ai talent28.01.26
AI SCORE 8.5

Senior Data Engineer - AWS for Logistics Sector

$120K–$150K/year

About the Role

We are seeking a Senior Data Engineer - AWS to join our team remotely. In this role, you will be a key player in architecting and implementing data solutions for a leading company in the Logistics and Supply Chain sector. You will leverage your expertise in AWS to optimize complex global operations and enhance operational efficiency through data.

What You'll Do

  • 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 optimize robust ETL/ELT data pipelines using expert-level Python or Scala programming.
  • Champion DevOps practices for data, including automated testing, CI/CD, and Infrastructure as Code (IaC) using Terraform or CloudFormation.
  • Analyze complex data requirements and provide strategic guidance on data modeling, schema optimization, and query performance tuning.
  • Mentor and guide junior data engineers on technical design, coding standards, and cloud engineering best practices.
  • Proactively troubleshoot and resolve complex data platform issues, ensuring high availability and reliability of critical data assets.

Requirements

  • 6+ years of progressive professional experience in Data Engineering, with at least 2 years operating in a senior or lead capacity.
  • 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 modeling, 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 optimization within cloud data platforms.
  • Exceptional communication and leadership skills, with the ability to drive technical decisions across teams.

What We Offer

  • Competitive salary ranging from AUD 120,000 to AUD 150,000 annually.
  • 482 visa sponsorship for the right candidate.
  • Fully remote work environment, providing flexibility and work-life balance.
  • Opportunity to work with a rapidly evolving leader in the Logistics and Supply Chain sector.
  • Professional development and mentorship opportunities.
  • Access to cutting-edge technologies and tools.
  • Collaborative and inclusive company culture.
Why This Job8.5 of 10

This Senior Data Engineer role offers a unique opportunity to lead data solutions in the Logistics sector while working remotely. With competitive compensation and visa sponsorship, it's an attractive position for experienced data engineers.

Salary Range
Required
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Optional
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Bonus
0/1

About ai talent

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Industry
Tech
Location
Remote

Who Will Succeed Here

Proficient in AWS services such as Redshift, S3, and EMR, with hands-on experience in crafting data pipelines that handle large datasets in the logistics sector.

Self-motivated and disciplined, thriving in a remote work environment, with the ability to manage time effectively and prioritize tasks without direct supervision.

Deep understanding of data governance practices and compliance standards, ensuring data quality and security in line with industry regulations, particularly in logistics operations.

Learning Resources

AWS Data Engineering on AWScourse

Career Path

Senior Data Engineer - AWS for Logistics Sector(Now)Lead Data Engineer or Data Architect(2-4 years)Director of Data Engineering or Chief Data Officer(5-7 years)

Market Overview

Market Size 2024
$120B
Annual Growth
22.5%
AI Adoption in Data Engineering
45%
Investment in Cloud Services
+35%
Labour Demand for Data Engineers
+30%
Avg Salary for Senior Data Engineers
$150K

Skills & Requirements

Required
AWSPythonScala
Growing in Demand
Apache SparkMachine LearningData Lake Architecture
Declining
Hadoop MapReduceOn-Premise Data Warehousing

Domain Trends

Rise of Serverless Architectures
Serverless computing is expected to grow by 30% in the logistics sector, allowing for more scalable and cost-effective data processing solutions.
Increased Focus on Data Governance
Data governance frameworks are becoming critical, with 60% of organizations in logistics prioritizing compliance and data quality initiatives.
Integration of AI and Machine Learning
Over 50% of logistics companies are adopting AI-driven analytics tools to enhance operational efficiencies and predictive capabilities.

Industry News

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