Senior Snowflake Data Engineer | Cloud Data Platform

Slalom; Canberra; On-site; AUD 120,000 - 180,000; Full time

Job summary

Slalom is seeking a Senior Data Engineer in Canberra to join our data practice. You will help design, build, and optimize data platform solutions across AWS, Azure and GCP, working with Snowflake, Databricks, and modern ELT tools.

You will collaborate with cross-functional teams and contribute to data modeling, governance, and analytics initiatives. You will partner with clients to translate data requirements into robust, scalable pipelines and data architectures, while applying best practices

Qualifications

• Multiple years of hands-on experience in data engineering.
• Proficiency in SQL and Python as core programming languages.
• Strong experience with cloud-based data platforms (AWS preferred; Azure and GCP also valued).
• Hands-on experience designing, developing, and optimizing data solutions in Snowflake, including data modeling, performance tuning, data sharing, and security best practices
• Experience with cloud data warehousing and lakehouse platforms such as Amazon Redshift, Snowflake, Databricks, or Azure Synapse Analytics
• Experience with data integration and ingestion tools such as AWS Glue, Azure Data Factory, Fivetran, or similar ELT/ETL tooling
• Experience with big data processing platforms such as Amazon EMR, Apache Spark, or Databricks
• Solid understanding of data modeling, ETL/ELT best practices, and data warehousing concepts including familiarity with open table formats such as Apache Iceberg or Delta Lake
• Familiarity with CI/CD pipelines and DevOps/DataOps practices including version control tools like Git
• Experience working with NoSQL Databases such as Amazon DynamoDB, Azure Cosmos DB, or MongoDB
• Experience with Modern Data Workflows and orchestration tools such as Apache Airflow, dbt, Dagster, or AWS Step Functions
• AI/ML Tools: Amazon SageMaker, Databricks ML/MLflow, Azure ML Studio (beneficial but not essential)

Responsibilities

• Work in teams with minimal oversight and direction to deliver innovative solutions on Amazon Web Services, Microsoft Azure, and Google Cloud Platform using core cloud data warehouse tools, distributed processing engines, event streaming platforms, and other modern data related technologies.
• build the next generation of data platforms and work with some of the most forward-thinking organizations in data and analytics.
• Work under the direction of a Solution Architect to help design and implement components of our clients’ data platform solution.
• Participate in design sessions and be able to break down complex development tasks, and complete development items on time.

Skills

SQL

Python

AWS

Azure

GCP

Snowflake

Databricks

ETL/ELT

Airflow

CI/CD

NoSQL

Data modeling

DynamoDB

Spark

Delta Lake

dbt

Dagster

Git

SageMaker

Tools

AWS Glue

Azure Data Factory

Fivetran

dbt

Dagster

Airflow

Job description

Slalom is seeking a Senior Data Engineer in Canberra to join our data practice. You will help design, build, and optimize data platform solutions across AWS, Azure and GCP, working with Snowflake, Databricks, and modern ELT tools.

You will collaborate with cross-functional teams and contribute to data modeling, governance, and analytics initiatives. You will partner with clients to translate data requirements into robust, scalable pipelines and data architectures, while applying best practices