Dedicated data engineering team.
Data engineers for pipelines, modelling and data quality, headhunted for your stack and assigned to you full time. You set the priorities. We employ, train and run the team from our own offices in Thailand.
What you get and what you pay.
With offshore staffing or staff augmentation, the provider finds a developer and the managing is left to you. We do it as a full service. The data engineers are ours: we employ them, assign them to you full time, give them an office and equipment, train and coach them, and run delivery with you every week.
Price examples
Mid-level, full time, everything below included. Junior and senior levels are priced in your proposal. All 27 things included ››
- Data engineer From USD 3,900 per month
- Analytics engineer From USD 3,900 per month
- ETL developer From USD 3,900 per month
-
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
-
HR
We are the employer
- Recruitment and technical assessment
- Employment contracts
- Salary and payroll
- Tax and social security
-
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
-
Equipment
We supply the tools
- Laptop and hardware
- Software licences
- LinkedIn Learning access
- Device security and management
One monthly fee. Everything around the data engineer is in it.
You agree a monthly capacity in hours with us. The fee covers the data engineer's salary and every layer around it: the service delivery manager who runs the team, training and development, the workplace, the equipment and the HR behind the employment. It is the same amount every month.
- One agreement and one invoice, with no setup fee or management surcharge
- Holidays are already priced in, so April and May cost the same
- Capacity moves up or down at the next monthly cycle
Tailored teams down to every detail.
We make sure your team is 100% tailored to your needs and expectations. We headhunt data engineers when needed, so we deliver high-performing teams.
- Roles and seniority
- Stack and domain
- Way of working
- Capacity and start date
Talk to our teamBook a scoping call - 25 Week 1 Sourcing Headhunted for your brief
- 12 Week 2 AI processing and screening Matched to your stack
- 5 Week 3 Technical testing Pass technical testing
- 1 Week 4 Mindset, culture and logic Proposed to you
Any role your roadmap needs.
These four are the data engineering roles with their own pages. Beyond them we assign specialists across ten disciplines, on the same agreement and with the same service delivery manager.
Try us, at zero risk.
- No deposit
- No upfront fee
- No commitment
We agree a time to hire with you. If we can't find the right people for your team within it, you walk away with no commitment and nothing to pay.
Get in touch"We don't hand you a data engineer and step back. We build the team around your product, and we stay in it every week."
Mikkel Schmidt, CEO and founder
Questions about a dedicated data engineering team.
Is this managed database hosting?
No. Our dedicated data engineers do the work inside your cloud account, which stays yours.
Do we manage the data engineers ourselves?
No, we do. It's staff augmentation delivered as a managed service: our data engineers are assigned to your warehouse full time, and we employ, train and manage them. You decide what the business needs from the data.
How is this different from data analytics outsourcing?
Analytics outsourcing delivers answers to questions. Data engineering builds and runs the pipelines and models those answers depend on. Many partners have both in the same team.
Can you take over an existing warehouse?
Yes, that's the most common starting point.
Who owns the data and the code?
You do, entirely. Everything happens in your cloud account and your repositories.
Can data engineering be combined with data science?
Yes, under one agreement. The two often work best in the same team.
What does a dedicated data engineer own?
A pipeline that quietly drops two per cent of rows still produces a dashboard, and it can be weeks before anyone notices. A dedicated data engineer owns monitoring and quality checks, the parts that slip when data is someone's second job.
Analytics engineer or ETL developer?
When the warehouse model is the problem, an analytics engineer is usually the right fit. When it's volume and scheduling across many legacy sources, an ETL developer is.
Where does the work happen?
All work happens in your warehouse and your cloud account, with no extra layer of our tooling in between.
Can AI engineers join the same team?
When your pipelines feed AI features, companies often hire AI developers into the same team, on one committed monthly capacity.
Build the whole team around your data engineers.
Most partners add a second discipline within the first year. It joins the same agreement, the same sprints and the same service delivery manager.
Your data engineers Data engineer, analytics engineer, etl developer, database administrator. The core of the team. On the team 
Data science Analysis, models and evaluation Add to the team → 
AI engineering LLM features, retrieval and evaluation Add to the team → 
Cloud and DevOps Infrastructure as code, CI/CD, observability Add to the team → 
MLOps engineering Deploying and monitoring models in production Add to the team → Tell us what data engineering capacity your roadmap needs.
Thirty minutes with a service delivery manager. You leave with a clear picture of the team you would need, what it would deliver and when it could start.
- No deposit and no upfront fee
- No commitment until the right people are on your team
- If we can't find them inside the agreed window, you walk away at no cost
The people you would talk to. No slides, no sales script. Loading the form…
We reply within one working day.
