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Senior Engineer, Data

Slalom, Inc.
Auckland, New Zealand
On-site

About this role

About the Role Slalom's Data Engineering capability designs scalable, future-proof data foundations using modern data platforms and data strategies. The role focuses on building data platforms, real-time streaming, embedded machine learning, and DataOps to guarantee reliable, high-quality data delivery across AWS, Azure, and GCP. What You'll Do

  • Design and deliver innovative solutions on AWS, Microsoft Azure, and Google Cloud Platform using core cloud data warehouse tools, distributed processing engines, event streaming platforms, and other modern data technologies.
  • Work closely with prospective clients, discuss their needs, and shape projects into a team-based delivery model.
  • Contribute to the analysis, architecture, design, and development of data solutions including defining the cloud data strategy and multi-phased implementation roadmap for clients.
  • Assist business development teams with pre-sales activities, including helping estimate and plan projects, and actively contribute to the cloud and data community at Slalom, driving new capabilities forward. What We're Looking For
  • A curious mindset with a thirst for knowledge and fearless experimentation to meet clients' data challenges.
  • A self-starter who can break down large problems and share learnings with project teams and the broader Slalom Build community.
  • Passion for continuous learning and professional growth, with strong hands-on experience in modern data architecture and engineering.
  • While not requiring expertise across all technologies, knowledge in several areas such as modern cloud data platforms (Snowflake, Databricks), data-related cloud architecture (AWS, Azure, GCP), cloud-native data services (AWS Glue, Azure Data Factory, Google Cloud Dataflow, Azure Synapse), general-purpose programming languages (Python, Java, Scala), streaming and event-driven architectures, modern data workflow tools (dbt, Apache Airflow, Dagster, Prefect), and AI / MLOps (advantageous) is valuable. Nice to Have
  • AI / MLOps experience is advantageous but not essential. Compensation & Benefits
  • Competitive and innovative benefit programs and services that meet the unique needs of our diverse workforce, including holistic well-being, meaningful allowances, and investment in our team’s professional, technical, and personal growth.

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