Data is scattered across systems, spreadsheets and people's heads
The information exists, but getting a complete answer means piecing it together every time.
Build your company's future on data you can trust
We build the data systems behind faster reporting, automated processes and better decisions, from the first platform to the systems your company already relies on.
We work with companies that have outgrown the way they use data today.
The same question gets different answers
Reports disagree, definitions drift and too much time goes into checking the numbers instead of using them.
AI is burning tokens, not creating value
Buying access to a model is easy. Giving it the right data, context and place in a real workflow is where the value starts.
You need a technical partner who understands your business
The technology has to fit the way your company actually operates.
See industries we work withWe help your data find its inner peace, so your team spends less time reconciling reports, chasing broken pipelines and questioning every number.
Where data should work harder for the business.
Reporting takes too much work
Bring data together so recurring reports no longer depend on exports, spreadsheets and manual checks.
SQL Server
reporting.xlsxreporting-final.xlsxreporting-use-this.xlsx
Example engagements.
A closer look at the problems, decisions and systems behind the work.
You don't need big data to make data-driven decisions
How Northgrain connected contracts, costs, team time and content performance in one practical data platform.
Read the article
Why we built dbt-doctor
How recurring dbt project findings became an offline health check that engineers and stakeholders can both understand.
Read the articleClear responsibility. Clear budget.
A defined outcome should have a defined commercial shape. You know who is doing the work, what is included and where the budget stops.
Fixed scope. Agreed before build.
For defined projects, agree the outcome and boundaries before implementation starts. If the agreed scope does not change, neither does the engagement.
Flexible work with a budget ceiling.
For advisory or recurring capacity, agree the rate, expected capacity and maximum budget in advance. We do not exceed that budget without approval.
We build, not just recommend.
When implementation is part of the engagement, we stay through implementation, validation and handover.
Your systems stay yours.
We work in your environment wherever practical. Code, implementation and operating context stay with your company.
The people you meet do the work.
You work directly with the people responsible for delivering the work.
Built around the systems you already rely on.
dbt, Snowflake, Airflow, Python, AWS and Google Cloud. Hands-on delivery in production stacks, not advisory-only.
Choose the engagement that fits the problem.
Data Platform Audit
Something is not working in reporting or operations, but the actual problem and right next move are still unclear.
- Duration
- 5–10 working days
- Investment
- Complimentary for selected companies
Data Engineering Sprint
One meaningful data initiative can be defined and delivered.
For example: a complete first data platform, from ingestion and transformation through to BI.
- Duration
- 3–6 weeks
Embedded Data Engineering
Important data work needs recurring engineering capacity.
- Duration
- Typically 3+ months
Already know where you need help?
Work with us on a specific part of your data stack.
dbt Consulting
Make models safer to change through clearer structure, testing and delivery standards.
Explore this service →
Snowflake Consulting
Improve cost, performance and architecture inside your existing Snowflake account.
Explore this service →
Data Warehouse Consulting
Plan, build or modernize the shared data layer behind reporting and analytics.
Explore this service →
Not sure what to fix first?
Answer a few questions about what is getting in the way. We'll point you toward the most useful next step before you need to share project details.
Find the right next stepOr discuss the project directlySmall team. Direct access.
Northgrain is a founder-led data engineering consultancy.
Registered partners
Founder and Principal Data Engineer
Joachim Hodana
Leads architecture and hands-on delivery across pipelines, dbt, warehouses, testing and handover.
FAQ
Practical answers before the first call.
What should work better?
Tell us what needs to work, what is getting in the way, and what outcome matters.
Not sure where to start? Use the guided diagnostic.