Senior Data Engineer (Consulting)

Quantium is a world leader in data science and artificial intelligence. Established in Australia in 2002, Quantium is a global team of more than 1,200 people across 14 locations with a unique blend of capabilities across product and consulting services to help businesses unlock value from data and analytics. Quantium partners with the world's largest corporations to forge a better, more intelligent world.

Write production-quality code aligned to team standards, including appropriate unit and integration tests

Design and implement data pipelines that ingest, transform, and serve large-scale structured and unstructured datasets

Review code and test cases produced by others, ensuring changes satisfy business requirements, follow best practices, and integrate cleanly with the existing codebase

Provide constructive feedback to other team members on code quality, design patterns, and testing approaches

Collaborate with other Lead and Senior Engineers to produce high-level designs and technical architectures for larger pieces of work

Validate technical designs and estimates produced by other team members

Merge reviewed code into release branches, resolve conflicts, and manage deployments to production and non-production environments

Troubleshoot production issues and raise / prioritise bug tickets to drive resolution

Proactively monitor pipeline health, data quality, and system performance — acting to report and resolve issues before they impact downstream consumers

Provide support for periodic ETL processes that run outside standard Hyderabad business hours (aligned to Australian time zones), ensuring SLAs are met

Work with business stakeholders and technical leads to define, scope, and estimate new epics

Contribute to backlog refinement sessions, breaking down epics into well-defined user stories that deliver incremental business value

Work closely with Product Owners to ensure the backlog is prioritised to maximise business value while managing technical debt

Contribute to sprint planning, daily stand-ups, sprint reviews, and retrospectives to maintain a culture of continuous improvement within the squad

Coach and mentor more junior engineers to support their technical growth and professional development

Support the Lead Data Engineer in identifying development opportunities and aligning work assignments to team members' longer-term career objectives

Lead the technical design and architecture of AI-enabled applications, ensuring scalability, performance and security across both frontend and backend systems.

Drive end-to-end delivery of enterprise-grade software solutions for major clients, taking accountability for quality, timeliness and alignment with client expectations.

Act as a technical consulting partner to client stakeholders, representing Quantium's engineering capability in senior conversations and translating strategic AI ambitions into executable delivery roadmaps.

Establish and embed repeatable methodologies, engineering standards and AI delivery playbooks that can scale across multiple client engagements.

Lead and develop a team of engineers, fostering capability growth, engineering excellence and a strong delivery culture aligned to Quantium's capability framework.

Collaborate with product managers, delivery managers and data science teams to translate business requirements into well-architected technical solutions.

Own and drive the engineering roadmap for assigned products and client platforms, balancing technical debt reduction with feature and AI capability development.

Champion the adoption of AI-first engineering practices, modern cloud-native architectures and responsible AI principles across client and internal teams.

Lead technical discovery sessions, architecture reviews and design forums for major features, system components and AI integration patterns.

Contribute to Quantium's broader engineering community through knowledge sharing, thought leadership and participation in cross-team technical initiatives.

5+ years of experience designing, developing, and implementing end-to-end data solutions (storage, integration, processing, access) on Google Cloud Platform or a comparable cloud platform

Strong proficiency in SQL and Python for data engineering workloads

Demonstrated experience building ETL/ELT pipelines that transform and process large volumes of structured and unstructured data

Solid understanding of data warehousing concepts and data modelling techniques (e.g. dimensional modelling, slowly changing dimensions)

Hands-on experience with BigQuery, Airflow or Argo Workflows, Dataflow, and Pub/Sub (or equivalent tools on other cloud platforms)

Familiarity with version control (Git) and CI/CD practices

Understanding of GNU/Linux systems and shell scripting (Bash)

Bachelor's degree in Computer Science, Information Technology, or a related discipline

Comfortable working in a fast-paced agile development environment

Strong problem-solving and analytical skills

Good written and verbal communication skills in English

Experience with infrastructure-as-code tools (e.g. Terraform)

Familiarity with containerisation technologies (e.g. Docker, Kubernetes)

Exposure to data quality frameworks, data observability tooling, or data governance practices

Proficiency with AI-assisted development tooling (e.g. GitHub Copilot, Claude Code, Cursor) and a demonstrated ability to incorporate these tools thoughtfully into day-to-day engineering workflows to improve productivity and code quality

Experience working with cross-functional stakeholders across multiple time zones

Prior experience mentoring junior engineers in a squad or team setting

Commercial awareness, with the ability to connect technical work to business outcomes

Working at Quantium will allow you to challenge your imagination. You will get to solve complex problems using rigor, precision, and by asking great questions – but it also means you can think big, outside the box, and push your problem-solving skills to the max.

Forge your path : Shape your career journey with opportunities to move across different teams or offices

Find your kind : Embrace diversity and connect with like-minded professionals

Make an impact : Drive transformational outcomes for leading FMCG clients through data-driven solutions