Hire vetted senior BigQuery engineers
24h
first response
72h
from brief to shortlist
1 in 7
clears our vetting
75/100
the pass mark
Hire senior BigQuery engineers through Mahala. Vetted specialists in warehouse design, cost governance, and streaming analytics on Google Cloud, matched to your stack in 72 hours. Every profile scored against our vetting protocol before it reaches your shortlist.
What a wrong BigQuery hire costs
A wrong BigQuery hire is the one whose query scans a petabyte because nobody partitioned the table, and the monthly bill arrives at ten times budget. In BigQuery, cost control is not an afterthought; it is the core engineering skill. Partitioning, clustering, slot reservations, and materialized views are the difference between a warehouse that scales and one that quietly bankrupts the analytics budget.
Anyone can write a BigQuery query. The question is whether they can design a warehouse that stays fast and affordable at scale: partition and cluster strategy, the choice between on-demand and flat-rate slots, streaming inserts with Storage Write API, and dbt models that do not re-scan the whole dataset on every run. That is what we score BigQuery engineers on.
What our BigQuery engineers deliver
01
BigQuery warehouse design: partitioning, clustering, and materialized views for query performance and cost control.
02
Streaming analytics with the Storage Write API, plus batch loads and scheduled queries.
03
Cost governance: slot reservations, on-demand versus flat-rate decisions, and per-team cost attribution.
04
dbt on BigQuery, BI Engine acceleration, and migration from on-prem warehouses without breaking downstream reports.
How to recognise a
strong BigQuery engineer
- They talk about cost before you ask: partitioning, clustering, and slot reservations are their first instinct, not an afterthought.
- They can explain when flat-rate slots beat on-demand pricing for your query pattern, with numbers.
- They design dbt models that materialise incrementally instead of re-scanning the full dataset on every run.
How an
engagement runs
- Brief us: role, stack, project phase, timeline, access model (VDI).
- We match from our two-layer vetted bench.
- Two or three blind CVs within 72 hours of a clear brief.
- Interview the finalists, choose the best fit.
- Mahala handles contracting, screening where required, and onboarding. One contract, one monthly invoice.
NDA on request. If your brief involves sensitive detail about the project, the team, or the IP, we offer a preliminary NDA as a service. Not required to receive a shortlist.
Representative
profile
Senior Data Engineer, nine years across retail and financial services. Rebuilt the BigQuery warehouse for a GCC retail group: cut query costs 60% through partitioning, clustering, and slot reservations, and moved reporting from overnight batch to near-real-time with the Storage Write API. Strong on BigQuery, dbt, Dataflow, Looker, and Terraform. Available remotely across Europe and the GCC, contracted via Mahala.ai. Vetted at 89/100.
Related
questions
How do you control BigQuery costs?
Our BigQuery engineers design for cost from day one: partitioned and clustered tables, materialized views for repeated queries, slot reservations where volume justifies flat-rate pricing, and per-team cost attribution so runaway queries are caught before the bill arrives. Cost governance is part of the vetting bar, not an add-on.
Can they run dbt on BigQuery?
Yes. Most of our BigQuery placements build and maintain dbt models: incremental materializations that do not re-scan the full dataset, tested transformations, and documented lineage. dbt-on-BigQuery is a core competency we assess.
Do they handle streaming and real-time analytics?
Yes. Streaming inserts with the Storage Write API, Dataflow pipelines, and scheduled queries for near-real-time reporting. We confirm the latency requirement in the brief.
Can they migrate an on-prem warehouse to BigQuery?
Yes. Migration from Teradata, Oracle, or on-prem Hadoop to BigQuery without breaking downstream reports is a common engagement. We match specialists with documented migration delivery.
Do they work in regulated environments such as VDI or Citrix?
Yes. Most of our enterprise placements operate in regulated remote environments. We confirm access requirements in the brief.
How is it priced?
Senior delivery is priced on a day or hourly rate, depending on the engagement model. We share rate ranges during the first call.