Senior Engineer

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 Engineer - Data Engineering
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?

• 4+ years of hands-on experience in data engineering
• Proficiency in SQL and Python modern programming language
• Strong experience with cloud-based data platforms (AWS preferred; Azure and GCP also valued)
• Experience with tools such as Azure Data Factory, Databricks, Snowflake, Synapse, or similar
• Solid understanding of data modeling, ETL best practices, and data warehousing
• Familiarity with CI/CD pipelines and DevOps/DataOps practices
• Comfortable working in Agile environments and using version control tools like Git
• A curious, client-focused mindset with a passion for learning and experimenting with new technologies
• Strong problem-solving skills, with the ability to break down complex problems and share insights with the team
• Experience working with NoSQL Databases: DynamoDB, Cosmos DB, MongoDB
• Experience with Modern Data Workflows: Apache Airflow, dbt, Dagster
• AI/ML Tools: Amazon SageMaker, 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.