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Data Engineering & Operations

The data and the infrastructure your AI runs on.

AI is only as good as the data it reads and the platform it runs on. We build the pipelines that deliver clean, current data, and we define your infrastructure as code, so it can be reviewed, repeated and operated without surprises.

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When you need it

This is for you if

  • Your data sits in many systems, and every report or model starts with someone collecting it by hand.
  • Pipelines fail without anyone noticing, and nobody is sure which numbers to trust.
  • Your infrastructure was set up by hand in a cloud console, and nobody could rebuild it.
  • Releases are slow and risky because every environment is a little different.

What you get

What we deliver

Data pipelines you can trust
Ingestion, transformation and quality checks, with tests and an alert when something breaks.
Infrastructure as code
Your cloud defined in Terraform and configured with Ansible, in your repository, reviewed like any other change.
Automated delivery
CI/CD pipelines that test every change and release it the same way to every environment.
Monitoring and runbooks
Dashboards, alerts and written procedures, so your team can operate the platform without us.

How it runs

From first step to handover

  1. 01

    Review what exists

    We map your data sources, your pipelines and your infrastructure, and list what is at risk.

  2. 02

    Fix one thing first

    We start with the pipeline or the environment that causes the most trouble.

  3. 03

    Put it in code

    Pipelines and infrastructure go into your repository, with tests and reviews.

  4. 04

    Operate and hand over

    We run it with your team until they are comfortable, or we stay and operate it.

Typical uses

Where it helps

Data platform

A warehouse or lakehouse with clear layers from raw to ready for use, on the platform you choose.

Data for AI

Clean, documented and current data for the agents and AI systems that depend on it.

Cloud foundation

Networks, access and environments defined in Terraform, and reproducible from an empty account.

Migration and clean-up

Move hand-built servers and scripts into code, or move from one platform to another without losing data.

Tools

Best of breed, fitted to your stack

For each job we use the tool that is the standard in its category. If you already run one of them, we build on it and do not replace it.

Data engineering

Ingestion
Airbyte, Fivetran, Kafka, Debezium
Orchestration
Apache Airflow, Dagster
Transformation
dbt, Apache Spark
Platform
Databricks, Snowflake, BigQuery, PostgreSQL
Table formats
Delta Lake, Apache Iceberg
Data quality
dbt tests, Great Expectations

Operations

Infrastructure as code
Terraform, OpenTofu, Terragrunt
Configuration
Ansible, Packer
Containers
Docker, Kubernetes, Helm
CI/CD and GitOps
GitHub Actions, GitLab CI, Argo CD
Observability
Prometheus, Grafana, OpenTelemetry
Secrets and scanning
HashiCorp Vault, cloud secret managers, Checkov, Trivy
Cloud
AWS, Azure and Google Cloud, in your account

Tools are chosen per engagement. The cloud and the platform we use are the ones you already run.

Use case

In practice

Data Engineering & Operations

Logistics company, EU

Example

A data platform defined in code

Reports are built from manual exports, and the cloud was set up by hand. We put the infrastructure into Terraform and Ansible, build tested pipelines on top of it and hand over a platform the client’s team can run.

Read the use case

Other services

The other ways we work

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