Senior Engineer, Snowflake

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 a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams across 52 offices in 12 countries collaborate with clients to bring powerful customer experiences, innovative ways of working, and new products and services to life. We are trusted by leaders across the Global 1000, many successful enterprise and mid-market companies, and 500+ public sector organisations to improve operations, drive growth, and create value. At Slalom, we believe that together, we can move faster, dream bigger, and build better tomorrows for all.

Senior Data Engineer

The purpose of our Data practice at Slalom is to build a better future with Data. Through trusted partnerships with our clients, we co-create modern data solutions that drive results and improve the world. We are continuing to grow our practice whilst keeping Diversity, Equity, and Inclusiveness at the forefront, and hiring individuals who share a similar passion for data, technology, and culture. Joining our team will allow you to partner with our clients to learn from their data, create incredible digital experiences, and make the most of ML and analytics. We blend design, engineering, and expertise to help them build the future.

What You’ll Do?

• 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.

What will you bring?

• 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)

Our Values

Our culture and values reflect each individual Slalomer. We are dedicated to encouraging workplace diversity and ensuring all our people, from any background can contribute to their full potential. We wish to build a team that echoes the diversity of the communities we serve, and our values are an active part of our every-day, guiding our decisions.

What keeps us here?

When we moved to Australia in 2020, we had no idea just how important our work/life balance would need to be. We’ve asked our consultants what makes Slalom a great place to work and the most common answer – “the freedom to be ourselves when life gets in the way”. We make a big effort to bring everyone together and allow space when space is needed. We believe in helping each other thrive in work and life and are proud to invest in benefits that include holistic wellbeing, meaningful allowances, and investment in our team’s professional, technical, and personal growth.

Slalom is an equal opportunity employer and welcomes all qualified applicants. Slalom does not discriminate on grounds of race, religion, or belief, ethnic or national origin, disability, age, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.