Senior Data Engineer - AWS | AI Talent · Teeming.ai
AI Talent
AI Talent is an Australian-owned company established in 2010, specializing in providing exceptional AI professionals for impactful projects. With over 25 years of industry experience, they offer…
AI TalentArtificial IntelligenceAustraliaCloudData ScienceIT StaffingMachine LearningRecruitmentaitalent.com.au
AI Talent
AI Talent is an Australian-owned company established in 2010, specializing in providing exceptional AI professionals for impactful projects. With over 25 years of industry experience, they offer…
AI TalentArtificial IntelligenceAustraliaCloudData ScienceIT StaffingMachine LearningRecruitmentaitalent.com.au
HQSydney, AU
Team Size48
Open Jobs20
Total Funding-
Latest FundraiseUnknown
Join the Team
Senior Data Engineer - AWS
HybridSydney, New South Wales, AU
Hybrid • Sydney, New South Wales, AU
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We're partnering with a rapidly evolving leader in the
Logistics and Supply Chain
sector, dedicated to
optimising
complex global operations and improving operational efficiency through data. For the right candidate with the necessary skills and experience, we are pleased to offer
482 visa sponsorship
.
This client requires a
Senior Data Engineer
to act as a technical authority for their entire data platform built on
AWS
. You will take the lead in
architecting, building, and governing
highly scalable, real-time data pipelines (streaming and batch) that ingest, transform, and serve critical operational and analytical data. You will champion engineering best
practises
and mentor junior team members, directly enabling complex business intelligence and machine learning initiatives.
What You'll Do
What You'll Bring
6+ years of progressive professional experience in Data Engineering, with at least 2 years operating in a senior or lead capacity.
Architect and Implement
end-to-end data solutions on AWS using services such as
S3, Glue, EMR, Kinesis, DynamoDB, and Redshift/Snowflake
.
Lead the design
of the data lake and data warehouse, ensuring data governance, quality, security, and compliance are maintained.
Develop and optimise robust ETL/ELT data pipelines
using expert-level
Python
or Scala programming.
Champion DevOps practises
for data, including automated testing, CI/CD, and
Infrastructure as Code (IaC)
using
Terraform
or CloudFormation.
Analyse
complex data requirements and provide strategic guidance on data modelling, schema
optimisation
, and query performance tuning.
Mentor and guide
junior data engineers on technical design, coding standards, and cloud engineering best
practises
.
Proactively troubleshoot
and resolve complex data platform issues, ensuring high availability and reliability of critical data assets.
Expert-level, hands-on experience with the AWS data ecosystem
(S3, Glue, EMR, Kinesis/Kafka, Redshift) is mandatory.
Expert-level proficiency in
Python
or Scala for data processing and pipeline development.
Advanced proficiency in SQL, dimensional modelling, and data warehousing concepts.
Proven experience implementing
Infrastructure as Code (IaC)
using Terraform or CloudFormation.
Experience with real-time data streaming technologies (e.g., Kafka, AWS Kinesis).
Strong understanding of data governance, security principles, and cost
optimisation
within cloud data platforms.
Exceptional communication and leadership skills, with the ability to drive technical decisions across teams.
