Hire vetted senior Data Engineers
24h
first response
72h
from brief to shortlist
1 in 7
clears our vetting
75/100
the pass mark
Get 2 to 3 curated, vetted senior Data Engineers within 72 hours. Production-grade, enterprise-proven, remote. Request your shortlist.
Hire senior data engineers, vetted for production delivery, in 72 hours. Mahala matches enterprise teams with senior Data Engineers who have already built and operated the production systems your business depends on. Two layers of rigorous, evidence-based vetting before any profile reaches your shortlist.
What we deliver
01
Build and operate production data pipelines, real-time streaming, and lakehouse architectures.
02
Design platform reliability for high-volume, regulated environments.
03
Migrate legacy ETL and orchestration stacks to modern, observable platforms.
04
Bring delivery rigor across observability, cost, and governance.
When teams hire
through Mahala
Open marketplaces don't produce this profile. Curated networks do. Every Data Engineer in our network has been scored on real delivery evidence, not keywords, and assessed for the consulting capability that lets them be useful from week one.
How an
engagement runs
- Brief us. Role, stack, project phase, timeline, access model.
- We sign a preliminary NDA before sharing any profiles.
- Receive 2 to 3 anonymised senior profiles within 72 hours.
- Interview the finalists, choose the best fit, and we handle onboarding.
Representative
profile
Senior Data Engineer, eight years across French enterprise clients: national rail, tier-one banking, energy. Built and runs the real-time punctuality data warehouse (Azure, Databricks, Spark, Airflow). At a tier-one bank, built the regulatory credit-risk engine that cut a multi-day manual process to under one hour. Vetted at 85/100.
Related
questions
What can a senior Data Engineer from Mahala do for my team?
Build and operate production pipelines, real-time streaming, lakehouse and warehouse architectures, and the platform-reliability work that high-volume regulated environments depend on.
How fast can a Data Engineer start?
Shortlist in 72 hours. Onboarding through Mahala.ai B.V. typically takes a further five working days. Most placements are working in your environment within two weeks of brief.
How do you vet senior Data Engineers?
Two layers of institutional-grade assessment, scored on evidence. Technical depth and delivery evidence in layer one; consulting capability and compliance readiness in layer two.
Do they work in remote-access environments such as VDI or Citrix?
Yes. Standard for our placements. Operational discipline in regulated remote environments is part of the vetting bar.
How do rates work?
Senior delivery is priced on a day or hourly rate, depending on the engagement model. We share rate ranges during the first call.