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Data engineering & analytics

Data you can rely on.

We build the pipelines, warehouses and dashboards that turn scattered data into one trusted source for decisions and AI.

In short

Data engineering collects data from your systems, cleans and models it in a warehouse, and serves it to dashboards and AI. We build ETL and ELT pipelines, data warehouses, reporting dashboards and real-time streams, with testing and monitoring so the numbers can be trusted.

Live example

One source of truth.

A sample analytics dashboard. Switch the tabs to explore.

sample data
Open deals
0
Won this month
0
Avg. cycle (days)
0
Deals created per week
What you get

Built to hold up.

Pipelines and ETL

Batch and streaming pipelines from apps, APIs, files and databases.

Warehouses and modelling

BigQuery, Snowflake, Postgres and dbt models with clear definitions.

Dashboards and BI

Metabase, Looker Studio, Power BI or custom dashboards tailored to each team.

Quality and monitoring

Automated tests and alerts so broken data is caught before decisions are made.

Technologies we use here
PythonSQLdbtAirflowKafkaBigQuerySnowflakePostgreSQLMetabasePower BI
See every language and platform
FAQ

Questions we often get.

If you report across several systems, usually yes. For one system, a simpler setup may be enough. We recommend the lightest option.

Have something that should run itself?

Tell us what is slowing your team down. We will come back within one working day with an honest view on whether it is worth building and what it would take.