Senior data engineers who re-architect ingestion, modeling, and orchestration in place - deep on Databricks and Snowflake, on AWS or Azure, without taking your daily reporting offline. Named on the contract, reviewed by an Inpro lead.
Concrete starting points, each with the team we field, the stack, and what lands in the first 30 days.
Plain, usable outputs your team can review, run, and maintain after handover.
Source systems, dependencies, target architecture, rollout order, and the decision points your team needs to approve.
Tested ingestion and transformation jobs delivered in your repositories with clear ownership.
Freshness, schema, and anomaly checks surfaced where your team can monitor them.
Runbooks, model conventions, ownership notes, and maintenance guidance for your internal team.
Each phase leaves a usable asset behind, so the platform improves while the work is still moving.
We map sources, consumers, and the metric you'd measure success against.
Modeling, warehouse selection, data contracts, and a governance plan.
Incremental migration with parallel runs. Something ships every two weeks.
Runbooks, dbt conventions, lineage docs. Your team owns it, we stay reachable.
A snapshot. You interview the actual people before anyone joins your team.
ArbenData engineer
EliraAnalytics engineerTell us the stack and the timeline. Within 5 business days you get 2-4 named engineers with CVs and rates from 290 - 420€/day, to interview yourself.