Work options: Hybrid Who are we?
Cevo is a trusted leader in technology delivery on the AWS platform. Established in 2016, we're an Advanced AWS Consulting Partner, headquartered across Sydney, Melbourne, Brisbane and Canberra.
We empower our customers to simplify cloud adoption and accelerate digital transformation by leveraging emerging technologies, modern productivity tools and cloud native platforms.
Drawing on experience across diverse projects and customers, our consultants enable organisations to innovate through modernisation, data and artificial intelligence and advisory services, underpinned by AWS best practice.
Our AWS specialisation and expertise has helped more than 200 organisations stay competitive in a dynamic environment, ranging across start-ups, commercial, enterprise and government customers.
We are a diverse team of people with a shared passion for helping our customers move faster with confidence. Our skilled consultants are curious, passionate and committed to enabling our customers to efficiently navigate the complexities of cloud adoption by delivering tailored, innovative and reliable solutions.
About the Role
We are seeking an experienced AWS Data Engineer to design, build scalable data solutions on AWS. You will work closely with data scientists, analysts, and business stakeholders to ensure data availability, integrity, and performance across platforms.
Key Responsibilities
Design and implement data pipelines using AWS services (Glue, Lambda, Step Functions, Kinesis, etc.).
Develop ETL processes for structured and unstructured data.
Optimize data storage and retrieval using Amazon S3, Redshift, DynamoDB, and RDS.
Integrate Amazon SageMaker into data workflows to enable machine learning model training and deployment.
Ensure data security and compliance with best practices and organizational standards.
Collaborate with cross-functional teams to integrate data solutions into business applications.
Monitor and troubleshoot data workflows for performance and reliability.
Implement CI/CD pipelines for data engineering projects.
Required Skills \& Qualifications
5+ years of experience in data engineering or related field.
Strong proficiency in AWS services (Sagemaker, Glue, Redshift, S3, Lambda, EMR).
Expertise in Python, SQL, and data modeling.
Experience with big data technologies (Spark, Hadoop) and streaming frameworks (Kinesis, Kafka).
Familiarity with DevOps practices and tools (CloudFormation, Terraform).
Knowledge of data governance, security, and compliance standards.
Preferred Qualifications
AWS Certified Data Analytics – Specialty or AWS Certified Solutions Architect.
Experience with machine learning pipelines and data lake architectures.
Background in agile development methodologies.
Our Values
Our Values are intrinsic in everything we do
ONE TEAM - Everything we achieve we achieve as ONE TEAM
We're CURIOUS
RE-IMAGINE the possible
PEOPLE are the heart of Cevo
OWN IT \& GET IT DONE
Benefits
Company perks including a technology allowance of $2,500
Strong learning and development culture - $2,000 per year to spend on professional courses + 2 paid days off to attend course and exams
The support of the Cevo Hive, helping each other to succeed
We reward and recognize achievements
Exciting start-up vibe with enterprise-level projects and clients.