A warehouse you own
Postgres, BigQuery or Snowflake in your own cloud account, with schemas documented and access controlled per role.
Data Engineering
Move your data once, correctly, and stop rebuilding it.
We design the warehouse, write the pipelines that fill it, and leave behind tests that tell you when a number is wrong before your board does.
What you get
Pipelines with owners
Airflow DAGs and dbt models in your repository, with retries, alerting and a runbook for the failures that will happen.
Tests and lineage
Freshness, uniqueness and referential tests on every model, and a lineage graph that shows which report a change breaks.
Streaming where it earns it
Kafka or managed equivalents only when the decision genuinely cannot wait for the next batch. Otherwise we keep it simple.
A cost model
What the platform costs per month at today's volume and at three times it, written down before you commit to the architecture.
Handover, not lock-in
Documentation and a walkthrough so your team can extend the platform without calling us. Standard tools, no proprietary layer.
Stack we use
Postgres · BigQuery · Snowflake · dbt · Airflow · Dagster · Kafka · Spark · Fivetran · Terraform · AWS · GCP
Engagement shapes
How this work is usually bought
Platform build
Fixed scope, milestone billing, ends in handover.
Embedded data engineer
Monthly, inside your repo and your standups.
Pipeline retainer
We own the on-call for what we built.
Send us your current data flow
Even a hand-drawn diagram is enough to start. We will come back with the two or three decisions that matter most.
or email hello@siyon.co.nz