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Data Engineering & Analytics · Permanent & contract

Data engineering and analytics recruitment across Australia

We find the people who turn raw data into trusted decisions — engineers who build reliable pipelines, scientists who model what matters, and analysts who make it usable.

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In short

ALOIS recruits data engineering & analytics professionals across Australia — including Data Engineer, Analytics Engineer, Data Scientist and BI Developer roles — on permanent, contract and contract-to-permanent terms, with a typical qualified shortlist in 48–72 hours of a confirmed brief.

Typical shortlist
48–72h
Pre-screened talent pool
80k+
Engagement models
Perm + contract
National coverage
8 capitals
Market context

Why data engineering & analytics talent is hard to find

Data analysts and data scientists are listed among the top technology roles in demand across Australia and New Zealand.
Hays Salary Guide (ANZ) · IT Brief Australia, 30 Jun 2026
Data and analytics is named as a continuing shortage area for technology contractors.
Hays IT Contractor Rates Guide FY26/27 · IT Brief Australia, 6 Oct 2026
Typical roles we place

Data Engineering & Analytics roles we recruit

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  • 01

    Data Engineer

    Batch and streaming pipelines

  • 02

    Analytics Engineer

    dbt, modelling and semantic layers

  • 03

    Data Scientist

    Statistics, experimentation and ML

  • 04

    BI Developer

    Dashboards, data models and self-service BI

  • 05

    Data / BI Analyst

    Reporting, insight and stakeholder analysis

  • 06

    Data Architect

    Lakehouse, warehouse and governance design

  • 07

    Data Platform Engineer

    Platform reliability, security and cost

  • 08

    Data Governance Analyst

    Quality, lineage, privacy and catalogues

Tech stacks we cover

Platforms, tools and frameworks

We match on the exact combination you run — and verify hands-on experience, not just keywords.

Languages

  • Python
  • SQL
  • PySpark
  • Scala
  • R

Platforms

  • Databricks
  • Snowflake
  • Microsoft Fabric
  • BigQuery
  • Redshift
  • Synapse

Pipelines

  • dbt
  • Apache Airflow
  • Kafka
  • Azure Data Factory
  • AWS Glue
  • Fivetran

BI

  • Power BI
  • Tableau
  • Looker
  • Qlik

Cloud

  • AWS
  • Microsoft Azure
  • Google Cloud
Passive & niche talent

How we reach data engineering & analytics specialists others miss

  1. Stack-precise matching

    We match on the exact combination you run — for example dbt on Snowflake with Airflow — rather than generic “data” experience.

  2. Passive talent mapping

    We approach engineers and analysts in comparable data teams across banking, retail, health and government who are not on job boards.

  3. Portfolio review

    We review GitHub repos, dashboards and case write-ups to evidence real delivery before submission.

  4. SQL & modelling screen

    Practical screening on SQL, data modelling and data-quality thinking, tailored to seniority.

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Ways to engage

Permanent, contract or a whole data engineering & analytics team

Hire individual data engineering & analytics specialists, or let us build and support a team around your project.

Proof points

Recent delivery results

Turnaround and placement outcomes from recent ALOIS engagements.

Intelligent Automation · TransformationContract

Leading Australian Bank

Banking & Financial Services

“The RPA project was managed from end-to-end with high professionalism and speed.”
Challenge
A complex RPA integration and data migration project needed specialist architects and secure handling of confidential data.
Solution
Rapid deployment of 10 RPA resources and a Solution Architect within 45 days, supporting a confidential data migration.
RPA specialists
10
Days to go-live
45
Data migration
Secure
Transformation · Senior DeliveryContract

Global IT & Digital Transformation Firm

Financial Services Program

“Their proactive approach and weekend support ensured we hit our high-priority project milestones.”
Challenge
A high-priority financial services project needed tailored CVs and rapid turnaround for senior manager roles.
Solution
Proactive candidate search with profile delivery within hours — including weekends — to protect the project timeline.
Profile turnaround
Hours
Key placements
10
Manager kudos
4+
“ALOIS Australia has been a highly reliable recruitment partner, consistently demonstrating professionalism, responsiveness, and a strong understanding of our technical and delivery requirements. Their team takes the time to truly understand role expectations, client environments, and cultural fit, which has resulted in high-quality candidate submissions and improved time-to-hire outcomes. What sets ALOIS apart is their proactive communication and ability to adapt quickly to changing business needs.”
Tech & Delivery Executive · Confidential client
FAQ

Data Engineering & Analytics recruitment FAQs

What's the difference between a data engineer and a data analyst?

Data engineers build and maintain the pipelines and platforms that move and store data. Data and BI analysts use that data to produce reporting and insight. ALOIS recruits both, along with data scientists and data architects.

Which cloud data platforms do your candidates cover?

Our data candidates cover AWS, Azure and Google Cloud, plus platforms such as Databricks, Snowflake, Microsoft Fabric and BigQuery, and BI tools such as Power BI and Tableau.

Can you hire data contractors for a short project?

Yes. We regularly place data engineers and analysts on day-rate contracts for migrations, platform builds and reporting projects, as well as permanent roles.

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