Specialist data talent · Mining & Energy

Senior data specialists, selected by people who have done the work.

Black Ocean places senior contract data, analytics and AI specialists into mining, energy and infrastructure operations across Western Australia. Every candidate is technically assessed by a practitioner with 15+ years in enterprise data.

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2–3
candidates on a shortlist, never CV volume
30/60/90
structured check-ins on every placement
4 weeks
replacement commitment
The gap

Two default options, neither built for this.

Generalist recruiters

Selection by keyword, not capability. A recruiter who has never built a data platform cannot tell a senior engineer from a confident CV - so you get volume instead of judgement.

Consultancies

Strong teams, expensive delivery models. Brand, management layers and delivery overhead are priced into every day - more structure than one senior seat needs.

Black Ocean

The space between the two: practitioner-led selection on a flexible contractor model. Specialists assessed by someone who has delivered the same work - without the overhead or the guesswork.

The offshore correction
Critical data work is coming back onshore.

After a decade of offshore experiments, operators are re-onshoring the data work their decisions depend on. Time-zone lag, churn and rework on core models cost more than the rate card saved. The correction is not more bodies - it is a small number of vetted seniors, close to the operation.

Roles placed

Five roles. Senior only.

All roles
01
Senior Microsoft Fabric & Power BI Specialist

Semantic models, DAX at scale and capacity governance - reporting estates that hold up under enterprise load.

Role detail
02
Senior Analytics Engineer

Modelled, tested, version-controlled transformation layers - one defensible model behind every report.

Role detail
03
Senior Data Engineer

Pipelines, orchestration and platform engineering across Azure, Databricks and Fabric.

Role detail
04
Senior BI & Analytics Lead

Runs the reporting estate: standards, governance and delivery across teams and sites.

Role detail
05
Data & Platform Architect

Platform architecture, integration patterns and roadmaps that survive contact with production.

Role detail
Also placed
SAP PM & Operational Data Specialist
Data Governance & Data Quality Lead
Production AI/ML Engineer
Held to the same assessment bar.
How it works

Brief to placed specialist, in four moves.

The full nine-step process
01
Brief

A short call on the role, the estate and the team it lands in. We qualify before we search - and say so if it is not a role we should fill.

02
Assess

Curated search, then technical and commercial assessment run personally by the founder. Architecture, code and decisions - not keywords.

03
Shortlist

Two or three candidates who clear the bar, each with the assessment notes behind them. You interview; we handle terms.

04
Place and check in

Onboarding and payroll through an established national provider, structured 30/60/90-day check-ins, and a 4-week replacement commitment.

The standard

The shortlist is the product.

Deliberately small, personally assessed, and backed after the start date. Nobody reaches a client meeting without clearing a working technical session with the founder first.

Every placement
Every specialist personally assessed by the founder before a client meets them
Shortlists of 2-3 - never CV volume
Structured 30/60/90-day check-ins
Escalation direct to the founder
4-week replacement commitment
Selective advisory

Black Ocean also takes a small number of direct advisory and executive reporting engagements where practitioner depth matters. Same standard, same person - deliberately few.

About the practice

Brief us on the role.

Send the brief today. Meet a shortlist of two or three - not a stack of CVs.

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