Senior Engineer - Data and AI - Melbourne

Slalom is a purpose-driven consulting company focused on strategy, technology and business transformation. Founded in 2001, we had a simple goal - build a company where people love their work and love their life.As we continue to grow in Australia, we have a responsibility and opportunity to do good in the world. We’re committed to building our business in ways that are sustainable and responsible, while creating innovative solutions to the world’s biggest challenges. We have bold aspirations for the future and together with our people, partners and customers, we take measurable actions for today.

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 as part of high-performing delivery teams to design and build modern data solutions for clients

· Develop scalable data platforms and pipelines using technologies such as Databricks, Snowflake, AWS and Azure

· Contribute to the design and implementation of cloud-native data platforms, including batch and near real-time data processing capabilities

· Collaborate with Solution Architects and client stakeholders to translate business and technical requirements into high-quality engineering outcomes

· Participate in technical design sessions, break down complex problems into deliverable work items, and deliver to agreed timelines

· Build, test and deploy robust data pipelines using modern engineering practices, including CI/CD and version-controlled development

· Support the ongoing improvement of platform reliability, performance, security and maintainability

· Contribute to a strong engineering culture by sharing knowledge, mentoring peers, and promoting best practices in delivery

What you’ll bring?

· 4+ years of hands-on experience in data engineering or related roles

· Strong programming skills in SQL and Python

· Experience building and maintaining modern data platforms using technologies such as Databricks and/or Snowflake

· Hands-on delivery experience in at least one major cloud platform, ideally AWS or Azure

· Strong understanding of data modelling, data warehousing, Lakehouse concepts, and scalable pipeline design

· Experience working with distributed data processing frameworks such as Apache Spark

· Experience building batch and near real-time data pipelines

· Experience with orchestration and transformation tools such as Apache Airflow and dbt

· Experience enabling AI and machine learning initiatives by building reliable data pipelines, curated datasets, and production-ready data platform components

· Understanding of data preparation requirements for AI workloads, including feature engineering, metadata enrichment, and governed data access

· Understanding of testing, monitoring and data quality practices in a production environment

· Strong problem-solving skills, with the ability to break down complex challenges and work collaboratively to solve them

· A curious, client-focused mindset and a willingness to learn, adapt and explore new technologies

· Comfortable working in Agile delivery environments

Nice to have

· Experience with NoSQL technologies such as DynamoDB, Cosmos DB or MongoDB

· Exposure to event-driven or streaming technologies such as Kafka, Kinesis or Event Hubs

· Experience with infrastructure as code tools such as Terraform

· Familiarity with integrating AI/ML services and tools within cloud-based data environments to support advanced analytics, automation, and intelligent applications

· Exposure to AI/ML and generative AI tooling such as Amazon SageMaker, Azure Machine Learning, Azure OpenAI, or similar platforms

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.

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