We build data platforms your engineers can trust, and teach your team to run them.
Qualixto is an independent consultancy for hands-on cloud data platform engineering. We architect and personally build production pipelines, data products and governance frameworks for regulated financial services and investment management, then mentor the engineers who take them forward. No slideware, just working systems and the people who can own them.
- Platform architecture: lakehouse and orchestration platforms on AWS, Azure or GCP, built to be handed over.
- Hands-on pipeline delivery: production dbt models and Python pipelines with contracts, lineage and automated testing.
- Governance & compliance: data contracts, RBAC, classification and audit-ready governance for regulated environments.
- CI/CD & platform hygiene: release process modernisation, pre-commit standards and branch protection across multi-repo estates.
- AI-ready foundations: well-modelled, governed data for LLM and analytics workloads to sit on.
- Mentoring & team building: pairing, code review and the delivery standards a team needs to own what we build together.
| Repository | What it is |
|---|---|
| data-platform-starter | A runnable baseline data platform: dlt, DuckDB/MotherDuck, dbt and Dagster, with data contracts, quality gates and CI. |
| python-template | Copier template for production-ready Python projects: uv, ruff, mypy, pytest, pre-commit and CI from the first commit. |
| ways-of-working | How we build: principles, the six pillars of engineering excellence, a maturity model and practical standards. |
Python · dbt · Dagster · Airflow · dlt · DuckDB · Snowflake · Databricks · AWS · Azure · GCP · Terraform · GitHub Actions