a pipeline changes shape, without double-counting.
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Managing schema evolution so a downstream model does not break silently on a new column.
Data Engineer seniority levels.
Mid-level to senior. Pipeline design choices show their effects months later, which makes experience valuable. Seniority is one of the inputs into how the monthly fee is built.
When your team needs a Data Engineer.
The core data role, and usually the first one a team adds. Often joined by an analytics engineer or ETL developer. Data engineers join as part of a managed data team.
What we look for in a dedicated Data Engineer.
We look for data engineers who test data the way good developers test code. They should design pipelines that can be rerun safely, understand the warehouse cost of a careless query, and notice when a source quietly changes shape.
Your remote Data Engineer's first three months.
- Weeks 1 to 2Mapping your sources, pipelines and warehouse, and fixing the most fragile loads.
- Weeks 3 to 6Adding data quality tests and alerting, and building the next pipelines on your roadmap.
- Months 2 to 3Owning the pipeline estate, including schema changes and backfills.
Questions about adding a Data Engineer to your team.
Can you take over pipelines someone else built?
Yes, that's the usual starting point. The engineer we assign to you maps and documents what runs before improving it.
Batch or streaming?
Batch, unless there is a real-time need. Nightly batch is simpler and cheaper for most reporting.
Add remote data engineers to your team.
Tell us your roadmap and your stack, and we'll come back with the right profile, the capacity and a start date. You can also talk to a service delivery manager first.
Add data engineers to your remote team.
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