Remote-first · European timezones · Senior engineers only

We build the pipelines
your dashboards deserve.

SPARSIM designs, builds, and operates analytics infrastructure — from event streams to the dashboard your CFO checks before coffee. Fixed-scope sprints, code in your repos from week one.

Tell us where it hurtsSee how we work
Scroll down — part of this page runs on our own pipeline ↓

Tools we run in production — not logos we license

PostgreSQL
Apache Spark
Apache Kafka
ClickHouse
dbt
Apache Airflow
Kubernetes
Snowflake
BigQuery
Grafana
Terraform
Python
Apache Flink
Metabase
First reply
≤ 1 business day

from an engineer, not a sales sequence

First working increment
0 weeks

running code in your repo, or fire us

Senior engineers
0%

zero subcontracted seats

Design headroom
0+ TB/day

the scale class we engineer pipelines for

Services

What we do, precisely.

Six ways engagements start. All of them end the same way: working software in your repositories.

Process

Four phases. Named outputs. No black boxes.

Click through the phases — each one ends with something you keep.

Discover

“We read your schemas before we make promises”

1–2 weeks · fixed price

Model

“The smallest architecture that carries the load”

inside sprint one

Ship

“Working pipelines in your repo, your cloud, your CI”

2–6 week sprints

Operate

“We keep the pager, or we hand it over properly”

optional retainer

The full process, engagement models, and security promises

This section is not a mock-up.

The counter and chart below are served live by the same stack we deploy for clients — this page keeps a websocket open to a self-hosted Convex backend running on our Kubernetes cluster. Reload-free, no polling, no mock JSON.

Engagement

Small commitments, in order.

Three shapes of working together. Prices are fixed per scope and shared on the first call — before any commitment.

Diagnostic Sprint

1–2 weeks · fixed price

Audit, roadmap, and quick wins. Ends with code and a plan — not just a report.

  • Read-only access audit of your stack

  • Ranked findings with effort estimates

  • Quick wins applied during the sprint

  • Fixed-price proposal for the first build increment

Start with a diagnostic

Build Sprints

2–6 weeks each · fixed scope

Fixed-scope increments with weekly demos. Cancel between sprints; keep all artifacts.

  • Working software demoed every week

  • Code, IaC, and docs land in your repos

  • Scope changes go through the SOW, not the invoice

  • Exit whenever a sprint ends — no lock-in

Scope a build sprint

Run & Improve

monthly retainer

SLOs, on-call, continuous improvement, and a quarterly cost review for platforms we built — or ones we rescued.

  • Defined SLOs with real alerting

  • On-call by engineers who know the system

  • Quarterly cost and architecture review

  • Handover option always on the table

Discuss a retainer

Want the details — exit terms, IP, cadence? Compare the models

Buyer questions

Yours first. We're fluent across Spark, Kafka, ClickHouse, dbt, Airflow, the major clouds, and plenty of less fashionable tooling. We only recommend replacing something when we can show the migration path, the cost, and the payoff — in writing, as an architecture decision record you keep.

In your accounts, full stop. We work inside your cloud under least-privilege, time-boxed access. Nothing is copied to our machines, our tenants, or anyone's laptop. At the end of an engagement you get an offboarding checklist and a receipt showing every access revoked.

An intro call, an NDA if you want one, then either a short fixed-price diagnostic or straight into a scoped build sprint. You'll have a written proposal with a price shortly after the first call — typically within two business days. No discovery retainers, no open-ended hourly meters.

Fixed price per scoped increment, or a monthly rate for an embedded team — ranges are shared on the first call, before any commitment. We don't do percent-of-savings games, and since we don't resell licenses, our recommendations aren't commissioned.

You do, from day one. Everything we build lands in your repositories under your organization. Anything we bring with us — libraries, templates, tooling — is listed and licensed explicitly in the statement of work. There is no hostage handover at the end.

Often that's exactly the job. We start with a read-only audit, stabilize what works, and replace what doesn't — incrementally, with rollbacks planned. You won't hear that everything must be rewritten; you'll hear what to keep, what to fix, and in which order.

No. We embed as a small senior team with our own delivery discipline: weekly demos, written changelogs, named outputs per phase. If what you need is ten interchangeable seats on a rate card, we're the wrong call — and we'll say so on the first conversation.

Then we'll tell you, and set up Postgres properly instead of selling you a lakehouse. Most companies need boring, well-run infrastructure more than they need new logos in the architecture diagram. Small data done right beats big data done vaguely.

Your dashboards deserve better plumbing.

One form, one reply from an engineer, one scoped proposal. No sales sequence.

Start the conversation