We turn messy data into infrastructure that works
Datacodd is a data engineering consultancy that builds pipelines, cloud data platforms, and dashboards for startups and scale-ups — so your team can focus on the decisions, not the plumbing.
What we deliver
- Production-ready data pipelines from day one
- Cloud data warehouse setup and optimisation
- Self-serve BI dashboards your team will actually use
- Async-first with full documentation and handoff
What we build for your team
We cover the full data lifecycle — from raw ingestion to the dashboards your stakeholders check every morning.
Data Pipeline Development
We design and build reliable data pipelines that move, clean, and deliver your data on schedule — so your team always has accurate, fresh information to work with.
- Batch and scheduled ingestion workflows
- Apache Airflow orchestration
- dbt data transformation and modelling
- Data quality checks and alerting
- Full documentation and runbooks
Data Warehouse & Cloud Setup
We help you pick the right cloud data warehouse and set it up properly from the start — structured, cost-efficient, and ready to scale with your business.
- BigQuery, Snowflake, or Redshift setup
- Schema design and data modelling
- Cost monitoring and query optimisation
- Role-based access and data governance
- Migration from spreadsheets or legacy systems
Analytics & Reporting
We turn raw data into dashboards and reports that non-technical teams can actually use — reducing your reliance on engineers for every business question.
- Power BI, Looker, and Metabase dashboards
- KPI definition and metric modelling
- Scheduled automated reports
- Self-serve analytics enablement
- Stakeholder training and documentation
Not sure which service you need?
Book a free 30-minute call. We'll review your current setup and tell you exactly where to start.
The kind of problems we solve
These scenarios illustrate the types of data challenges we tackle and how we approach them. Every engagement is scoped around your specific stack and goals.
These are representative examples based on real project types. Company names and specific figures have been anonymised.
From Spreadsheets to a Live Revenue Dashboard
The team was reconciling sales data manually across Shopify and Google Ads every Monday morning. Reports took half a day and were always slightly out of date.
We built a Fivetran + Airflow ingestion pipeline into BigQuery, modelled the data with dbt, and delivered a Power BI dashboard that refreshes every 4 hours automatically.
Tools we work with
We stay pragmatic — using the right tool for the job rather than recommending the most complex one.
A small team that takes data seriously
Datacodd is a boutique data engineering consultancy. We work with startups and growing companies that need solid data infrastructure but aren't ready — or don't need — to hire a full in-house data team.
We focus on three things: building reliable pipelines, setting up cloud data warehouses properly, and creating dashboards that people actually use. Nothing more, nothing less.
We work fully remote, operate async-first, and are available to clients worldwide.
- Hands-on data engineering background in e-commerce and D2C
- Remote-first · Based in Australia · Working with global clients
- Available for projects in APAC, Europe, and the Americas
- Async communication with weekly check-ins by default
How we work
We keep it simple
We don't recommend complex solutions when simple ones will do the job. A well-built Airflow pipeline and clean dbt models will take most companies very far.
We document everything
Every engagement ends with clean code, README files, and runbooks. You should never be stuck because the person who built something isn't around.
We communicate clearly
No jargon, no vague updates. You'll always know exactly where your project stands, what's next, and if something is going to take longer than planned.
Let's talk about your data
Book a free 30-minute consultation or send us a message. We'll get back to you within one business day.
We reply to every inquiry on the same or next business day. Include your timezone so we can schedule around you.